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At Stark, we forge the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision. As a premier defence technology company, our mission is clear: to equip NATO Allies and their partners with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world's most demanding environments. We believe that true security stems from relentless innovation. By combining elite engineering talent with agile technology and an AI-native operational culture, Stark turns complex defence challenges into field-tested, multi-domain solutions. Why Join Us? The software and systems you work on directly protect personnel and defend European and national sovereignty. You will work alongside industry-leading minds on autonomous systems, advanced propulsion, and secure cyber platforms. We foster a fast-paced, collaborative environment where bold ideas are supported by serious R&D backing. About the Team You will join our hardware engineering team, working closely with engineers across propulsion, power systems, testing, and aircraft development to turn measured data into better-performing unmanned systems. Your Mission Your mission is to work hands-on with the parts of the aircraft that turn stored energy into flight: the motors, the batteries, and the propulsion and power components that decide how far, how fast, and how long our platforms fly. You support the hardware team from bench characterisation through data analysis in MATLAB and Python. Responsibilities Support characterisation and bench testing of motors, propellers, batteries, and power components for our UAS platforms. Help set up test rigs and instrumentation, and capture clean, repeatable measurement data. Assist with component selection and trade-offs by turning test data into clear comparisons. Reduce and analyse test data in MATLAB and Python — efficiency, thrust, endurance, thermal and discharge behaviour. Visualise results so the engineering team can make decisions from them quickly. Keep test setups, measurements, and findings documented and traceable. Required Skills Currently enrolled in a Bachelor's or Master's in Electrical, Mechanical, Aerospace, or a comparable engineering field. Working knowledge of MATLAB and Python for data analysis. Interest in and some exposure to UAS, electric propulsion (motors / ESCs), or battery / power systems. Must be a citizen of a NATO member state (due to export control and security regulations). Practical, hands-on mindset — comfortable at the bench and with a multimeter as much as in a script. Good written and verbal communication skills in English; German is a plus. Hands-on: You like building, measuring, and finding out what really happens. Rigorous: You trust clean measurements over assumptions. Curious: You want to understand why a component behaves the way it does. Nice-To-Have Experience with test benches, DAQ, or measurement instrumentation. Familiarity with battery testing, thermal behaviour, or motor/propeller characterisation. Personal projects with drones, RC aircraft, batteries, or robotics. Equal Opportunity: At Stark Defence, we are committed to building a diverse, inclusive, and high-performing team. We operate in an industry where women, as well as other minority groups, are systematically under-represented. We actively encourage applications from candidates of all backgrounds and identities. If you are excited about this role, we encourage you to apply even if you don't meet all the listed qualifications—ability and impact cannot be summarised in a few bullet points. We value unique perspectives, adaptability, and a drive to solve high-stakes challenges. Security Clearance: Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process. Find more English Speaking Jobs in Germany on Arbeitnow

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: QA Engineer – Automation Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $115,000–$130,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary: We are seeking an experienced QA Engineer - Automation to design, develop, and maintain robust automated testing frameworks for enterprise web, API, and distributed systems. In this role you will be a key contributor to engineering quality, partnering with development teams to expand test coverage, embed automation into CI/CD pipelines, and accelerate confident software delivery. The ideal candidate will combine strong hands-on experience with modern automation frameworks with a clear understanding of testing strategy, including risk-based testing, exploratory testing, and continuous testing in Agile environments. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical discipline Four or more years of QA automation experience Strong hands-on experience with Selenium, Cypress, or Playwright Hands-on experience automating REST APIs Strong understanding of testing methodologies and the software development lifecycle Experience integrating automation into CI/CD pipelines Solid SQL skills for data validation Experience working in Agile/Scrum environments Strong debugging, problem-solving, and analytical skills Excellent communication and documentation skills Preferred Qualifications Experience with performance testing tools (JMeter, Gatling, k6) Knowledge of containerized test environments using Docker and Kubernetes Experience with cloud-based testing environments such as BrowserStack or Sauce Labs Exposure to behavior-driven development frameworks (Cucumber, SpecFlow) Familiarity with security testing fundamentals (OWASP, basic penetration testing) How To Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR Q5iCPj03yB

The application window is expected to close on: 10/26/2026 ++This is a hybrid position, based out of Milpitas, CA office++ Meet the Team Join the Cisco Catalyst Center team, a dynamic group dedicated to transforming enterprise network management through automation and intelligence. Our team plays a critical role in simplifying complex network operations, enabling organizations to deliver seamless, secure, and scalable digital experiences. We are a collaborative and innovative team, passionate about leveraging cutting-edge technologies to drive network assurance and operational efficiency. With a culture that fosters continuous learning and growth, Network Platform team members work closely across Cisco's broader networking and security portfolios to shape the future of intent-based networking! Your Impact Test Global Management features across Cisco Cloud Control, Meraki Dashboard, and on-prem deployments. Validate next-generation scale scenarios involving multiple organizations and large numbers of managed devices. Develop and execute test plans for Catalyst Center lifecycle management workflows. Test agentic operations involving Cisco Cloud Control dashboards, Catalyst Center, and backend service integrations. Validate API interfaces, service behavior, data flows, and end-to-end workflows. Build and maintain automation for functional, integration, regression, and scale testing. Use AI-assisted tools and techniques across the SDLC to improve test planning, automation development, defect triage, log analysis, and overall engineering productivity. Identify, isolate, document, and track defects through resolution. Collaborate with development teams to improve testability, observability, and release quality. Minimum Qualifications Bachelor's Degree in Computer Science or related area, combined with 5 years of related experience, or Master's Degree in Computer Science or related area, combined with 3 years of related experience, or a PhD with 0 equivalent related work experience. QA/testing experience for cloud, SaaS, enterprise networking, or distributed systems. Experience testing REST APIs, backend services, dashboards, and integrated workflows. Automation experience using Python, Java, Go, or similar languages. Familiarity with AI-assisted SDLC practices, including AI-supported test generation, automation, defect analysis, documentation, and engineering workflows. Experience with Kubernetes, microservices, CI/CD pipelines, and cloud/on-prem deployment models. Preferred Qualifications Experience with Cisco Cloud Control, Cisco Catalyst Center, network management platforms, or enterprise networking domains. Exposure to Quarkus-based services and Go-based backend components. Ability to analyze logs, troubleshoot service behavior, and validate issues across multiple components. Experience with scale, performance, reliability, and resiliency testing. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $155,000.00 to $222,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees* receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees On Sales Plans Earn Performance-based Incentive Pay On Top Of Their Base Salary, Which Is Split Between Quota And Non-quota Components, Subject To The Applicable Cisco Plan. For Quota-based Incentive Pay, Cisco Typically Pays As Follows .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area $155,000.00 - $256,000.00 Non-Metro New York State & Washington State $138,100.00 - $227,900.00 For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

About The Role The role owns the infrastructure that makes machine learning work in production: CI/CD for models, scalable training pipelines, feature stores, and monitoring systems that catch drift before it breaks anything. This is not a generic DevOps role — it sits at the intersection of ML systems and platform engineering. The MLOps engineer enables data scientists and ML engineers to ship models fast without sacrificing reliability. As model complexity grows and GPU costs matter, the work here directly determines how quickly the entire ML organization can iterate and deploy. Key Responsibilities Build and maintain CI/CD pipelines for ML model deployment using tools like Kubeflow, MLflow, Argo Workflows, or GitHub Actions Design and operate training and inference infrastructure on Kubernetes (EKS/GKE), including GPU scheduling, autoscaling, and cost optimization Implement model serving stacks using TorchServe, NVIDIA Triton, vLLM, or KServe with low-latency, high-throughput requirements Establish model monitoring and observability: data drift detection, performance metrics, alerting with tools like Evidently, Grafana, and Prometheus Develop automated data and feature pipelines using Airflow, dbt, or Spark, ensuring reproducibility from raw data to training datasets Manage experiment tracking, model registries, and artifact versioning (MLflow, Weights & Biases) with clear promotion and rollback workflows Write infrastructure-as-code using Terraform and collaborate with data scientists to productionize models without handoffs slowing anyone down What We Are Looking For 3–6 years of experience in MLOps, ML platform engineering, or backend/DevOps engineering with significant ML infrastructure exposure Strong Python skills plus production experience with Kubernetes, Docker, and at least one workflow orchestrator (Airflow, Kubeflow, Dagster) Hands-on experience deploying and serving models in production on AWS, GCP, or Azure, including GPU-based inference workloads Deep understanding of CI/CD principles applied to ML systems: model versioning, canary deployments, shadow traffic, automated rollback Experience with monitoring and observability tooling for ML systems (drift detection, latency/throughput SLOs, cost tracking) BS/MS in Computer Science, Engineering, or equivalent practical experience building large-scale distributed systems Bonus: Experience with LLM inference optimization (quantization, batching, KV-cache tuning), feature stores (Feast, Tecton), or FinOps for GPU cost management

Job Description Summary GE Vernova is embracing cutting-edge technologies to streamline operations, improve customer experiences, and drive growth. As part of this vision, we are building a dedicated team to leverage Generative AI and redefine how we engage with our industry. The ultimate goal of the team is to automate prompting, develop a framework for prompting across use cases to maximize reuse as well as sharing across businesses. We are seeking a highly motivated and talented AI Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs, collaborating with domain experts and end users to develop software solutions that address both internal and external needs. This position offers a great opportunity to work at the intersection of advanced technology and traditional industry, making a tangible impact on our business processes. As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy[1]focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. Job Description Responsibilities: Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts. Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs. Work closely with software developers to integrate LLM solutions into existing or new applications. Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across different business units. Assist in gathering and analyzing user feedback to continually improve prompt effectiveness. Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection. Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base. Requirements: 10+ years of relevant experience and a Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields. Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Ideal Candidate Characteristics: PhD degree in Computer Science, AI, ML, Engineering, Data Science, or related field 3+ years of experience with prompt engineering and familiarity with tools such as OpenAI's GPT models, Hugging Face, etc. 5+ years of experience with Python or other programming languages commonly used in AI/ML development . Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy). Previous experience or internships involving NLP or machine learning projects. Familiarity with version control systems like Git. Understanding of traditional industry operations and challenges. Strong problem-solving skills and attention to detail. Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Ability to work collaboratively in a team environment and adapt to changing project requirements GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $131,700.00 and $219,300.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on September 01, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title Applied AI Engineer Location: 100% Remote (Continental United States) Position Type: Full-time, Direct W2 Salary Range: $130,000–$180,000 Annually (based on experience) Experience Required: 10+ Years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary Bright Vision Technologies is seeking a highly experienced Applied AI Engineer with 10+ years of experience in Artificial Intelligence, Machine Learning, and Deep Learning to design, develop, and deploy enterprise-scale AI solutions. The ideal candidate will possess deep expertise in Python, PyTorch or JAX, Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, and MLOps , with a proven track record of taking AI models from research to production. This role requires strong technical leadership, hands-on development, and the ability to architect scalable, secure, and high-performance AI systems. Key Responsibilities Design, develop, and deploy production-grade AI and machine learning solutions that address complex business challenges Architect scalable training, inference, and MLOps pipelines for enterprise AI applications Develop, fine-tune, evaluate, and optimize Large Language Models (LLMs), deep learning models, and multimodal AI systems Build AI applications leveraging Retrieval-Augmented Generation (RAG), vector databases, embeddings, prompt engineering, and agentic AI frameworks Design and implement machine learning pipelines for NLP, Computer Vision, recommendation systems, and predictive analytics Optimize model performance, latency, scalability, and infrastructure utilization across cloud and distributed computing environments Collaborate with data scientists, software engineers, product managers, and business stakeholders to deliver production-ready AI solutions Establish best practices for model evaluation, Responsible AI, governance, security, monitoring, and lifecycle management Mentor junior AI engineers and contribute to technical leadership, architecture reviews, and engineering best practices Evaluate emerging AI technologies, foundation models, and frameworks to drive continuous innovation Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical discipline 10+ years of professional experience in Artificial Intelligence, Machine Learning, Deep Learning, or Applied AI Expert-level programming skills in Python with extensive experience using PyTorch, JAX, or TensorFlow Proven experience developing and deploying Large Language Models (LLMs), NLP, Computer Vision, and deep learning applications in production Strong knowledge of distributed training, GPU optimization, model serving, and production ML deployment Hands-on experience with MLOps, CI/CD pipelines, model monitoring, feature engineering, and automated ML workflows Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) for AI workloads Strong understanding of machine learning algorithms, statistics, model evaluation, experimentation, and optimization techniques Excellent problem-solving, communication, collaboration, and technical leadership skills Preferred Qualifications Experience with LLM fine-tuning, Retrieval-Augmented Generation (RAG), agentic AI, multimodal AI, and vector databases such as Pinecone, Weaviate, Milvus, or FAISS Hands-on experience with AI orchestration frameworks such as LangChain, LlamaIndex, LangGraph, or similar technologies Experience deploying AI applications using Kubernetes, Docker, Ray, or distributed inference frameworks Publications in AI/ML conferences, open-source contributions, patents, or recognized technical leadership in the AI community Knowledge of Responsible AI, AI governance, model security, fairness, explainability, and regulatory compliance Ph.D. or Master's degree with a specialization in Artificial Intelligence, Machine Learning, Computer Vision, or Natural Language Processing Interested in this opportunity? Apply today for immediate consideration! Email your updated resume: jaya@bvteck.com Call or Text: (908) 505-3545 Learn more: www.bvteck.com Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR q89KJfFG5x

Your mission If you're studying supply chain, logistics, or business and want real hands-on experience alongside your studies, this is your chance to see the full supply chain of a scaling food company from the inside. As a Working Student in Supply Chain, you'll support our Retail Operations, Planning, and Procurement teams and help keep daily operations running smoothly. Key responsibilities Retail operations: Support the processing of EDI and email orders in SAP, prepare delivery notes and transfer orders, and help coordinate deliveries with logistics partners. Supply chain planning: Help maintain stock, production, and inventory data, and support the Supply Chain Planner with planning overviews. Procurement: Prepare and follow up on purchase orders, check supplier confirmations, and track deliveries of ingredients and packaging. Master data: Keep product, packaging, and supplier data accurate across our systems. Team support: Pick up operational tasks across the team as priorities shift, always in close coordination with the responsible team member. Reporting and process improvement: Prepare regular reports on orders, stock, and purchasing, and help document and improve our supply chain processes. Your profile Requirements Studies: Currently enrolled in a Bachelor's or Master's programme in Supply Chain Management, Business Administration, Logistics, Industrial Engineering, or a related field, ideally with at least 12 months of study remaining. Availability: 16–20 hours per week during the semester, with the option to work more during semester breaks. Experience: First practical experience in supply chain, logistics, or procurement (internship, previous student job) is a plus, but not a must. Technical skills: Good Excel skills. First exposure to SAP or another ERP is a plus. Working style: Organised, reliable, and comfortable switching between tasks and stakeholders. Mindset: Proactive, curious, and eager to learn in a fast-paced environment. Language proficiency: Fluency in English and German, written and spoken. Why us? Why you should apply now Scaling Big: We're at an exciting inflection point, transitioning from a pilot phase to scaling operations. Be part of something transformative and build it from the ground up. Top-Tier Backing: We're supported by world-class VCs and angels who share our vision and believe in our mission. The Time is Now: Food needs a massive transformation. Join us in creating irresistible, sustainable food that inspires billions to switch away from animal-based meat, fast! A word on Diversity, Equity & Inclusion We embrace diversity and equal opportunities for all. Shared values and alignment with Project Eaden's purpose matter most to us. We welcome applications from all qualified candidates, regardless of age, color, national origin, race, religion, gender, sexual orientation, gender identity, or marital status. Workspace and culture We're building something massive—a gentle giant in the food industry. Our team thrives on collaboration, and we believe in the power of face-to-face communication to move fast and work effectively. Currently, we spend most of our time together at our workplace in Berlin to nurture our team spirit and culture. As we grow over the next few years, we aim to evolve into a more distributed workplace, blending the flexibility of remote work with the strength of our shared values and connection. Find Jobs in Germany on Arbeitnow

About IonQ: IonQ, Inc . [NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Location: Manufacturing Site (Geneva), Hybrid Travel: 40% domestic and international. Job ID: 1921 The Role: We are looking for a Multi-Site Supply Chain Manager and MRP/ERP Specialist to join our IonQ Quantum Networking & Security Operations Team. As a Supply Chain Manager, you will be part of a cross-functional international team whose mission is to lead IonQ on its journey to build the world's best quantum computers to solve the world's most complex problems. In this role, you will be responsible for ensuring reliable production planning and material availability across all division products and programs including Quantum Networking & Security projects while managing and optimizing ERP/MRP processes across multiple manufacturing sites. Working as a core member of the division production leadership team, you will lead a team of planner and warehouse specialists driving standardization and best practices. You will collaborate closely with Manufacturing Managers, Sales, Procurement, and Finance. The ideal candidate is process-minded, structured problem-solver with a bias for action, and strong cross-functional communicator in an international multi-site environment. Responsibilities : SIOP & Supply Planning Receive the sales forecast from the Sales/Commercial team across all division and validate it for completeness, consistency, and feasibility before use in planning. Translate customer demand and validated forecasts into capacity, and material plans across the sites ensuring alignment between Manufacturing, Procurement and Finance. Lead the demand and supply review identifying gaps between demand material availability, and inventory targets, and developing mitigation scenarios and recommendations for the Senior Operations Director. Coordinate closely with the Procurement function on material availability, supplier lead times, supply risks, and constraints, ensuring that key risks and potential shortages are identified early and incorporated into SIOP scenarios. Define and optimize inventory targets and policies in line with SIOP objectives, balancing customer service and revenue requirements with working capital, excess inventory, and obsolescence risks. Own and monitor key SIOP and Supply Chain KPIs: On Time Delivery (OTD), capacity utilization, inventory turns, and lead times. Team Leadership Lead and develop a distributed team of demand planning and warehouse/stock specialists, setting clear goals while fostering a culture of data-driven decision-making and continuous improvement (Lean/Six Sigma mindset). Establish common ways of working, tools, and standards across sites to unify the supply chain function at division level. MRP / ERP Management Act as subject matter expert for the MRP/ERP system regarding demand planning capabilities, and drive improvements to configuration, workflows, and data quality. Partner with IT/business systems teams on ERP upgrades, patches, and enhancements affecting planning modules across all sites; lead UAT (user acceptance testing) for planning-related system changes. Finance Reporting Prepare and deliver a monthly production and delivery forecast to Finance to support anticipation of next month's revenues. Partner with Finance on monthly sales forecasts (revenue and volume implications), budget and variance analysis (actual vs. forecast/budget) at division level. Plan and coordinate the annual physical inventory count at each site ensuring accuracy and working with Finance to reconcile results against ERP records. Requirements: Master's degree in industrial engineering, Supply Chain Management, or related field required; 8+ years of progressive supply chain experience focused on demand/supply planning in a manufacturing environment. Experience in the electronics industry preferred. Experience operating across multiple sites and ability to standardize processes and drive alignment across locations 3+ years of experience in leading a team Strong analytical and statistical data handling skills; advanced Excel required. Deep, hands-on expertise in MRP/ERP systems (SAP, Oracle, Microsoft Dynamics) is required Solid knowledge of finance/costing concepts (standard costing, inventory valuation, working capital, etc) Fluent in French and English (written and spoken) required, given the international, cross-functional nature of the role Structured problem-solving and data-driven decision-making Cross functional influence and clear communication to Senior Leadership and Finance Stakeholders. Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401(k), unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying "U.S. Person" (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply! Find Jobs in Switzerland on Arbeitnow

Your role We are looking for a Supply Chain planning working student for 12 months at the heart of our Product team, where you will be responsible for supporting our operational and strategic needs for our physical product: meal kits. You will be central to our activity and will have a significant influence on our customers' meals. We are looking for someone capable of assisting us in the operational planning of recipes at HelloFresh. This is a unique opportunity to learn and gain experience within a fast-growing company that is pioneering the food industry. If you want to be a driving force in the growth of a scale-up, then this position is for you! Your area of responsibility Menu creation and optimization: Assist the team in creating and optimizing menus using our python-based menu-planning algorithm. Product Improvement: You will work on several projects and initiatives that focus on improving our product offering aiming to increase customer satisfaction. Menu De-Risking: You will lead a number of cross-collaborative initiatives and processes aiming to reduce the menu risk and to ensure ingredient availability by considering the end-to-end value chain of our product. Operations support: You support the team in day-to-day operations as well as with administrative and organizational tasks along the supply and menu planning process and have the opportunity to solve concrete problems, make decisions, and learn to manage real-world situations in a dynamic environment. Process management: You will participate in projects aimed at optimizing and automating and improving our product processes and supply chain by working with other teams. Reporting: You will track the weekly performance of menus and recipes, and conduct analyses on their monthly/quarterly performance. Recipe change management in menus: You will select alternative recipes when needed (ingredient shortage, marketing need, etc.). Recipe & Ingredient Pool management: You will contribute to the maintenance of the recipe and ingredient database in alignment with the culinary teams. Customization: You will support the expansion of our product offering by uploading and managing customized menu options to provide customers with greater choice. Your profile You are completing a degree in Business Administration, Management, Industrial Engineering, or a related discipline, ideally with a focus on Product Management, Supply Chain or Operations Management. Initial experience in product management or supply planning, CPG and E-Commerce experience is a plus. Excellent command of Excel; knowledge of SQL and Python is a real plus. A hands-on mindset and team spirit, which is very important as you will be working with many different people and teams. Fluency in English, German is a plus. Strong organizational skills, rigor, and great attention to detail. A proactive and ambitious mindset, with a desire to be part of a particularly dynamic business. Enthusiasm for the world of food and an interest in data are real assets for this job. What we offer you Modern and comfortable working space with great co-workers in Berlin-Kreuzberg Discount for HelloFresh boxes and Convini products Extensive Onboarding and Buddy Program Social events including team events, Friday beers, company runs, book club, etc. Discounted fitness offers with our Urban Sports Club and John Reed partners, as well as yoga classes Well-being initiatives in cooperation with Headspace and Spill Monthly allowance for the Deutschlandticket #JD1001 Find more English Speaking Jobs in Germany on Arbeitnow

Job Description Position Summary Base-2 Solutions is seeking a DevOps Software Engineer to join a high-energy team supporting the DIA-NMEC DOMEX Technology Platform (DTP). This role involves building and deploying a cutting-edge technology stack as part of a 10-year program modernizing the DOMEX Data Discovery Platform (D3P). The position requires collaboration with a multidisciplinary team to deliver mission-critical capabilities. Essential Duties and Responsibilities Design, deploy, and maintain a full-stack, containerized microservices architecture. Support systems administration, installation, and configuration. Promote adoption of DevOps best practices across cross-functional engineering teams. Deploy, triage, and maintain a production big-data pipeline built on Kubernetes, Elasticsearch, and Kafka. Enhance and maintain CI/CD pipelines and DevOps automation to accelerate development and improve reliability. Design and support scalable, redundant infrastructure across physical and virtual environments. Use Helm to configure Kubernetes deployments for new features and evolving requirements. Partner with Systems Engineers to architect solutions for new capabilities. Contribute technical input to engineering documentation, diagrams, and models. Participate in Agile release planning, scrums, design sessions, bug triage, and related team activities. Required Qualifications Bachelor's degree in Engineering, Computer Science, Systems Engineering, or related field (or equivalent experience) with 8+ years of relevant experience; 6+ years with a Master's degree. Strong Linux proficiency. Hands-on experience with containers and Kubernetes. Experience with CI/CD orchestration and GitLab. Familiarity with Elasticsearch, Logstash, and Kibana. Demonstrated success working in cross-functional engineering environments. Preferred Qualifications Experience operating systems at scale. Knowledge of Agile methodologies. Development experience with Bash, PowerShell, SALT, Python, Groovy, Java, etc. Experience supporting enterprise or production systems. Familiarity with Kafka or other messaging systems (AMQP, JMS). Experience with Kubernetes monitoring tools (Prometheus, Grafana). Experience with GPU-based Kubernetes. Experience with SALT for deployment automation. Experience with Helm / Helmfile. Experience with Nexus. Required Education and Experience Equivalency Bachelor's degree with 8+ years of experience. Master's degree with 6+ years of experience. Required Certifications None specified. Required Security Clearance Active Top Secret/SCI Equal Employment Opportunity Base-2 Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, sexual orientation, gender identity, genetic information, protected veteran status, or any other characteristic protected by law, and will not be discriminated against on the basis of disability. Learn more: Pay & Benefit Highlights Compensation Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity). Employee referral bonuses up to $10,000 per hired referral. Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent). Health 100% company-paid medical premiums for employees and eligible dependents. Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans. 100% company-paid dental premiums for employees and eligible dependents. 100% company-paid vision premiums for employees and eligible dependents. Income Protection 100% company-paid premiums for short-term disability. 100% company-paid premiums for long-term disability. 100% company-paid premiums for accidental death & dismemberment (AD&D). 100% company-paid premiums for life insurance up to $200,000. Retirement 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total). 401(k) pre-tax and Roth options. Leave Up to 20 days of flexible paid time off (PTO). 11 paid floating holidays. Work-Life Balance Flexible work schedules, including flex time and compressed work periods (contract and project-dependent). NT

Dark Wolf is looking for Google Cloud Engineers are responsible for designing, implementing, and managing Google Cloud Platform (GCP) solutions for our customers. The ideal candidate will have a deep understanding of GCP services and technologies, as well as experience in designing and implementing scalable, reliable, and secure cloud solutions. Responsibilities Driving and implementing technology solutions on Google Cloud. Working with customers, partners, and internal project team members to understand customer business requirements and translate into actionable engineering tasks. Developing and maintaining infrastructure as code (IaC) using tools such as Terraform. Configuring and managing GCP services such as Compute Engine, App Engine, Google Kubernetes Engine, Cloud Storage, and Cloud SQL. Architecting and implementing security best practices for GCP solutions using products such as Assured Workloads, Cloud Logging, Cloud Monitoring, and Security Command Center. Staying up-to-date on the latest GCP services and technologies and their applicability to the Public Sector space. Mid Level Required Qualifications Bachelor's degree in computer science or a related field 3+ years of experience in cloud computing 1+ years of experience with GCP 1+ years of experience with one or more programming languages (e.g. Python) Strong understanding of Google Cloud services and technologies Experience leading technical teams including delegating tasks, reviewing designs and completed tasks by team members, and coaching junior team members Experience designing and implementing scalable, reliable, and secure cloud solutions Experience developing technical architecture documents, driving design decisions, developing documentation artifacts, and presenting technical solutions to clients and executive level leaders Experience with infrastructure automation using IaC tools such as Terraform Strong understanding of DevOps practices and experience implementing CI/CD in cloud environments Excellent communication and teamwork skills Ability to work collaboratively with the broader team as well as independently US Citizenship and active Secret clearance Mid Level Preferred Qualifications At least one Google Cloud Professional Certification Experience working within Agile teams Experience working with Google Cloud compliance products such as Security Command Center and Assured Workloads Experience working with customers in the U.S. Public Sector Experience with DoD/DISA cybersecurity policies Senior Level Qualifications Bachelor's degree in computer science or a related field 8+ years of experience in cloud computing 3+ years of experience with GCP 5+ years of experience with one or more programming languages (e.g. Python) Strong understanding of Google Cloud services and technologies Experience leading technical teams including delegating tasks, reviewing designs and completed tasks by team members, and coaching junior team members Experience designing and implementing scalable, reliable, and secure cloud solutions Experience developing technical architecture documents, driving design decisions, developing documentation artifacts, and presenting technical solutions to clients and executive level leaders Experience with infrastructure automation using IaC tools such as Terraform Strong understanding of DevOps practices and experience implementing CI/CD in cloud environments Excellent communication and teamwork skills Ability to work collaboratively with the broader team as well as independently At least one Google Cloud Professional Certification US Citizenship and active Secret clearance Senior Level Preferred Qualifications Experience working within Agile teams Experience working with Google Cloud compliance products such as Security Command Center and Assured Workloads Experience working with customers in the U.S. Public Sector Experience with DoD/DISA cybersecurity policies This position will be hybrid / remote based out of a Dark Wolf Hub: Herndon VA, Tampa FL, Colorado Springs CO, Ogden UT, or Omaha NE. The salary range for this position is estimated to be the following, commensurate on experience and technical skillset. Mid Level: $120,000.00 - $160,000.00 Senior Level: $160,000.00 - $190,000.00 We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

At Stark, we forge the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision. As a premier defence technology company, our mission is clear: to equip NATO Allies and their partners with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world's most demanding environments. We believe that true security stems from relentless innovation. By combining elite engineering talent with agile technology and an AI-native operational culture, Stark turns complex defence challenges into field-tested, multi-domain solutions. Why Join Us? The software and systems you work on directly protect personnel and defend European and national sovereignty. You will work alongside industry-leading minds on autonomous systems, advanced propulsion, and secure cyber platforms. We foster a fast-paced, collaborative environment where bold ideas are supported by serious R&D backing. About the Team The Systems Engineering team at STARK is at the core of defining, analyzing, and validating the architecture of our flagship Virtus Loitering Munition System (VLMS) and its subcomponents. Our mission is to seamlessly bridge the gap between high-level customer requirements (such as Bw LaFos) and actionable engineering deliverables across software, hardware, and safety disciplines. You will be joining a highly agile and multidisciplinary group that works closely with subsystem owners, safety engineers, and product management to ensure total coverage of operational needs. We thrive on direct collaboration, rapid iteration, and maintaining robust traceability from Concept of Operations (ConOps) down to L3 technical requirements. Your Mission As a Senior Systems Engineer, you will drive the development and maintenance of our system architecture and requirement baselines. You will coordinate with hardware and software teams to allocate subsystem requirements and technical requirements across critical elements like the airframe, Ground Control Station (GCS), and Flight Control systems. By establishing clear traceability and managing the Systems Engineering Management Plan (SEMP), you will enable STARK to deliver safe, highly reliable, and compliant defence technologies within aggressive timelines. You will work across engineering disciplines to design, test and build top-of-the-line solutions to some of the largest challenges facing the defence sector. In addition to academic and industrial experience in any technical field, candidates should also possess excellent communication skills, and an aptitude for turning complex challenges into direct, actionable solutions. Responsibilities Define, decompose, and document system-level requirements down to subsystem and technical requirements. Maintain and evolve system engineering artefacts for Loitering Munition Systems across various configurations. Work closely with software and hardware teams to define interfaces, ensuring accurate allocation of requirements to system architecture elements. Assist in generating safety documentation, such as the Systems Engineering Management Plan (SEMP), Traceability Matrices, and System Hazard Analyses in compliance with MIL-STD-882E and IEC61508. Assist in the definition of IV&V (Integration, Verification, and Validation) processes for ground and flight testing, ensuring all customer requirements are verifiably met. Maintain technical documentation, including test protocols, subsystem design documents, and the overall system design baseline. Help refine our Data Models and Systems Engineering workflows to balance rapid development with rigorous documentation and traceability. Required Skills Degree (Bachelor) in Systems Engineering, Aerospace, Electrical Engineering or a related field (or comparable practical experience). Qualifications in other technical fields will be strongly considered if they demonstrate relevant skills. Experience managing complex requirements databases and traceability matrices (e.g., Jama Connect, DOORS). Strong understanding of Systems Engineering V-model processes, System Breakdown Structures (SBS), and requirements decomposition. Initial experience in system integration and working with communication protocols (e.g., CAN, DroneCAN, MAVLink, Ethernet) is an advantage. Analytical and problem-solving skills are a must, as is a motivation and willingness to learn and grow in a dynamic, innovation-driven environment. Experience in at least one of the following technical skillsets: 3D CAD; CFD/FEA or similar simulation techniques; Systems modelling and analysis in MATLAB/Simulink/SysML or similar. Code development in object-oriented languages (e.g. C, Python, Java, Javascript); Flight or similar vehicle testing. Nice-To-Have Fluent English (C1 preferred). German language skills are advantageous but not required. Industry certifications or qualifications in Systems Engineering (e.g. from INCOSE). Familiarity with defence or aerospace functional safety standards, particularly MIL-STD-882E or IEC61508. Familiarity with unmanned aerial systems (UAS), loitering munitions, and autopilot platforms (e.g., Ardupilot, PX4, DroneCore). Equal Opportunity: At Stark Defence, we are committed to building a diverse, inclusive, and high-performing team. We operate in an industry where women, as well as other minority groups, are systematically under-represented. We actively encourage applications from candidates of all backgrounds and identities. If you are excited about this role, we encourage you to apply even if you don't meet all the listed qualifications—ability and impact cannot be summarised in a few bullet points. We value unique perspectives, adaptability, and a drive to solve high-stakes challenges. Security Clearance: Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process. Find more English Speaking Jobs in Germany on Arbeitnow