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About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. Role:  Behavior Planning: Build and improve behavior planning logic for urban driving, auto parking, and safety features. This includes state machines, mode arbitration, feature activation/abort conditions, and fault handling.  Multi-ECU SW Integration: Integrate ADAS application software across multiple ECUs and embedded Linux platforms. Handle interface definitions, signal mapping, timing, and data flow between domains.  Requirements to Code: Break system-level ADAS requirements down into software tasks and keep the implementation traceable to those requirements.  SW Testing & Validation: Validate software through unit tests, SIL/HIL, test benches, and on-vehicle testing. Support vehicle builds and field operational tests (FOTs).  Cross-functional Collaboration: Work with perception, motion planning & control, vehicle controls, HMI, systems, and validation teams to deliver features end to end.  Release Support: Contribute to software releases, interface change management, and documentation. Track work in Jira with clear, reproducible results.  Required Qualifications:  B.S. or M.S. in Computer Science, Electrical/Computer Engineering, Robotics, or a related field  0–3 years of relevant industry or research experience in ADAS/AD, robotics, or embedded systems  Strong C++ programming skills and a solid grasp of software engineering fundamentals  Experience developing and debugging on Linux, and with Git-based workflows  Basic understanding of vehicle dynamics, state machines, or decision-making logic for autonomous systems  Strong debugging skills, eagerness to learn, and clear communication  Preferred Qualifications:  Experience with embedded or automotive platforms (e.g., NVIDIA Orin, Infineon Aurix) or multi-ECU architectures  Familiarity with middleware such as ROS/ROS 2, DDS, or SOME/IP  Python for tooling, log analysis, or test automation  Hands-on project experience in urban driving, parking, or active safety features (e.g., AEB)                At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations. Salary Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.   Base Pay Range (Annual) $134,700 — $185,240 USD Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Collaborate across time zones with global teams while serving as the technical expert for the India market You may be a good fit if you have: 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Ability to work effectively across cultures and time zones as part of a global team Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. Position Overview Manager, Drive Unit is responsible for a team of up to six full-time engineers in developing clear KPIs based on vision for the broader Resident Product Engineering group, mentor employees through technical/organizational challenges, develop talent, & create a thriving environment for employees to succeed. Partner with core engineering team leaders in workload prioritization, engineering decisions, & change management peer review/approvals Key Responsibilities Develop a team of product engineers to address product & multi-variable problems within Drive Unit System in close collaboration with cross-functional teams Empower the team to solve complex component/system level problems using standard problem-solving techniques and Design of Experiments (DoE) Enforce data driven proactive problem solving, root cause analysis & issue avoidance due to process deviations or critical part quality issues Establish technical depth in Electric Drive Unit hardware & its interface with other systems within the team Create an environment of trust & efficient work culture within the team to deliver impactful results Manage conflicts/escalation from several functions in the plant with competing priorities Develop organizational processes and tools to improve productivity & enable the team to hold other functions in the plant accountable to meet design intent Empower the team to execute product change management to address known product compatibility issues for high volume production or known product design issues in production in close collaboration with core hardware engineering & other cross-functional teams Skills Experience in using DFMEA, PFMEA, DVP&R, DFM, & RCA with cross-functional teams Prior experience in leading people & working in manufacturing environment Engineering-in-Training (EIT) or certification in engineering fundamentals Six Sigma Black Belt Certification RedX apprentice/Journeyman certification Minimum Qualifications Bachelor of Science degree in Mechanical or Automotive Engineering with 10+ years of automotive experience in design and release of vehicle attributes, or Master of Science degree with 8+ years of automotive experience Experience in product problem solving using 8D, 7 Step, RedX, DMAIC or similar methodologies Experience in setting clear KPIs & charter for the team from broader vision & mission statements Prior experience working as resident hardware engineer in a plant environment Technical depth in automotive drive unit assemblies & associated interfaces Proficient in electric drive unit EOL functionality tests & associated dynamometer test specifications Experience in product development or improvement of electric drive units & gearbox Proficiency in Catia or 3DX, stack up analysis (2D & 3D), and SQL Able to coach & develop talent through technical & administrative challenges Exceptional communication and documentation skills using Atlassian products                 Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. Position Overview Sr. Electrical Engineer, Inverter is responsible for design intent assembly requirements of Inverter Power Electronics & associated EOL test specifications. Responsible for root cause analysis of product issues, interim containment action development/verification/implementation, & permanent corrective action development/verification/implementation where applicable with close collaboration with core engineering to ensure design intent & validation requirements are met.     Key Responsibilities Solve complex component/system level problems using standard problem-solving techniques for inverter power electronics & associated software interface   Data driven proactive problem solving, root cause analysis & issue avoidance due to process deviations or critical part quality issues    Establish technical depth to troubleshoot all Inverter Power Electronics components and associated interface EOL test equipment/test specifications   Responsible for design intent assembly requirements for Inverter Power Electronics assembly & associated enforcement on the line in close collaboration with cross-functional teams   Support new product launches, execute part concession deviations for Inverter Power Electronics & associated test specification in the manufacturing plant   Support high volume production ramp activities pertaining to product engineering activities   Advice on build process development and possible improvements for high volume production lines    Lead product change management to address known product compatibility issues for high volume production or known product design issues in production in close collaboration with cross-functional teams where appropriate     Skills   Structured product problem-solving and root cause analysis using industry-standard techniques   Advanced data analysis using statistical methods and tools such as Minitab, JMP, Python, and MATLAB   Technical expertise in Inverter Power Electronics, including associated interfaces and troubleshooting   Expertise in analog and digital electronic circuits   Proficiency with laboratory equipment, including oscilloscopes, signal generators, probes, power analyzers, and DC/AC power supplies   Knowledge of electromagnetic compatibility and Power Electronics functional testing   Knowledge of communication protocols and associated troubleshooting   Proficiency in DFMEA, PFMEA, Control Plans, DVP&R, DFM/DFA, and RCA   Proficiency with Atlassian tools, including Jira and Confluence   Strong communication, cross-functional collaboration, and technical documentation skills   Minimum Qualifications Bachelor of Science degree in Electrical Engineering or a related discipline with 5+ years of automotive experience in vehicle attribute design and release, or a Master of Science degree in Electrical Engineering or a related discipline with 6+ years of relevant automotive experience   Prior experience in a resident product engineering role within a manufacturing plant   Experience in the development or improvement of Power Electronics products   Six Sigma Green Belt or Black Belt certification   Engineering-in-Training (EIT) certification or certification in engineering fundamentals   Collegiate FSAE, BAJA, or similar experience is preferred           Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility.   Lucid Motors is at the forefront of redefining collision repair in the electric vehicle era. This position offers a unique opportunity to take an established program and elevate it further—setting new benchmarks for safety, quality, and customer experience across Europe.   In this role, you will refine and implement a forward-thinking collision repair strategy that strengthens our brand and supports continued growth. By enhancing our high-performing network of body shops and fostering strong partnerships with insurers and internal teams, you will play a pivotal role in delivering operational excellence combined with innovative technology.   You will oversee performance, enforce standards, and drive continuous improvement—ensuring every repair meets Lucid's uncompromising safety and quality requirements. If you excel at developing frameworks, guiding partners, and elevating customer experience on a large scale, this is your opportunity to make a significant impact on Lucid's European operations.     Key Responsibilities   Develop and Execute the European Collision Strategy   Design and implement an innovative collision repair strategy aligned with Lucid's brand standards across Europe.   Establish, grow, and manage a third-party body shop network to support expansion.   Build and lead the European collision repair program team as volume scales.   Drive Partner Performance   Monitor network performance using clear KPIs (e.g., safety, quality, cycle time, key-to-key, first-time-right, NPS).   Take proactive measures to address underperformance and disengage from non-compliant partners when necessary.   Enable Parts and Distribution   Collaborate with Parts & Supply Chain teams to optimize body parts distribution processes in Europe.   Resolve escalations promptly to maintain repair flow.   Ensure Compliance and Standards   Embed and audit Lucid's SOPs and Authorized Body Shop standards.   Implement corrective actions to close gaps and ensure compliance across the region.   Adapt Tools for European Operations   Partner with internal teams to tailor program software (e.g., Technical Information Portal, Network Management System) to European requirements.   Manage the rollout of diagnostic laptops and specialized tooling to approved shops.   Oversee estimating platforms (DAT/Audatex), network management systems, and act as subject matter expert for tooling program support and training.   Lead the network audit program.     Experience   5–7 years of diverse automotive experience, including significant expertise in collision repair or vehicle painting.   Strong ability to collaborate effectively with individuals, teams, vendors, and business partners.   Previous experience with premium or electric vehicle brands (e.g., BMW, Mercedes-Benz, Porsche).   Proven track record in building and managing partner networks.   Prior experience in matrix organisations.   Willingness to travel up to 50% of the time.     Required Qualifications   Bachelor's degree in automotive technology, Business Administration, or Management- or equivalent experience such as a Master Craftsman qualification.   Proficiency in Microsoft Office and readiness to work with internal systems (e.g., DMS).   Familiarity with project management tools such as Jira or Smartsheet.   Valid Class B driver's license.   Fluency in English; German language skills preferred.     Lucid Motors is committed to maintaining a safe and trustworthy environment. As such, a background check may be required during the hiring process. This will be performed in line with European data protection laws, and candidates will be informed and asked to provide consent before the check is conducted. Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you.  The subteam for this role will be: The Predictive Planning team (PrePlan) develops and deploys state of the art machine learning solutions that predicts the future State of the world and plan the Waymo Driver's Behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performat deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: Research, implement, and evaluate state-of-the-art models for planning and predictions Analysis of results in both open-loop and closed-loop Conduct machine learning experiment using JAX and Python Collaborate within and across teams, and present the conclusion / insights in a clear manner You have: Currently pursuing a PhD degree in Computer Science, Machine Learning, Robotics, or related field Experience with Transformers architecture and reinforcement learning Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) with basic programming skills (eg: Python) Strong analytical and debugging skills We prefer: Publications in top-tier machine learning or robotics conferences Prior software development or research industry experience Background knowledge in the AV industry, particularly for behavior-related research Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 — $85 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!   You will: Solve research problems in world modeling and reasoning in autonomous driving systems Prototype and iterate research ideas Present research findings to a wide audience within Waymo, with the goal of publishing results to the research community You have: Currently enrolled in a PhD program in Computer Science, Robotics, or a similar technical field of study Research experience in computer vision and machine learning Strong programming skills in Python We prefer: First-authored publications from top-tier Computer Vision, graphics, or robotics conferences Research experience in generative models or large language models Hands-on experience with deep neural networks and familiarity with at least one type of deep learning frameworks such as PyTorch, Jax, Tensorflow, etc.   Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 — $85 USD

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. Who we are We're a passionate engineering, platform, and operations team building products that help wellness businesses grow and help more people discover experiences that support full, healthy lives. At Mindbody, our software powers the tools fitness, beauty, and wellness businesses rely on every day to serve their communities. We believe great products are built by teams with different perspectives, shared purpose, and a commitment to continuous learning. We're creating an environment where people feel supported, included, and empowered to do thoughtful work that makes a real-world impact. The Role You'll Play As a Software Engineer II on the Mindbody Software Engineering team, you'll help build and maintain secure, reliable backend systems that support the Mindbody ecosystem. You'll work closely with Product, Design, QA, and other engineers to deliver meaningful improvements for our customers and the businesses they serve. You'll contribute to well-scoped projects with support from your team, continue growing your technical depth, and help create software that powers real-world wellness experiences around the globe. You'll likely spend time working on: Build and maintain backend systems and applications that support Mindbody products Collaborate with Product, Design, QA, and Engineering to design, implement, test, and release product improvements Contribute to secure, scalable services using thoughtful engineering practices Participate in code reviews with clear, constructive feedback Apply engineering best practices, including automated testing, monitoring, and maintainable code Learn and contribute across one or more technical areas within your team's codebase Engage in retrospectives and team discussions with a focus on continuous improvement Keep customer needs in mind while building tools that help wellness businesses grow Experience You Bring 2+ years of experience programming large-scale SaaS products Experience building backend services with an object-oriented language such as C# or Java Experience designing and architecting backend services Experience designing and working with microservice architecture Experience with monitoring systems such as New Relic or Kibana Familiarity with SDLC, programming design patterns, and Agile methodology Ability to evaluate the impact of new features and identify potential application risks Clear, professional communication skills and a collaborative approach to problem solving The Role You'll Play You'll help keep assigned projects on track by aligning people, priorities, and resources to deliver key milestones. You'll lead and develop a software engineering management team, strengthen coding and problem-solving capabilities, and help build a high-performing backend and core software organization for Mindbody. In this role, you'll partner closely with design and business teams to bring useful, usable, and customer-centered product experiences to life Build and manage a talented backend development organization focused on delivering meaningful product features Lead, coach, and develop software engineering managers and technical team members Establish development metrics and regular processes for assessing performance and identifying opportunities for improvement Create consistent project management and software development processes that support high-quality delivery in rapid iterations Apply strong design, business, and technical judgment to accelerate releases while advancing long-term product goals Champion software development excellence, customer centricity, and continuous improvement across the organization Present and evangelize prototyped concepts to diverse audiences through both formal and informal presentations Facilitate cross-functional teams, contribute to short- and long-term planning, and help resolve challenges constructively Experience You Bring 7+ years of hands-on experience as a web development engineer 7+ years of experience managing backend development teams 5+ years of experience managing and leading technical employees Experience developing products for global markets Experience working in a highly agile or Scrum environment Demonstrated ability to recruit, mentor, and develop strong software engineering teams Strong judgment and communication skills, with the ability to collaborate effectively across design, business, and technical teams A commitment to serving customers, evolving how work gets done, and creating useful, usable experiences Technology: We value adaptability and problem-solving over specific tools. Mindbody is primarily a .NET and C# engineering organization running on AWS. Depending on your team and area of focus, you might work with: Backend: .NET 8, ASP.NET Core, Java, Kotlin, Python, Django, Ruby, and Rails Frontend and mobile: React, TypeScript, Next.js, Ember, and React Native Data: PostgreSQL on Aurora, SQL Server, Redis, and MongoDB Infrastructure and delivery: AWS, Kubernetes on EKS, Lambda, Pulumi, Docker, Helm, Flux, Azure DevOps, GitHub, LaunchDarkly, and New Relic Pay Transparency: Pay Transparency: It is Playlist's intent to pay all Team Members competitive wages and salaries that are motivational, fair, and equitable. The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. The base salary range for this position in the United States is $100,000 - $132,000. The total compensation package for this position also includes a bonus target and a full benefits package. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice   (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. ClassPass offers thousands of fitness and wellness experiences worldwide, helping people lead active, balanced lifestyles. Our platform makes discovering and enjoying activities simple, personalized, and joyful—whether it's fitness classes, self-care sessions, a healthy lunch, or a new adventure. Join us in shaping healthier, more vibrant communities around the globe. The Role You'll Play   Collaborate with Product, Design, and QA teams to iterate on backend architecture and deliver end-to-end solutions.   Design and build reliable, scalable APIs and microservices that power core platform functionality.   Apply engineering best practices—such as automated testing, code reviews, and proactive monitoring—to maintain high system reliability.   Seek diverse feedback and use it to improve code quality and team collaboration.   Participate in roadmap planning and design discussions, contributing thoughtful insights and technical expertise.   Keep user experience top of mind, building systems that delight both studio partners and end users.   Experience You Bring   Significant experience building and scaling backend systems for large-scale SaaS products.   Strong background in object-oriented programming languages such as C# or Java.   Experience designing service-oriented and microservice-based architectures.   Familiarity with modern monitoring and observability tools (e.g., New Relic, Kibana).   Solid understanding of software development lifecycle (SDLC), design patterns, and Agile methodologies.   Proven ability to assess feature impact, identify potential risks, and design for long-term maintainability.   Detail-oriented, collaborative, and driven by a desire to build excellent systems.   Strong verbal and written communication skills in a professional setting.   Technologies You'll Work With   Backend Languages: JAVA, Kotlin, Python,  Frontend: React   Databases: SQL and relational database systems   Monitoring: New Relic, Kibana   Workflow: Agile processes, cross-functional collaboration   Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice   (as applicable).

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. ClassPass offers thousands of fitness and wellness experiences worldwide, helping people lead active, balanced lifestyles. Our platform makes discovering and enjoying activities simple, personalized, and joyful—whether it's fitness classes, self-care sessions, a healthy lunch, or a new adventure. Join us in shaping healthier, more vibrant communities around the globe. The Role You'll Play   Collaborate with Product, Design, and QA teams to iterate on backend architecture and deliver end-to-end solutions.   Design and build reliable, scalable APIs and microservices that power core platform functionality.   Apply engineering best practices—such as automated testing, code reviews, and proactive monitoring—to maintain high system reliability.   Seek diverse feedback and use it to improve code quality and team collaboration.   Participate in roadmap planning and design discussions, contributing thoughtful insights and technical expertise.   Keep user experience top of mind, building systems that delight both studio partners and end users.   Experience You Bring   Significant experience building and scaling backend systems for large-scale SaaS products.   Strong background in object-oriented programming languages such as C# or Java.   Experience designing service-oriented and microservice-based architectures.   Familiarity with modern monitoring and observability tools (e.g., New Relic, Kibana).   Solid understanding of software development lifecycle (SDLC), design patterns, and Agile methodologies.   Proven ability to assess feature impact, identify potential risks, and design for long-term maintainability.   Detail-oriented, collaborative, and driven by a desire to build excellent systems.   Strong verbal and written communication skills in a professional setting.   Technologies You'll Work With   Backend Languages: JAVA, Kotlin, Python,  Frontend: React   Databases: SQL and relational database systems   Monitoring: New Relic, Kibana   Workflow: Agile processes, cross-functional collaboration   Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice   (as applicable).

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role As a Staff Enterprise Security Engineer at SoFi, you will serve as the subject matter expert for Data Loss Prevention (DLP) while driving engineering across broader enterprise security domains—including email security, endpoint protection, network defense, and phishing simulation. Sitting within the Enterprise Security team, this role balances technical focus on data protection with hands-on architecture, operation, and automation of foundational IT and corporate security controls. We seek security leaders who combine technical mastery in tool administration (e.g., Zscaler, Proofpoint, Sentra, CrowdStrike) with systems thinking to mitigate risk across diverse threat vectors. In this role, you will define risk mitigation strategies and build clear technical roadmaps—accelerating security delivery while maintaining safety, correctness, and data protection.   What you'll do Lead end-to-end delivery and architecture for enterprise security capabilities: enterprise zero-trust networks, endpoint security, and SaaS posture management. Frame complex security challenges: clarify security requirements, threat models, failure modes, and success metrics while proposing clear architectural options and tradeoffs. Design for scale and resilience: establish secure baseline configurations, automate security guardrails, and reduce systemic attack surfaces with minimal enterprise friction. Collaborate with internal security teams to establish and maintain threat signaling to ensure that proper visibility and alerting is achieved across tooling. Raise cybersecurity standards through design reviews, active mentorship of team members, and establishing enterprise security patterns and best practices. Collaborate cross-functionally with IT, Infrastructure, Risk/Compliance, and Engineering teams to deliver secure member outcomes.   What you'll need Education & Minimum Experience Requirements: Bachelor's Degree + 3–4 Years of Experience OR Master's Degree + 2–3 Years of Experience in Cybersecurity, Computer Science, Information Technology, or a related field. 3+ years of experience in cybersecurity with a focus on Data Loss Prevention (DLP). Hands-on experience with cloud-based DLP solutions (e.g., Zscaler, Proofpoint, Sentra). Experience administering and operating core enterprise security tools (EDR, email security gateways, and web proxies). Experience with Infrastructure as Code (IaC) solutions such as Terraform, along with scripting languages (Python, Go, or PowerShell) for tooling and automation. Experience with incident response, log analysis, threat detection, and digital forensics. Experience collaborating with multiple lines of defense for issue analysis, evidence gathering and remediation. Proven problem-solving skills with the ability to work independently and collaboratively in a fast-paced environment. Solid written and verbal communication skills for technical documentation, cross-functional collaboration, and threat modeling.   Nice to have Professional security certifications (e.g., CISSP, CCSP, CISM, or AWS Certified Security Specialty). Experience with CI/CD security pipeline automation, SIEM detections, and SOAR playbooks. Knowledge of financial compliance frameworks and regulatory environments (PCI-DSS, SOC1/SOC2, SOX, GLBA, NIST CSF, ISO 27001). Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. We are unable to accommodate remote work from Hawaii, Alaska or Puerto Rico at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: SoFi is seeking a Staff Data Analyst – Internal Audit to join the SoFi Internal Audit (IA) Department, reporting to the Manager, Data Analytics, Internal Audit. You will support the development and execution of data analytics solutions that enhance audit planning, risk assessments, audit testing, continuous monitoring, and departmental reporting. This is a hands-on role for an analytical and curious professional who is interested in applying data, technology, and business knowledge to support Internal Audit. You will work closely with audit teams, data owners, and business stakeholders to analyze data, identify trends and anomalies, improve audit efficiency, and communicate meaningful insights. The role will provide opportunities to develop technical, audit, and stakeholder-management skills while contributing to the continued growth of Internal Audit's data analytics capabilities. What you'll do: ● Partner with audit teams to identify opportunities to use analytics throughout the audit lifecycle, including planning, fieldwork, reporting, and monitoring activities. ● Assist with the development and enhancement of automated testing routines and recurring monitoring processes. ● Create and maintain dashboards, visualizations, and reports that communicate audit results, risk indicators, and monitoring outcomes. ● Work with data owners and stakeholders to understand business processes, data structures, definitions, and data-quality considerations. ● Document analytics procedures, assumptions, data sources, testing logic, and results in accordance with Internal Audit standards. ● Stay informed about emerging analytics, automation, and audit technologies and identify opportunities to improve Internal Audit processes. ● Demonstrate curiosity and a willingness to learn emerging technologies, including artificial intelligence, machine learning, automation, and advanced analytics. ● Explore and evaluate opportunities to responsibly apply AI and other emerging technologies to improve audit planning, testing, monitoring, reporting, and operational efficiency. ● Assist with developing, testing, and documenting AI-enabled or automated solutions that support Internal Audit activities.   What you'll need: ● 1+ years of experience in Data Analytics and Internal Audit, Risk Management, Data Science, Compliance, or a related field. ● Experience using analytics and programming tools such as SQL, Python, Excel, Alteryx, R, or similar technologies. ● Experience extracting, preparing, analyzing, and validating data from large or complex datasets. ● Experience developing reports, dashboards, analyses, or automated processes using data. ● Familiarity with data visualization and business intelligence tools such as Tableau, Power BI, or similar platforms. ● Strong analytical and problem-solving skills, with the ability to identify trends, inconsistencies, and meaningful insights. ● Ability to clearly document analytical procedures, findings, assumptions, and conclusions. ● Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders. ● Demonstrated ability to manage priorities, meet deadlines, ask thoughtful questions, and work effectively in a collaborative environment. ● Willingness to learn new tools, technologies, business processes, and audit methodologies.   Nice to haves: ● Bachelor's degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Business, Accounting, Finance, or a related field. ● Experience supporting Internal Audit, Risk, Compliance, Finance, or other control-related functions. ● Experience applying data analytics to audit planning, risk assessments, audit testing, or continuous monitoring. ● Experience building dashboards or visualizations in Tableau, Power BI, or similar tools. ● Exposure to data transformation workflows using dbt or similar technologies. ● Familiarity with Git, GitHub, code version control, peer reviews, or software development best practices. ● Exposure to financial services, banking, lending, payments, investing, or other regulated industries. ● Progress toward or interest in professional certifications such as CIA, CISA, CPA, CRMA, CAMS, or data analytics-related certifications. ● Exposure to advanced analytics, machine learning, predictive modeling, or AI-enabled audit techniques. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. We are unable to accommodate remote work from Hawaii, Alaska or Puerto Rico at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.