robotics engineer

Intrinsic

<div><div><p>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.</p>
<p>
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.</p></div><h2 class="jobSectionHeader"><b>
Role</b></h2>
<p>
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.</p>
<h2 class="jobSectionHeader"><b>
How your work moves the mission forward</b></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"><b>Skills you will need to be successful</b></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"><b>Skills that will differentiate your candidacy</b></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><p>
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.</p>
<p>
If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.</p></div></div>

Staff Robotics Software Engineer - Grasping

AutoBrains Technologies

<div><p>We want to bring on an engineer for the planner stack. This is an engineering role at heart, developing the logic that triggers/executes various driving maneuvers.</p><p>
But it's not a pure desk job. Because we release new software fast and have cars driving around town every day, this person will also stay close to the testing side: seeing their code run on the real car, helping keep an eye on our daily test drives, and being aware of what new code is being released across the company. Monitor improvements and degradation.</p><p>
We're looking for a sharp, early-career engineer who's excited about robotics and autonomous driving. Someone who's curious, self-driven, and eager to get hands-on with real autonomy challenges. If you enjoy solving tough technical problems, learning fast, and making an impact in a startup environment, we'd love to hear from you.</p><br>
Requirements:
<br>
<ul><li><b>Master's degree in engineering or a STEM field (e.g. electrical engineering, deep learning / ML, robotics, or similar)</b></li><li>
Experience in robotics, autonomous driving, or control engineering</li><li>
Experience with Machine Learning</li><li>
Coding</li><li>
Experience with Linux</li><li>
Curious, self-driven, good communicator</li><li>
Driver's license (occasional test drives)</li></ul><p><b>
Bonus</b></p><ul><li><b>
Experience with Docker</b></li><li>
Experience with ROS</li></ul><br>
Responsibilities:
<br>
<ul><li>Develop and improve the planner stack (the software that decides how the car moves)</li><li>
Keep aware of what new software is being released across the company</li><li>
Stay close to our daily test drives, monitor improvements/degradation</li><li>
Join test drives</li></ul></div>

Planner Stack Engineer

NEURA Robotics

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

Robotic Foundation Model Engineer – RoboGym (Human)

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

Teamlead AI Engineering - RoboGym (human)

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

Teamlead AI Engineering - RoboGym (Mensch)

<div><h3 class="jobSectionHeader"><b>Deine Mission &amp; Herausforderungen</b></h3><ul><li><p>
Du bist AI Consultant f&uuml;r unsere NeuraGym-Nutzer:innen: Du bewertest die Machbarkeit von Projekten, w&auml;hlst passende Algorithmen aus und planst die Datenerfassung.</p></li><li><p>
Du begleitest Nutzer:innen durch die komplette NeuraGym-Pipeline &ndash; von Teleoperation &uuml;ber Annotation und Training bis hin zu Simulation, Deployment und Validierung.</p></li><li><p>
Du arbeitest eng mit unseren Robotics Engineers vor Ort zusammen, um bei Datenerfassung und Experimenten sicherzustellen, dass das gew&uuml;nschte Verhalten und alle Sicherheitsstandards erreicht werden.</p></li><li><p>
Du unterst&uuml;tzt Nutzer:innen beim Debugging: Du schaust dir Trainingsskripte an, erkennst Datenprobleme, hilfst dabei, Modellfehler nachzustellen, und packst selbst mit an, wenn es mal hakt.</p></li><li><p>
Du bist die Schnittstelle zu unserem Cloud- und AI-Team und sorgst f&uuml;r eine enge Zusammenarbeit und den n&ouml;tigen Support.</p></li><li><p>
Du bringst deine Erfahrungen und Erkenntnisse aktiv in die Weiterentwicklung von NeuraGym und unserer Neura Core AI Roadmap ein.</p></li></ul><h3 class="jobSectionHeader"><b>
Darauf freuen wir uns</b></h3><ul><li><p>
Abgeschlossenes Masterstudium in Informatik, Robotik, Elektrotechnik oder einem vergleichbaren Bereich.</p></li><li><p>
Mindestens 3 Jahre praktische Erfahrung im Machine Learning f&uuml;r Robotik &ndash; mit Schwerpunkt in mindestens einem der folgenden Bereiche: bildbasierte Manipulation, Reinforcement- oder Imitation Learning oder multimodale Modelle. Gleichzeitig hast du Lust, dich auch in die anderen Themen einzuarbeiten.</p></li><li><p>
Gute Python-Kenntnisse (C++ ist ein Plus) sowie praktische Erfahrung mit PyTorch oder TensorFlow.</p></li><li><p>
Du arbeitest gerne direkt mit echter Roboterhardware und den dazugeh&ouml;rigen Middleware-L&ouml;sungen.</p></li><li><p>
Erfahrung mit Cloud-Plattformen (AWS, Azure oder GCP) sowie Robotik-Simulationsumgebungen (z. B. Isaac Sim oder MuJoCo) ist von Vorteil.</p></li><li><p>
Du gehst Herausforderungen strukturiert an und beh&auml;ltst auch bei mehreren parallelen Projekten den &Uuml;berblick.</p></li><li><p>
Du kommunizierst klar und kannst gut zwischen Forschung, Engineering und Endanwender:innen vermitteln. Au&szlig;erdem verf&uuml;gst du &uuml;ber sehr gute Englisch- und Deutschkenntnisse (mindestens B2&ndash;C1).</p></li></ul></div><div></div>

Robotic Foundation Model Engineer – RoboGym (Mensch)

Cartken

<div><h4 class="jobSectionHeader"><b>Who we are</b></h4><p></p><p>
Cartken is a startup at the forefront of autonomous robotics and short-distance material transport. Our team has more than a century of combined experience solving some of the toughest challenges in autonomous vehicles, robotics, and operations at Google, Amazon, Apple, and Facebook. We have robots operating around the world providing reliable and cost-effective short-distance material transport for our industrial customers.</p><p>
The AI powering our robots makes them the safest and most reliable in the market today.Our robots are equipped with multiple sensors and cameras which allow them to stop on a dime in order to avoid collisions and choose routes which have the fewest hazards.</p><p>
You can read more about Cartken here.</p><p></p><h4 class="jobSectionHeader"><b><br>
Our mission</b></h4><p>
We streamline short-distance material transport through cost-efficient and flexible autonomous robotics.</p><h4 class="jobSectionHeader"><b><br>
Why join us</b></h4><p></p><ul><li><p>
We&rsquo;re passionate about applying state-of-the-art technology to solve real-world problems and become the brains behind an automation revolution</p></li><li><p>
We&rsquo;re fast and thrive on making an impact</p></li><li><p>
You get to work with a diverse team of super talented people across USA and Germany</p></li><li><p>
You&rsquo;ll also get to build a growing startup and by default do and learn a tonne</p></li></ul><p></p><h4 class="jobSectionHeader"><b><br>
What you'll do</b></h4><p></p><ul><li>
5+ years of relevant work experience.</li><li>
Own the systems managing, configuring, updating and monitoring our robot fleet.</li><li>
Help design, implement and validate the next generation of our fleet update and job execution platform.</li><li>
Develop backend services and internal tools for operational workflows, job scheduling, configuration management, and fleet maintenance.</li><li>
Work on core backend topics such as APIs, service-to-service communication, data modeling, security, reliability, and observability.</li><li>
Work on infrastructure topics such as NATS, GCP, Docker, CI/CD pipelines, deployment automation, and observability.</li><li>
Collaborate closely with robotics and operations teams to turn real-world field &amp; customer requirements into robust technical solutions.</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
What you bring</b></h4><p></p><ul><li>
Strong backend, systems, or DevOps engineering experience.</li><li>
Excellent problem-solving skills and the ability to work independently on broad, sometimes ambiguous technical challenges.</li><li>
You enjoy ownership of large systems and push them forward independently</li><li>
Experience with distributed systems, Linux-based environments, networking, containers, or infrastructure automation.</li><li>
A pragmatic engineering mindset: you care about robustness, reliability, maintainability, and getting useful systems into production.</li><li>
Experience in the IoT/Robotics space is a plus</li><li>
Bonus: experience with robotics, fleet management, NATS, MongoDB, Postgres, GCP, CI/CD infrastructure, AWX, Docker, Go, NodeJS or Python.</li><li>
You are based in or around Munich and can work on-site (with option for partial home office)</li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
Our team is distributed around the world and comes from strong, diverse work and cultural backgrounds. From Google, Apple, Bosch, Lyft, and Amazon, our technical team are experts in AI, robotics, self-driving vehicles, and logistics.</p></div>

Senior Backend & Systems Engineer

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