ai engineer (m/w/d) – robotics & intralogistics

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ai automation engineer (m/f/d) Jobs in Munich

ai automation engineer (m/f/d)

ai engineer (m/w/d)

ai engineer (m/w/d) – robotics & intralogistics Jobs in Munich

ai engineer / software engineer (all genders) Jobs in Munich

ai manipulation engineer (human) Jobs in Munich

ai manipulation engineer (human)

ai manipulation engineer human

NEURA Robotics

<div><h1 class="jobSectionHeader">Your mission &amp; challenges</h1><ul><li>
Policy Design &amp; Training: You design and train the learning-based policies that map multimodal sensing, from vision and language down to raw tactile and IMU data, into smooth, precise, and safe hardware actions.
Multi-Contact Manipulation: You sit at the intersection of imitation learning, reinforcement learning, and physical deployment. Your problem is the hard one: multi-contact manipulation on real, underactuated, tactile-rich hardware.
Dexterous Hand Control: You teach NEURA's hands to manipulate the world with human-like dexterity</li><li>
Collaboration &amp; Execution: You work closely with ML, robotics, and software teams to deliver trained policies that work on the hands.</li></ul><h1 class="jobSectionHeader">
What we can look forward to:</h1><ul><li>
Master's or PhD in Robotics, Computer Science, Machine Learning, or a related field with a strong focus on robotic manipulation or reinforcement learning</li><li>
Hands-on experience training manipulation policies with imitation learning or deep RL on physical robot arms or dexterous hands</li><li>
Deep familiarity with GPU-accelerated simulation (Isaac Lab and Isaac Sim, or MuJoCo), including building custom environments and assets</li><li>
Strong PyTorch, with experience using robot-learning libraries such as Stable-Baselines3, Ray RLlib, or LeRobot</li><li>
Solid foundations in kinematics, dynamics, spatial transforms, and closed-loop control</li><li>
Proficient Python and C++, clean reproducible code, Git, and Docker</li></ul>
Nice to have:<ul><li>
Experience with teleoperation hardware such as VR controllers, data gloves, or vision-based hand tracking</li><li>
Experience training or fine-tuning VLA or diffusion-based architectures</li><li>
Experience with tendon-driven or highly underactuated mechanical systems</li></ul></div>

AI Manipulation Engineer (human)

Intrinsic

<div><div>Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what's possible for industrial robotics in the near future &ndash; with software and data at the core.

Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.</div><h2 class="jobSectionHeader">
Role</h2>

As a Staff Robotics Software Engineer and Researcher, you will take full technical ownership of developing and deploying robotics grasping and manipulation algorithms, leading the end-to-end lifecycle from foundational research to global deployment. You will help define the architecture and long-term strategy that enables robots to interact with the physical world, researching and scoping innovative solutions for robust grasping in industrial settings. By abstracting the inherent complexity of robotic manipulation into intuitive workflows, you will work with a multidisciplinary team to integrate and validate high-availability software within complex, real-world industrial applications for manufacturing environments.
<h2 class="jobSectionHeader">
How your work moves the mission forward</h2>
<ul><li>Design and implement robust and efficient production-ready algorithms for robotic grasping and manipulation.</li>
<li>Identify opportunities to apply cutting-edge advancements in robotics and apply them to practical industrial problems</li>
<li>Transform complex partner requirements into highly reliable and functional technical outcomes.</li>
<li>Mentor junior engineers, contribute to the strategic roadmap and drive the evolution of our robotic software stack for global industrial deployment.</li>
</ul><h2 class="jobSectionHeader">Skills you will need to be successful</h2>
<ul><li>Master's degree in Robotics, Computer Science, or a related field, with 8+ years of experience in robotics.</li>
<li>3+ years of professional experience in robotic grasp planning.</li>
<li>2 years of leading substantial, ambiguous technical projects from inception to deployment</li>
<li>Strong foundational knowledge in linear algebra, spatial transformations, and rigid body dynamics.</li>
<li>6 years of professional experience programming robotics software in C++ and Python, with a proven track record of shipping production-quality code.</li>
<li>Experience Machine Learning in applied robotics context</li>
</ul><h2 class="jobSectionHeader">Skills that will differentiate your candidacy</h2>
<ul><li>PhD in Robotics and Machine Learning, Reinforcement Learning, or a related field with a focus on robotic manipulation, grasp planning, or motion planning.</li>
<li>ML Frameworks: Deep expertise with JAX, TensorFlow, or PyTorch.</li>
<li>Experience in developing the entire stack: ranging from writing kinematics, motion generation, to system integration and testing.</li>
</ul><div>
At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.

If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.</div></div>

Staff Robotics Software Engineer - Grasping

<div>Your mission &amp; challenges<ul><li>
Act as AI consultant for NeuraGym users: scope feasibility, choose algorithms, plan data collection</li><li>
Onboard users to the full NeuraGym pipeline: teleoperation, annotation, training, simulation, deployment and validation</li><li>
Collaborate closely with the on-site Robotics Engineer during data capture and experiments to ensure that the desired behavior and safety standards are achieved</li><li>
Advise users while they debug: review training scripts, point out data issues, help reproduce model bugs; step in hands-on when a blocker persists</li><li>
Serve as a valuable interface to our cloud team and AI team, facilitating collaboration and support where needed</li><li>
Feed lessons learned back into both the NeuraGym product roadmap and the Neura core AI roadmap</li></ul>
What we can look forward to<ul><li>
Master&rsquo;s degree in Computer Science, Robotics, Electrical Engineering or related field</li><li>
3+ years hands-on machine-learning experience in robotics - strong in at least one of: vision-based manipulation, reinforcement/imitation learning, or multimodal models - and keen to learn the rest</li><li>
Solid Python skills (C++ a plus); practical experience with PyTorch or TensorFlow 
Comfortable working directly with real robot hardware and associated middleware</li><li>
Cloud experience (AWS, Azure, or GCP) and experience with robotic simulation tools (IsaacSim, MuJoCo, etc.) is a plus</li><li>
Proven problem-solving abilities and ability to handle multiple projects in parallel</li><li>
Clear communicator who can translate between researchers, engineers and end-users. You have a good command of English and German language (B2 - C1 level)</li></ul></div>

Robotic Foundation Model Engineer – RoboGym (Human)

<div><h3 class="jobSectionHeader">Deine Mission &amp; Herausforderungen</h3><ul><li>
Bau, f&uuml;hre und entwickle ein leistungsstarkes Team von Robotic Foundation Model Application Engineers und unterst&uuml;tze sie sowohl in ihrer technischen Weiterentwicklung als auch im t&auml;glichen Arbeiten</li><li>
&Uuml;bernimm die technische Leitung und sei die zentrale Ansprechperson f&uuml;r NeuraGym-User, bewerte Machbarkeit, w&auml;hle passende Algorithmen aus und definiere Datenstrategien</li><li>
Steuere den gesamten Onboarding-Prozess f&uuml;r NeuraGym-User &uuml;ber die komplette Pipeline hinweg, inklusive Teleoperation, Annotation, Training, Simulation, Deployment und Validierung</li><li>
Arbeite eng mit den Robotics Engineers vor Ort zusammen bei Datenerfassung und Experimenten, damit Robotik-Verhalten, Sicherheitsstandards und Experimentqualit&auml;t stimmen</li><li>
Pack selbst mit an, wenn technische Blocker auftreten, z. B. beim Review von Trainingscode, bei der Analyse von Datenproblemen oder beim Reproduzieren von Modellfehlern</li><li>
Sei die zentrale Schnittstelle zu Cloud- und AI-Teams und sorge f&uuml;r reibungslose bereichs&uuml;bergreifende Zusammenarbeit</li><li>
Sammle Erkenntnisse aus allen Projekten und &uuml;bertrage sie in Verbesserungen f&uuml;r die NeuraGym Product Roadmap sowie die zentrale Neura AI Roadmap</li><li>
Definiere, tracke und verbessere wichtige Team-Kennzahlen wie Skill-Success-Rate, Time-to-Validated-Skill und Data-Efficiency</li></ul><h3 class="jobSectionHeader">
Worauf wir uns freuen</h3><ul><li>
Master oder PhD in Informatik, Robotik, Elektrotechnik oder einem verwandten Bereich</li><li>
5+ Jahre praktische Erfahrung im Machine Learning in der Robotik, mit starker Expertise in mindestens zwei Bereichen wie vision-basierter Manipulation, Reinforcement-/Imitation Learning oder multimodalen Foundation Models</li><li>
Mindestens 2+ Jahre Erfahrung in Mitarbeiterf&uuml;hrung oder formaler technischer Leitung (z. B. Tech Lead, Staff Engineer oder Team Lead mit direkten Reports)</li><li>
Sehr gute Python-Kenntnisse (C++ ist ein Plus) sowie praktische Erfahrung mit PyTorch oder TensorFlow</li><li>
Erfahrung im direkten Arbeiten mit echter Roboterhardware und zugeh&ouml;riger Middleware</li><li>
Erfahrung mit Cloud-Plattformen (AWS, Azure oder GCP) sowie Robotik-Simulationstools (z. B. IsaacSim, MuJoCo) ist ein Plus</li><li>
Nachweisbare Erfahrung in der Umsetzung komplexer, mehrmonatiger Robotikprojekte mit messbaren Ergebnissen</li><li>
Starke Kommunikationsf&auml;higkeiten, um zwischen Forschern, Ingenieuren und Endnutzern zu &uuml;bersetzen; sehr gutes Englisch und Deutsch (B2&ndash;C1)</li></ul></div><div></div>

Teamlead AI Engineering - RoboGym (Mensch)

<div><h3 class="jobSectionHeader">Your mission &amp; challenges</h3><ul><li>
Build, lead, and develop a high-performing team of Robotic Foundation Model Application Engineers, supporting both their technical growth and day-to-day execution</li><li>
Act as the technical lead and escalation point for NeuraGym users, evaluating feasibility, selecting appropriate algorithms, and defining data collection strategies</li><li>
Own and drive the onboarding process for NeuraGym users across the full pipeline, including teleoperation, annotation, training, simulation, deployment, and validation</li><li>
Partner closely with on-site Robotics Engineers during data collection and experiments to ensure correct robot behavior, safety standards, and experimental quality</li><li>
Take a hands-on role when technical blockers arise, including reviewing training code, diagnosing data issues, and reproducing model failures</li><li>
Act as the primary interface to Cloud and AI teams, enabling smooth cross-functional alignment and collaboration</li><li>
Consolidate insights across projects and translate them into improvements for both the NeuraGym product roadmap and the core Neura AI roadmap</li><li>
Define, monitor, and iterate on key team metrics such as skill success rate, time-to-validated-skill, and data efficiency</li></ul><h3 class="jobSectionHeader">
What we can look forward to</h3><ul><li>
Master&rsquo;s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field</li><li>
5+ years of hands-on machine learning experience in robotics, with strong expertise in at least two areas such as vision-based manipulation, reinforcement/imitation learning, or multimodal foundation models</li><li>
At least 2+ years of experience in people management or formal technical leadership (e.g., tech lead, staff engineer, or team lead with direct reports)</li><li>
Strong Python skills (C++ is a plus), with practical experience in PyTorch or TensorFlow</li><li>
Comfortable working directly with real robot hardware and associated middleware</li><li>
Experience with cloud platforms (AWS, Azure, or GCP) and robotic simulation tools (e.g., IsaacSim, MuJoCo) is a plus</li><li>
Proven track record of delivering complex, multi-month robotics projects with measurable outcomes</li><li>
Strong communicator with the ability to bridge researchers, engineers, and end-users; proficient in English and German (B2&ndash;C1)</li></ul></div><div></div>

Teamlead AI Engineering - RoboGym (human)

NVIDIA

<div>We are looking for a Senior Software Engineer, Applied AI Systems, to build production AI / ML and agentic solutions. We need a hands-on senior engineer who can turn ambiguous technical problems into durable software systems and AI-enabled systems: agents, workflow services, APIs, data pipelines, tool integrations, evaluation and benchmarking harnesses, reference architectures, and operational tooling.
We work at the intersection of applied AI, agentic workflows, software engineering, distributed systems, performance engineering, accelerated computing, and data infrastructure. In this role, you will build AI systems as real software systems: write and review high-quality code, make architecture tradeoffs, benchmark behavior and performance, and outcomes from prototype through validation, hardening, deployment, and ongoing support. This is an opportunity to shape how production applied AI systems are built, measured, and reused inside NVIDIA!
We partner across global teams and time zones for design reviews, planning, debugging, support critical issues, and technical decision-making. We need an engineer who turns complex requirements into clear technical plans, keeps the focus on reusable software capability rather than one-off delivery, and drives execution across teams.
What you will be doing:
<ul><li>Build and own production-grade applied AI systems for NVIDIA&rsquo;s technical and solution development use cases, including agentic solutions where they materially improve the systems and softwares.</li><li>
Design and build agentic workflows and the software around them: workflow services, APIs, retrieval, MCP/A2A-style tool integrations, agent harnesses, automation, telemetry, operational controls, and human oversight.</li><li>
Design reliable services, APIs, workflow state, event-driven execution, and observability using systems such as Kafka, ClickHouse, and OTel-style patterns.</li><li>
Translate complex technical and operational requirements into clear system designs, plans, interfaces, measurable outcomes, and pragmatic technical decisions through design reviews, code reviews, and clear communication.</li><li>
Develop production software in Python and other relevant languages, with strong testing, observability, CI/CD, documentation, and operational practices.</li><li>
Build performance and benchmarking workflows for existing production solutions or products, including validation harnesses, regression tests, tracing, metrics, failure analysis, latency, throughput, reliability, resource usage, and AI/inference behavior where relevant.</li><li>
Improve standard solution patterns alongside larger applied AI systems, working with NVIDIA engineering and solution teams to codify repeated patterns, product gaps, and field lessons into APIs, services, reference architectures, playbooks, test harnesses, and shared engineering building blocks.</li><li>
Debug and support production solutions across software, infrastructure, AI models, data pipelines, inference services, and GPU-accelerated environments, turning recurring support patterns into product or platform improvements.</li></ul>
What we need to see:<ul><li>
BS, MS, or PhD in Computer Science, Engineering, AI/ML, or equivalent experience, with 5+ years of professional software engineering experience owning production systems or meaningful platform components.</li><li>
Hands-on experience with LLM, generative AI, RAG, agentic AI, MCP or intelligent AI technologies beyond simple prompting or notebooks, including tool use, retrieval, evaluation, guardrails, orchestration, or human-in-the-loop control.</li><li>
Strong Python engineering skills and practical experience with at least one additional production programming language such as C++, Go, Rust, or TypeScript.</li><li>
Demonstrated ability to develop and build distributed systems, backend services, data pipelines, workflow orchestration, APIs, or developer platforms using production environments like Kafka, ClickHouse, PostgreSQL, Redis, object storage, Kubernetes, or similar technologies.</li><li>
Strong system design and operational judgment, including reliability, latency, cost, security, privacy, scalability, debuggability, maintainability, performance analysis, benchmarking, profiling, or capacity evaluation.</li><li>
Excellent debugging and problem-solving skills across software, infrastructure, AI systems, and performance bottlenecks.</li><li>
Proven ownership of ambiguous, cross-team engineering work, with ability to collaborate with distributed teams spanning US Pacific, EMEA, and APAC timezones.</li><li>
Required : Strong written and verbal communication skills in English.</li></ul>
Ways to stand out from the crowd:
<ul><li>Experience building real-world AI implementations, agent tools, MCP-compatible modules, A2A-style bridges, agent frameworks, evaluation frameworks, or RAG systems used by real users.</li><li>
Familiarity with NVIDIA GPU, AI Software Technologies such as NVIDIA NIM, NeMo Agent Toolkit, CUDA and Agentic AI development frameworks</li><li>
Open-source contributions, technical papers, patents, conference talks, engineering blogs, or major internal engineering artifacts</li></ul>
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Widely considered to be one of the technology world&rsquo;s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/</div>

Senior Software Engineer, Applied AI

CLERA

<div><h3 class="jobSectionHeader">About the Role</h3>
Join a well-funded, early-stage startup bringing AI agents to a highly specialised professional services industry. This is a hands-on, end-to-end engineering role: you will design, build, ship, and continuously improve production AI agents that automate repetitive, high-value workflows for real customers. You will work directly with those customers, translate what you observe into reliable automations, and own everything from prototype to production monitoring.
The team moves fast, values measurable impact, and expects every engineer to take full ownership of the problems they pick up.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Convert observed customer workflows into autonomous AI agents that perform work end-to-end.</li><li>
Collaborate directly with customers to understand their operations, surface automation opportunities, and iterate on solutions.</li><li>
Ship automations that replace hours of manual, repetitive effort and demonstrably improve user efficiency.</li><li>
Own production AI agents across their full lifecycle: build, deploy, monitor, and improve.</li><li>
Run structured experiments with new models, prompting techniques, and use cases; benchmark results and ship what works.</li><li>
Design thoughtful AI &times; Human interfaces that make automation practical and trustworthy for professional users.</li><li>
Instrument systems with observability tooling &mdash; metrics, dashboards, and alerts &mdash; to ensure reliability at scale.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3>
Must-haves (dealbreakers):<ul><li>
5+ years of experience in ML/AI product development, with a strong track record of building and delivering production-grade AI agents.</li><li>
Demonstrated experience shipping LLM-based systems in production (not just prototypes).</li><li>
Proven end-to-end ownership of production AI agents: build deploy monitor improve.</li></ul>
Required skills &amp; experience:<ul><li>
Strong Python programming skills; comfortable shipping production-quality Python code.</li><li>
Experience turning observed real-world workflows into deployable AI automations.</li><li>
Ability to gather requirements directly from customers and translate them into working software.</li><li>
Product-minded approach &mdash; you think about the user experience, not just the model performance.</li></ul>
Nice to have:<ul><li>
Experience designing AI interfaces for human-AI collaboration.</li><li>
Systematic experimentation and benchmarking of models and techniques.</li><li>
Observability and monitoring experience for AI systems (metrics, dashboards, alerting).</li><li>
Background in or exposure to professional services, fintech, or compliance-heavy industries.</li></ul><h3 class="jobSectionHeader">
Location</h3>
This role is on-site in Munich, Bavaria, Germany. Candidates must be willing and able to work from the Munich office. Visa sponsorship is not available &mdash; applicants must already have the right to work in Germany.<h3 class="jobSectionHeader">
Compensation &amp; Benefits</h3>
Compensation details were not specified for this role. You will be joining an early-stage, seed-funded startup where equity upside and direct impact are significant parts of the overall package. Specifics will be discussed during the interview process.</div>

Member of Technical Staff, Product (AI Agents)

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