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Your mission At Wandelbots, we combine modern software development with industrial robotics and automation. With NOVA, we are building a platform that makes the use of industrial robots easier, more flexible, and more software-driven. As an Automation Engineer , you will work right at this intersection: You will commission automation systems and robots, support our teams with your hands-on industrial expertise, and implement customer-specific solutions based on NOVA. You will support projects from technical concept and implementation through to commissioning at the customer site, while bringing insights from real-world automation projects back into our product and engineering teams. WHAT YOU WILL DO Industrial Robotics & Automation You will be responsible for the setup, commissioning, and operation of internal and customer automation systems. Your responsibilities will include: Configuring, parameterizing, and commissioning industrial robots from different manufacturers on our shop floor and at customer sites Integrating robots, PLCs, and other peripheral devices into an automation environment Supporting electrical commissioning, troubleshooting, maintenance, and on-site customer deployments Acting as a technical point of contact for robotics and industrial automation across our teams Bringing practical experience from customer projects into technical and product related decisions NOVA & Software Development You will use Wandelbots NOVA to implement customer-specific robotics and automation solutions and bring an important application perspective into our product development. Your responsibilities will include: Translating customer robotics requirements into NOVA-based software solutions Developing project-specific applications, workflows, and functionality using Python Combining and applying existing NOVA capabilities to real industrial use cases Working closely with Software, Product, and Robotics Engineering on new use cases and technical challenges Providing structured feedback from real-world projects and turning project learnings into reusable solutions and best practices Your profile You have hands-on experience in industrial robotics and automation and enjoy working at the intersection of automation and software. Ideally, you bring: Strong knowledge of industrial robot programming, parameterization, and commissioning Practical experience with at least one major robot manufacturer such as KUKA, ABB, Yaskawa, FANUC, or Stäubli Experience with industrial automation systems and customer-site commissioning Basic knowledge of PLC programming and electrical commissioning Good knowledge of Python A basic understanding of software architecture and modern development practices Ideally, a qualification as a certified electrical specialist / qualified electrician or a comparable qualification A hands-on, solution-oriented mindset and openness to modern development and AI assisted tools What else is important German language skills at B2 level or above English language skills at B2 level or above Willingness to regularly work on-site at customer locations and support commissioning activities Enjoyment of working across different teams, including Software Development, Robotics, Product, and Customer Projects Your Profile Is Particularly Interesting to Us If … You have worked with several different robot manufacturers You have supported complete automation systems from planning through to commissioning You are equally interested in traditional automation and software development You have experience with industrial communication systems and interfaces You enjoy working directly with customers, software developers, and automation specialists You want to do more than just experiment with new technologies and are motivated to bring them into real production environments Why This Role? This role combines two areas that are increasingly converging in industrial automation: robotics and software development. You will work with real industrial robots and automation systems while also developing NOVA-based solutions for concrete customer applications. This gives you the opportunity to bring the perspective of an industrial user directly into our software and product development. In doing so, you will help us ensure that NOVA is not only technologically powerful, but also consistently aligned with the needs of real-world industrial automation projects. Why us? Make an impact! Work on an innovative, deep tech product that adds value to the robotics world and to society! Become a crucial part of something new, big and exciting where you can truly make an impact! Our teams inspire! Cross-functional communication is key. You'll get to know many of your 100+ colleagues. Collaborate with great people on our international teams who value knowledge sharing and unique ways of doing things! Be authentic! Work in a value-driven environment where everything may not be perfect, but we're working on it! Your feedback is required while you receive feedback and appreciation for your work! Help others! You can have up to 3 days of volunteer time off to help your favorite charity. Develop yourself! We offer training and mental health opportunities so that you can develop both mentally and professionally. And there is even more! Enjoy our free lunch, snacks and drinks, team events, 30 days of annual vacation + additional rest during Christmas season until New Year. If your child gets sick, we assure that a 100% of your usual earnings will be paid while you take care of your little one. Find more English Speaking Jobs in Germany on Arbeitnow

About Refractal Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. 2026 has shown that generally capable intelligence is here. The challenge now is modernising security to stop AI-enabled threats, whether they come from internal agents going rogue or from attackers using AI to become more dangerous. Refractal was founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy. Our product lets organisations detect AI-enabled threats at low cost without sacrificing detection quality. We take a practical approach to AI risk, combining proven cybersecurity methods with frontier AI security research. Today, we work with governments and organisations that can't afford to get security wrong. We're backed by leading deep-tech and cybersecurity investors and are growing the team to deliver on this mission. The role As a Senior Forward Deployed Engineer, you'll lead Refractal deployments at UK and European banks, insurers and enterprises. You'll work inside customers' security, risk and AI teams to get Refractal running in their environments, and feed what you learn back into the product. What you'll do Lead technical deployments from first integration to production, with clear plans, owners and success criteria. Integrate Refractal with customers' AI agents, copilots, models and security tooling. Translate customer policies and regulatory requirements into enforceable controls. Help managed security service providers deploy Refractal for their own clients. Build connectors and reference implementations, and ship fixes into the core product. Success in your first six months You've taken customer deployments into production that customers rely on day to day. Recurring deployment work has become reusable connectors, scripts and documentation. Product and engineering decisions reflect what you've learned in the field. About you: essential 6+ years in software engineering, including 2+ in customer-facing roles such as forward deployed, solutions or technical consulting. Strong Python, and confidence across APIs, cloud and identity. Hands-on experience building with LLMs and AI agents. Calm, clear communication with CISOs, risk leaders and engineers. Willingness to travel to customer sites across the UK and Europe. Nice to have Experience in financial services or other regulated industries. A background in security engineering or at a security product company. Our values Radical transparency. We believe the best work happens when everyone feels able to give and receive honest, constructive feedback. Public service. We see AI security as a form of public service. Getting the AI transition right means putting the right infrastructure in place to manage the threats that come with it, and our work helps protect the institutions and services society depends on. Fail fast. We test ideas early, seek feedback and learn quickly. We experiment rapidly and change course when something isn't working, without compromising on security. Pragmatism, not dogmatism. We choose approaches based on how well they solve the problem. That means combining established cybersecurity methods with frontier AI research, questioning our assumptions, and changing our minds when the evidence changes. Compensation and benefits Salary: £100,000–£165,000 Competitive equity to share in Refractal's growth Pension contribution Private medical and dental cover Visa and relocation support Compensation: £100K – £165K • Offers Equity • £100K – £165K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Refractal Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. 2026 has shown that generally capable intelligence is here. The challenge now is modernising security to stop AI-enabled threats, whether they come from internal agents going rogue or from attackers using AI to become more dangerous. Refractal was founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy. Our product lets organisations detect AI-enabled threats at low cost without sacrificing detection quality. We take a practical approach to AI risk, combining proven cybersecurity methods with frontier AI security research. Today, we work with governments and organisations that can't afford to get security wrong. We're backed by leading deep-tech and cybersecurity investors and are growing the team to deliver on this mission. The role You'll connect Refractal to the security systems our customers already use, building the integrations and data pipelines that make their security data usable. You'll work closely with our security engineers and with customers to understand their environments and turn their requirements into reliable software. What you'll do Build and maintain integrations with security and observability tools, including platforms such as Splunk. Develop pipelines to ingest, validate and transform security data, accounting for inconsistent formats, incomplete records and changing source systems. Design clear interfaces between integrations and the wider product, working with platform engineers to keep responsibilities well defined. Make integrations reliable in production through testing, monitoring, useful error messages and safe handling of credentials and sensitive data. Investigate customer integration issues and turn recurring problems into product improvements, documentation and reusable implementation patterns. Success in your first six months You've shipped and supported priority integrations that customers can use with clear setup guidance. The data flows you own handle common failures predictably and make problems straightforward to diagnose. You've established reusable patterns that make the next integration easier to build and maintain. About you: essential Experience building and maintaining software, with a clear approach to testing, debugging and code review. Familiarity with data engineering concepts, including ingestion, transformation, data quality and pipeline reliability. Experience working with APIs and external systems, including authentication, pagination, rate limits and error handling. Ability to investigate unfamiliar systems and turn incomplete requirements into a practical implementation. Clear communication and a willingness to own work through deployment and ongoing support. Nice to have Experience integrating with Splunk or other SIEM and observability platforms. Familiarity with security telemetry, event schemas or detection workflows. Experience with high-volume data processing or customer-facing integration projects. Our values Radical transparency. We believe the best work happens when everyone feels able to give and receive honest, constructive feedback. Public service. We see AI security as a form of public service. Getting the AI transition right means putting the right infrastructure in place to manage the threats that come with it, and our work helps protect the institutions and services society depends on. Fail fast. We test ideas early, seek feedback and learn quickly. We experiment rapidly and change course when something isn't working, without compromising on security. Pragmatism, not dogmatism. We choose approaches based on how well they solve the problem. That means combining established cybersecurity methods with frontier AI research, questioning our assumptions, and changing our minds when the evidence changes. Compensation and benefits Salary: £60,000–£115,000 Competitive equity to share in Refractal's growth Pension contribution Private medical and dental cover Visa and relocation support Compensation: £60K – £115K • Offers Equity • £60K – £115K • Offers Equity Find Jobs in United Kingdom on Arbeitnow

About Refractal Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. 2026 has shown that generally capable intelligence is here. The challenge now is modernising security to stop AI-enabled threats, whether they come from internal agents going rogue or from attackers using AI to become more dangerous. Refractal was founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy. Our product lets organisations detect AI-enabled threats at low cost without sacrificing detection quality. We take a practical approach to AI risk, combining proven cybersecurity methods with frontier AI security research. Today, we work with governments and organisations that can't afford to get security wrong. We're backed by leading deep-tech and cybersecurity investors and are growing the team to deliver on this mission. The role You'll bring hands-on detection and response experience into Refractal's product. Working with our software and research engineers, you'll draw on your experience writing detection rules, using SIEMs and investigating threats to shape what we build. What you'll do Translate detection and investigation workflows into product requirements, helping engineers understand what security teams need and why. Use your experience with detection rules and SIEMs such as Splunk and Datadog to guide product design and integration priorities. Build realistic examples and test cases that capture attacker behaviour, benign activity and common sources of false positives. Evaluate product outputs for detection quality, useful context and the effort required for an analyst to reach a decision. Work with customers and colleagues to identify gaps, prioritise improvements and check that changes address practical security needs. Success in your first six months You've translated important detection and response needs into clear product requirements and helped deliver improvements. You've built representative test cases that help the team assess detection quality and investigation usefulness. You've established a feedback loop that brings practitioner experience into engineering and research decisions. About you: essential Hands-on experience writing and tuning detection rules, with examples of how you assessed whether they worked. Practical experience using SIEM platforms, including Splunk or Datadog, to query security data and investigate activity. Experience in detection and response, with a clear understanding of analyst workflows, false positives and gaps in security telemetry. The ability to explain security problems to software engineers and translate your experience into requirements and test cases. An interest in building products and a willingness to challenge assumptions using evidence from practical security work. Nice to have Experience contributing to a security product or working closely with software and research engineers. Scripting skills for preparing data, prototyping ideas or creating repeatable security tests. An interest in how AI changes attacker behaviour and the security of autonomous agents. Our values Radical transparency. We believe the best work happens when everyone feels able to give and receive honest, constructive feedback. Public service. We see AI security as a form of public service. Getting the AI transition right means putting the right infrastructure in place to manage the threats that come with it, and our work helps protect the institutions and services society depends on. Fail fast. We test ideas early, seek feedback and learn quickly. We experiment rapidly and change course when something isn't working, without compromising on security. Pragmatism, not dogmatism. We choose approaches based on how well they solve the problem. That means combining established cybersecurity methods with frontier AI research, questioning our assumptions, and changing our minds when the evidence changes. Compensation and benefits Salary: £60,000–£115,000 Competitive equity to share in Refractal's growth Pension contribution Private medical and dental cover Visa and relocation support Compensation: £60K – £115K • Offers Equity • £60K – £115K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

Projektbeschreibung: Technologie begeistert Sie? Uns auch! Zur Verstärkung unseres Expertenteams bei unserem Kunden aus der Funk- und Kommunikationsbranche suchen wir einen Communication Protocols Software Engineer (m/w/x) in Festanstellung bei K-tronik. Wir freuen uns darauf, Sie persönlich kennen zu lernen - und gemeinsam mit Leidenschaft und Teamgeist an spannenden Projekten und zukunftsweisenden Technologien zu arbeiten. Aufgaben: Du designst Kommunikationsprotokolle der ISO/OSI-Schichten 2 und 3 für moderne Secure-Communications-Systeme Du implementierst, integrierst und testest die entwickelten Protokolle in realen Systemumgebungen Du arbeitest in Kompetenz- und crossfunktionalen Teams an der Produktentwicklung moderner Kommunikationsverfahren mit und bringst deine Expertise in internationale Kooperations- und Konsortiumprojekte ein Du setzt Software-Engineering-Methoden und moderne Entwicklungsansätze wie agile Prozesse und kontinuierliche Integration konsequent ein Du analysierst komplexe Anforderungen und bewertest technische Lösungskonzepte für sicherheitskritische Kommunikationssysteme Du treibst die Weiterentwicklung von Protokollarchitekturen für verschlüsselte Datenübertragung voran Qualifikationen: Du hast ein abgeschlossenes Studium der Informatik oder Informationstechnik oder eine vergleichbare Qualifikation Du bringst Erfahrung in der Softwareentwicklung von Protokollen mit, idealerweise im Bereich der ISO/OSI-Schichten 2 und 3 Du beherrschst C++ und Python oder eine vergleichbare Sprache Du bist vertraut mit modernen Software-Engineering-Werkzeugen in den Bereichen Implementierung, Integration und Test Du überzeugst durch eine strukturierte Arbeitsweise, ausgeprägte Problemlösungsfähigkeit und kritisches Denken. Teamgeist, Kommunikationsstärke und eine hohe Lernbereitschaft sind für dich selbstverständlich Gute Deutsch- und Englischkenntnisse in Wort und Schrift runden dein Profil ab Benefits: Kollegiales und freundschaftliches Arbeitsklima Flexible Arbeitszeiten 30 Urlaubstage und flexible Urlaubsplanung Regelmäßige Team-Events Auszeichnung als Kununu TOP Company Corporate Benefits (Mitarbeiterangebote) Kostenlose Getränke Individuelle Weiterbildungsmöglichkeiten 360° Betreuung: Feedbackgespräche, Karriereplanung, Unterstützung bei Umzug, etc. Find more English Speaking Jobs in Germany on Arbeitnow

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors. Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success. About the Role As a Senior Data Engineer on our Maritime Models team, you will take technical ownership of the core data pipelines and distributed storage architectures powering Kpler's vessel tracking and predictive analytics. You will design, scale, and optimize high-throughput batch and streaming pipelines that ingest raw maritime telemetry and transform it into actionable intelligence. Working with distributed NoSQL systems like Apache HBase at scale, your work directly ensures the freshness, accuracy, and reliability of the data models our global customers depend on. Key Responsibilities Architect, build, and operate high-throughput batch and streaming data pipelines using Java, Python, Apache Kafka, Apache Flink, and Airflow. Design, tune, and maintain scalable distributed NoSQL databases, prioritizing Apache HBase performance for high-volume time-series maritime telemetry. Drive end-to-end operational excellence across containerized cloud environments on AWS using Kubernetes, Docker, Terraform, and GitOps workflows. Define and enforce system reliability metrics, monitoring pipeline latency, data completeness, and uptime to meet strict operational SLAs. Partner with Data Scientists, Product Managers, and SRE teams to translate complex maritime modeling requirements into robust, production-grade infrastructure. Mentor peer engineers, drive code review standards, and leverage modern AI development tools (Copilot, Cursor, Claude) to elevate team productivity. Experience & Background What you'll need (Must-haves) 5+ years of professional experience as a Data Engineer designing, scaling, and maintaining production-grade data pipelines. Deep, hands-on expertise in distributed NoSQL data stores, specifically Apache HBase, for high-volume time-series storage and query optimization. Strong proficiency in software engineering using Java and Python. Demonstrated experience with stream processing and orchestration tools such as Apache Kafka, Apache Flink, and Apache Airflow. Solid background operating containerized services on AWS cloud environments using Docker, Kubernetes, and Terraform. Nice-to-haves Experience with relational databases such as PostgreSQL. Experience working with geospatial data technologies (e.g., GeoServer) or spatial indexing algorithms. Exposure to AI-assisted software development tools like Copilot, Cursor, or Claude Code. Domain familiarity with maritime tracking, AIS telemetry, or supply chain logistics. We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you've found your ideal destination. Are you ready to embark on this exciting journey with us? We make things happen We act decisively and with purpose, going the extra mile. We build together We foster relationships and develop creative solutions to address market challenges. We are here to help We are accessible and supportive to colleagues and clients with a friendly approach. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice Find Jobs in Germany on Arbeitnow

Description: Looking for an employer you can count on? Join us! Senior AI Platform & Research Infrastructure Engineer (m/f/d) Your Role and Responsibilities: Design, develop, and operate a federated AI platform and model management environment for universities and research institutions. Develop web applications, APIs, backend services, and platform components for AI model lifecycle management. Build and integrate AI middleware, model registries, API gateways, authentication services, and multi-tenant platform capabilities. Implement governance, approval, deployment, monitoring, and automation workflows for AI services and models. Develop and operate Kubernetes-based cloud-native infrastructure, including CI/CD, monitoring, logging, and automation. Collaborate with research partners, platform operators, and stakeholders in a national research infrastructure environment. Your Qualifications: Required/Minimum Qualifications Master's degree (or equivalent) in Computer Science, Software Engineering, Artificial Intelligence, or a related field. Other Requirements Professional experience in software engineering and distributed systems. Strong programming skills in Python, Go, or similar technologies. Experience with APIs, databases, cloud-native technologies, containers, and Kubernetes. Knowledge of authentication, authorization, identity management, and DevOps practices. Strong analytical, communication, and collaboration skills. Professional proficiency in English. Additional or Preferred Qualifications: Experience with AI platforms, LLMs, machine learning infrastructure, or model serving. Knowledge of multi-tenant platforms, API gateways, federated IAM, and OpenAI-compatible APIs. Experience with CI/CD, infrastructure automation, and platform operations. Familiarity with metadata standards, FAIR principles, or research infrastructures. Experience in higher education, research, public-sector, or open-source environments. Conditions: Working time full time (40 hrs) flexible working model with electronic time recording Contract duration 30.09.2029, a further employment is intended Remuneration up to E 13, see Entgelttabelle TV-L Annual leave / compensatory time off 30 days (24.12. + 31.12. additionally day off) Overtime is compensated by additional time off Benefits Up to 60% mobile work for suitable tasks, mostly two-person offices, bus and subway (U6) on the doorstep, free parking, pension plan of the Versorgungsanstalt des Bundes und der Länder (VBL), state-of-the-art work equipment, Cooperation Agreement with Sports Facility Providers for Discounted Membership What you can expect at LRZ: Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes for an optimal work-life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share experiences, constantly review and improve our processes, and are proud that our service-quality and data-security are regularly certified and rated highly. We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified (SGB IX). Further information: We are looking forward to receiving your complete application documents (including cover letter, CV and certificates) in a PDF file (other file types are not accepted) by latest 23.10.2026. Subject: AI-Platform Research Infrastructure -Eng (2026/51) Are you unsure whether the job suits you or you suit us? Or do you still have questions about this position? Our colleagues will be happy to answer all your questions. This job does not fit? Then take a look at https://www.lrz.de/en/careers/current-vacancies or send us an unsolicited application! Here you will find information about the collection of personal data during the application process. Find Jobs in Germany on Arbeitnow

Your mission At Wandelbots, we want to make programming robotic manipulation faster and easier, whether the robot is an industrial arm on a production line or a humanoid working at a bench. For that we are looking for your help in building crucial parts of our platform. You will be part of a team working on the core of our product – namely in the control of robotic motion. We are looking for another expert in the field of robot trajectory planning and real-time execution: Help us to setup an advanced high real-time feedback control system. Enable others to execute policy-based motions and VLAs on top of this. Plan collision free, synchronous, optimized trajectories for multiple robots. The team is working in the complex ecosystem of NOVA, providing a central and widely used set of puzzle pieces. Because of that, bringing flexibility and willingness to learn are highly appreciated as well as cross team communication and work. Your profile You have several years of professional experience as a software engineer in the field of motion control. You have experience in analytic-model based or neural network based, high real-time closed loop control systems. You have experience in sampling-based, graph-based or optimization-based path planning. You are familiar with modern C++ and python and eager to learn software development processes. You have basic knowledge with serial or parallel manipulators. You have basic knowledge in multi-robot simulation and understand the basic physics behind it. You love challenges, solve problems, work in a self-initiated way, happy to share knowledge, and are reliable. You are a team player, open, communicative, passionate, and ambitious. You are fluent in English, both written and spoken, and you have at least started learning German. Awesome if you have: Experience in sensor fusion based state estimation. You understand how to develop scalable high-quality software. You have experience with dockerized systems and Kubernetes. You can easily define a CI/CD pipeline, including packaging software for Conan or UV/Pip, that also runs test cases (gtest, pytest). You have knowledge in the field of VLAs or policy-based motion. Why us? Make an impact! Work on an innovative, deep tech product that adds value to the robotics world and to society! Become a crucial part of something new, big and exciting where you can truly make an impact! Our teams inspire! Cross-functional communication is key. You'll get to know many of your 100+ colleagues. Collaborate with great people on our international teams who value knowledge sharing and unique ways of doing things! Be authentic! Work in a value-driven environment where everything may not be perfect, but we're working on it! Your feedback is required while you receive feedback and appreciation for your work! Help others! You can have up to 3 days of volunteer time off to help your favorite charity. Develop yourself! We offer training and mental health opportunities so that you can develop both mentally and professionally. And there is even more! Enjoy our free lunch, snacks and drinks, team events, 30 days of annual vacation + additional rest during Christmas season until New Year. If your child gets sick, we assure that a 100% of your usual earnings will be paid while you take care of your little one. Find Jobs in Germany on Arbeitnow

Your mission At Wandelbots, we are building NOVA, a platform that makes industrial robot programming accessible to everyone. Our Simulation team develops the technologies that allow partners, customers, and internal teams to work with photorealistic digital twins of real production environments. This includes a pipeline that transforms real-world scans into usable 3D scenes through Gaussian Splatting, as well as a browser-based streaming platform built on NVIDIA Omniverse and Isaac Sim. Both technologies work today, but neither is yet operated as a product. Your mission is to change that. The first step is internal standardization. We want to replace individually maintained environments and hand-crafted deployments with one reproducible, documented solution that teams can use independently: scene in, session out, without requiring the Simulation team to operate every setup. The second step is external productization. The same capabilities need to be packaged so that partners and customers can operate them in their own environments. E.g. with versioned releases, stable interfaces, tenant isolation, diagnostics, upgrade paths, and documentation. You will join the Simulation team and focus on the infrastructure and operational foundations of these systems. You will not be building them in isolation: Wandelbots has an established infrastructure team responsible for shared infrastructure and platform capabilities. You will work closely with that team while owning the simulation-specific workloads, deployment patterns, and operational requirements. This is a hands-on engineering role with room to shape architecture and make technical decisions in collaboration with the teams involved. What you will work on Build and operate the GPU infrastructure required by our simulation workloads, including NVIDIA GPU Operator, device plugins, driver lifecycle, and GPU sharing through MIG or time slicing Work with the infrastructure team to integrate simulation workloads into our shared Kubernetes and cloud infrastructure Make deployments declarative and reproducible using Infrastructure as Code and GitOps, and help consolidate the tooling used across today's environments Own CI/CD and the container and image lifecycle for CUDA - and NGC -based workloads Design scheduling and autoscaling for two distinct workload profiles: latency-sensitive interactive streaming sessions and compute-intensive Gaussian Splatting jobs Turn the Gaussian Splatting pipeline into a reproducible workflow, from data capture and training to OpenUSD assets Operate and extend our Omniverse and Isaac Sim streaming platform, including Kit App Streaming, session lifecycle, and tenant isolation Establish the platform as an internal standard through self-service workflows, golden paths, templates, onboarding, and documentation Prepare the solution for operation by partners and customers through packaged deployments, versioned releases, upgrade paths, and actionable diagnostics Support deployments across cloud, on-premises, and partner-managed environments Build meaningful observability using metrics, logs, GPU telemetry, and actionable alerting Define the simulation-specific security and access model, including ingress, TURN and STUN for WebRTC, RBAC , secrets management, SSO , and tenant boundaries Work closely with our robotics, product, and platform teams to ensure that the solution supports real development and customer workflows Your profile We are looking for an engineer who is interested in how complex systems are built, deployed, and operated, not only in delivering the next application feature. You should bring: Experience building or operating production systems in platform engineering, infrastructure, SRE, DevOps, or systems software Practical Kubernetes experience, including resource management, workload scheduling, and debugging distributed systems under load Experience with Infrastructure as Code, GitOps, and CI/CD, together with the ability to evaluate tools based on the problem rather than a fixed preference Solid knowledge of Linux, containers, and networking Good Python skills for automation, services, and data-processing workflows Experience with GPU workloads, or a strong technical foundation and clear interest in working with drivers, CUDA , and GPU scheduling The ability to turn working technology into a system that other teams can use independently A strong sense of operational ownership, including documentation, diagnostics, maintainability, and reproducibility Very good English; German is a plus We do not expect candidates to have prior experience with every technology in this description. A strong systems foundation, the ability to learn unfamiliar components, and an interest in this problem space are more important than matching every item. The scope and responsibilities of the role will grow with your experience. Nice to have Experience turning an internally developed system into a product that can be operated in customer-controlled environments Hands-on experience with NVIDIA Omniverse, Isaac Sim, Kit SDK, or OpenUSD Experience with Gaussian Splatting, NeRF , photogrammetry, or comparable 3D reconstruction pipelines Knowledge of WebRTC, pixel streaming, or other low-latency video technologies Python, Rust, or Go skills sufficient to contribute to existing services and infrastructure tooling Experience with robotics or simulation, such as ROS 2 or sim-to-real workflows Experience with multi-tenant platforms, air-gapped deployments, or customer environments with specific security and compliance requirements Why us? Make an impact! Work on an innovative, deep tech product that adds value to the robotics world and to society! Become a crucial part of something new, big and exciting where you can truly make an impact! Our teams inspire! Cross-functional communication is key. You'll get to know many of your 100+ colleagues. Collaborate with great people on our international teams who value knowledge sharing and unique ways of doing things! Be authentic! Work in a value-driven environment where everything may not be perfect, but we're working on it! Your feedback is required while you receive feedback and appreciation for your work! Help others! You can have up to 3 days of volunteer time off to help your favorite charity. Develop yourself! We offer training and mental health opportunities so that you can develop both mentally and professionally. And there is even more! Enjoy our free lunch, snacks and drinks, team events, 30 days of annual vacation + additional rest during Christmas season until New Year. If your child gets sick, we assure that a 100% of your usual earnings will be paid while you take care of your little one. Find more English Speaking Jobs in Germany on Arbeitnow

Description Legartis is a leading Legal AI company transforming how organizations manage and work on their contracts. As we scale across DACH and into new European markets, we want the way we work internally to scale with us, without adding headcount for every manual process. We are looking for an AI Automation Engineer with a solid software engineering background who finds the repetitive work across our teams and automates it: with code, with AI, and with systems that keep running long after the demo. Your mission Identify manual, repetitive workflows across Sales, Customer Success, Finance and Operations, and replace them with reliable automation. Design, build and operate internal tools, integrations and AI agents in Python: version controlled, tested, monitored and deployed through CI/CD. Integrate our internal systems (e.g. HubSpot, Younium, Google Workspace, Slack, Linear and our own product platform) via REST APIs, webhooks and event driven pipelines on our Kafka based platform. Build LLM powered workflows and agents, e.g. on AWS Bedrock, for tasks such as data enrichment, document handling, triage and reporting. Host and run what you build: deployment, monitoring, updates, backups and security patches. You build it, you run it. Own the internal tool stack and its integrations end to end, and keep it documented so others can rely on it. Your profile 3 or more years of professional software engineering experience, ideally in Python (TypeScript is fine too). You code with AI every day: you use AI coding tools such as Claude Code or Cursor to ship faster, and you have the engineering judgement to review, test and own what they produce. A solid understanding of systems: APIs, webhooks, databases and how data flows between tools. Experience hosting and operating services: Docker, Linux, CI/CD and at least one cloud, ideally AWS. Comfortable with SQL and data modelling. Understanding of event driven architectures and messaging systems such as Kafka is a plus. Experience building with LLM APIs or agent frameworks is a plus. A structured, ownership driven way of working, comfortable in a fast moving scale up where not everything is documented yet. Fluent English, German is a plus. Why us? Legartis exists to unlock legal work at scale. Work in a Legal AI scale up with a flat hierarchy and a team that takes the work seriously without taking itself too seriously. Real ownership from day one. Competitive compensation package including participation in our Employee Stock Option Plan. Hybrid work environment with at least two days / week in our Leipzig office. Regular team events in Germany and Switzerland. Build with the newest AI tooling every day, and shape how a fast-growing AI company runs internally. Your first 90 days In your first month you map our internal workflows and tool stack and ship your first automation to production. By day 60 you have taken over hosting and operation of our existing internal tools and integrations. By day 90 you have delivered a prioritised automation roadmap and at least three automations that save the team measurable time every week. Process Send us your CV, a short note on why this role fits you is welcome. If we think that this could be a fit, we invite you to the application process: Conversation with the hiring manager to get to know each other Conversation with the line manager to understand the role better, including a technical deep dive on your engineering, automation and hosting experience. A practical engineering exercise based on a real Legartis scenario, so that you know what to expect from the job and that we understand how you work. A "meet the team" round to meet whom you would be working with. If there is a mutual fit, we welcome you to the team. Find Jobs in Germany on Arbeitnow

Description Legartis is a leading Legal AI company transforming how organizations manage and work on their contracts. As we scale across DACH and into new European markets, our go to market engine needs an operational backbone that keeps pace with it. We are looking for a software engineer with RevOps tooling experience to own HubSpot and the integrations around it end to end, and to build our GTM stack into a reliable, well-engineered system that Sales, Marketing and Customer Success build on every day. Your mission Own HubSpot as our core GTM system: architecture, workflows, automations, custom properties and integrations across the wider tool stack, including Younium for subscription and billing data. Design, build and operate the integrations and data pipelines between HubSpot, Younium and our product platform as production software: written in Python, version controlled, tested, monitored and deployed through CI/CD. Build event driven integrations on our Kafka based platform, so that product, usage and billing events flow reliably into the GTM stack. Design and enforce a clean data foundation, with consistent lifecycle stages, lead status, deal stages, attribution logic and territory and tier structures that hold up as the team grows. Build and maintain the reporting and dashboards that give Sales, Marketing and leadership real time visibility into pipeline, forecast and rep level performance. Partner closely with Sales leadership on the metrics that matter and own the infrastructure that surfaces them reliably. Act as the connective tissue between Sales, Marketing and Customer Success, keeping funnel definitions and handoffs consistent end to end. Support forecasting, pipeline reviews and deal desk style workflows, including approvals and pricing exceptions, alongside Sales leadership. Translate commercial priorities into system level changes: lead routing and scoring, territory design, comp structure alignment. Your profile 3 or more years as a software engineer, including hands on work with Revenue Operations, Sales Operations or Marketing Operations tooling, ideally in B2B SaaS. Strong software engineering fundamentals, ideally in Python: clean, tested and maintainable code, version control, code review and CI/CD. You code with AI every day: you use AI coding tools such as Claude Code or Cursor to ship faster, and you have the engineering judgement to review, test and own what they produce. A solid understanding of B2B sales processes and the tools around them: pipeline stages, lead routing, forecasting, quoting and billing. A track record of integrating a CRM with other business tools (e.g. billing, marketing, support) via REST APIs and webhooks, writing the integration code yourself rather than relying on no code tools. Understanding of event driven architectures and messaging systems such as Kafka: producers and consumers, idempotency, error handling and retries. Comfortable with SQL and data modelling. Nice to have: experience hosting and operating the services you build, e.g. Docker, Kubernetes, cloud infrastructure such as AWS, and monitoring. Deep hands on HubSpot expertise at admin and API level: workflows, custom properties, reporting, permissions. Experience with Salesforce or another CRM is a plus. A track record of building or cleaning up CRM data foundations at scale, not just running reports on top of someone else's setup. Strong analytical instincts and comfort turning messy data into a dashboard people actually use. Experience working cross functionally with Sales, Marketing and Customer Success, and the confidence to push back when something does not add up. A structured, ownership driven way of working, comfortable in a fast moving scale up where not everything is documented yet. Fluent English, German is a plus given our DACH customer base. Why us? Legartis exists to unlock legal work at scale. Work in a Legal AI scale up with a flat hierarchy and a team that takes the work seriously without taking itself too seriously. Real ownership from day one. Competitive compensation package including participation in our Employee Stock Option Plan. Hybrid work environment with at least two days / week in our Leipzig office. Regular team events in Germany and Switzerland. The chance to shape how a fast-growing GTM organization actually runs, not just report on it after the fact. Your first 90 days In your first month you audit the current HubSpot instance and ship the first version of our data foundation cleanup: lifecycle stages, lead status, attribution. By day 60 you deliver the first rep level pipeline dashboard for Sales leadership. By day 90 you have proposed a roadmap for lead routing, scoring and the next phase of GTM tooling integration. Process Send us your CV, a short note on why this role fits you is welcome. If we think that this could be a fit, we invite you to the application process: Conversation with the hiring manager to get to know each other Conversation with the line manager to understand the role better, including a technical deep dive on your engineering, integration and HubSpot experience. A practical engineering exercise based on a real Legartis scenario, so that you know what to expect from the job and that we understand how you work. A "meet the team" round to meet whom you would be working with. If there is a mutual fit, we welcome you to the team. Find Jobs in Germany on Arbeitnow

Our vision - your future Cofinity-X is a joint venture founded in 2023 by BASF, BMW Group, Henkel, Mercedes-Benz, SAP, Schaeffler, Siemens, T-Systems, Volkswagen, and ZF. Established by industry experts, our company is primed for growth and is intended to be further led by professionals like yourself. Your mission Design, develop, and maintain core backend services, with a focus on digital identity and wallet-related components Implement and operate secure, standards-compliant wallet functionality (e.g. credential issuance, verification, and storage) within our platform Ensure the reliability, scalability, and security of core services that other product components depend on Collaborate with architects and product teams to translate technical and regulatory requirements (e.g. self-sovereign identity, decentralized identifiers, verifiable credentials) into robust implementations Contribute to API design and integration patterns for wallet and identity-related services Participate in code reviews, technical design discussions, and continuous improvement of engineering practices Monitor, troubleshoot, and resolve issues in core services, ensuring high availability and data integrity Stay current with relevant standards and specifications (e.g. Gaia-X, Catena-X, W3C DID/VC) and help shape their implementation through participation in working groups, expert groups and committees as required. Your profile Several years of experience as a backend or software engineer in an agile development environment Hands-on experience with identity and credential technologies such as SSI, DIDs, verifiable credentials, or digital wallets is a strong plus Strong programming skills in (preferably) Java, or C# .NET Solid understanding of cryptography fundamentals, secure API design, and data protection principles Experience with cloud-native architectures, containerization (Docker/Kubernetes), and CI/CD pipelines Familiarity with relevant standards bodies and specifications (e.g. Gaia-X, Catena-X) is beneficial Analytical and structured working style with strong problem-solving skills and a collaborative, team-oriented mindset Why us? Hybrid working model Work-life balance with flexible working hours Annual training budget for continuous professional and personal development (1.500 EUR) Free choice of hardware Monthly lunch subsidy (up to 115 EUR) Deutschland Ticket and Job Bike for environmentally friendly mobility options Workation to work remotely from different locations within the EU We offer every employee a pensions scheme ( bAV ) with company sponsorship Regular team events to strengthen cohesion and foster a positive working atmosphere A modern office with an impressive view of the Cologne Cathedral Find Jobs in Germany on Arbeitnow