robotics systems engineer

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

NXP Semiconductors

<div>AI is rapidly moving beyond research labs and into the real world&mdash;powering advancements in vehicles, factories, hospitals, homes, drones and everyday devices. NXP&rsquo;s Global Sales organization is the force that transforms our intelligent edge vision into meaningful market impact. We operate on the front lines of innovation, delivering real‑world AI, secure edge intelligence, and breakthrough technologies to the customers shaping tomorrow&rsquo;s world.
As a strategic partner at the intersection of customer ambition and NXP capability, our global sales team drives alignment, opens new markets, and builds the relationships that lead to design wins and revenue growth.
As part of the evolution of the European Microprocessors (MPUs) and Discrete Neural Processors Units (DNPUs) Field Application Engineering organization, we are looking for a senior FAE to support our solutions for key customers in EMEA with a focus on the robotics segment and more specifically drones.
 
 
In this role, working closely with Sales and Key Account Managers, you will act as the primary technical interface to customer engineering teams, supporting system architects and developers in defining and deploying next-generation systems.
Responsibilities
<ul><li>Provide technical leadership to sales teams and customers covering edge-compute architecture, processor selection, bring-up, and software stack integration for NXP MPU and DNPU processors targeting robotics platforms.
</li><li>Partner with customers on the design of companion computers, central compute, vision/perception subsystems, and HMI nodes &mdash; from silicon selection through Linux board bring-up, kernel/driver enablement, and system performance tuning.
</li><li>Design support and lab troubleshooting through schematic reviews, bench bring-up, debugging, and root-cause analysis across hardware, kernel, drivers, and middleware.
</li><li>Enable customer AI, vision, and sensor-fusion workloads on NXP processors and integrated NPUs, helping customers move models from training frameworks to optimized on-device inference for perception, navigation, and HMI use cases.
</li></ul>Job Qualifications
<ul><li>Master&rsquo;s degree in Electrical Engineering, Computer Engineering or Computer Science
</li><li>10+ years in embedded systems development or applications support of MPU / SoC-based platforms running embedded Linux, with demonstrated technical leadership.
</li></ul><ul><li>Strong embedded Linux experience across the full stack: bootloader (u-boot), kernel and device drivers, device tree, Yocto / build system, and user-space integration.
</li><li>Working knowledge of Python or scripting for tooling and automation.
</li><li>Hands-on experience with ARM Cortex-A class application processors and heterogeneous compute architectures pairing application cores with real-time microcontroller cores.
</li><li>Working knowledge of high-speed application-processor interfaces and how to design around them: LPDDR, PCIe, USB 3.x, MIPI-CSI / MIPI-DSI, Gigabit / Multi-Gigabit Ethernet, SDIO / eMMC, and QSPI.
</li></ul><ul><li>Excellent verbal and written communication for both technical and non-technical stakeholders.
</li></ul><ul><li>Willingness to travel
</li><li>Fluent English required
</li></ul>Specialty and bonus skills
<ul><li>Hands-on experience enabling AI / ML workloads on edge processors and integrated NPUs, including model conversion and optimization from common training frameworks to on-device inference for robotics perception.
</li><li>Familiarity with robotics middleware and stacks: Rust, ROS / ROS 2, DDS, real-time Linux (PREEMPT_RT), and common SLAM, navigation, and motion-planning frameworks.
</li><li>Working knowledge of platform security: TrustZone, secure boot, OP-TEE, integrated secure enclaves, and secure-element integration for authenticated robotics endpoints.
</li><li>Familiarity with power-management subsystems for application processors (PMIC integration, DVFS, multi-rail / thermal management) and battery-powered system architectures.
</li><li>Working knowledge of functional safety (ISO 26262, IEC 61508 / SIL 2&ndash;3) and cybersecurity (ISO 21434, IEC 62443) standards relevant to industrial and automotive edge-compute systems.
</li></ul>More information about NXP in Germany...
#LI-38ff</div>

Senior Field Application Engineer (FAE) - MPU & DNPU – Robotics/Drones

NEURA Robotics

<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">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)

Cartken

<div><h4 class="jobSectionHeader">Who we are</h4>
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.
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.
You can read more about Cartken here.<h4 class="jobSectionHeader"> 
Our mission</h4>
We streamline short-distance material transport through cost-efficient and flexible autonomous robotics.<h4 class="jobSectionHeader"> 
Why join us</h4><ul><li>
We&rsquo;re passionate about applying state-of-the-art technology to solve real-world problems and become the brains behind an automation revolution</li><li>
We&rsquo;re fast and thrive on making an impact</li><li>
You get to work with a diverse team of super talented people across USA and Germany</li><li>
You&rsquo;ll also get to build a growing startup and by default do and learn a tonne</li></ul><h4 class="jobSectionHeader"> 
What you'll do</h4><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><h4 class="jobSectionHeader"> 
What you bring</h4><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><h4 class="jobSectionHeader">
About us</h4>
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.</div>

Senior Backend & Systems Engineer

<div>
 
 Who We Are
 
 
 
 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.
 
 
 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.
 
 
 You can read more about Cartken here.
 
 
 
 Our mission
 
 
 
 We streamline short-distance material transport through cost-efficient and flexible autonomous robotics.
 
 
 
 Why join us
 
 
 
 <ul>
 <li>
 We&rsquo;re passionate about applying state-of-the-art technology to solve real-world problems and become the brains behind an automation revolution
 </li>
 <li>
 We&rsquo;re fast and thrive on making an impact
 </li>
 <li>
 You get to work with a diverse team of super talented people across USA and Germany
 </li>
 <li>
 You&rsquo;ll also get to build a growing startup and by default do and learn a tonne
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <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>
 
 What You Bring
 
 
 
 <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>
 
 About Us
 
 
 
 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.
</div>

driveblocks

<div><h4 class="jobSectionHeader">Your Role</h4>
As an Expert Perception Data Engineer you scale the data workflows that power the next-generation of off-road autonomy systems. You own the full data lifecycle from ingestion and curation to automated scenario mining, dataset generation, embeddings-based retrieval, and validation workflows. 
 
In this hands-on engineering role, your designs and implementations have a critical impact on enabling the robust and safe performance of our software in challenging off-road conditions. Your main tasks are: 
<ul><li>
Designing and scaling large-scale perception data pipelines for terabytes of incoming multimodal sensor data.</li><li>
Developing automated dataset curation and scenario mining systems for edge cases and safety-critical situations.</li><li>
Building embeddings-based retrieval and semantic search pipelines for perception data selection and analysis.</li><li>
Maintain tooling for dataset versioning, metadata management, annotation orchestration, and quality assurance to meet certification requirements.</li><li>
Improving infrastructure for high-throughput data processing, cloud-native workflows, and distributed compute pipelines.</li><li>
Driving automation around data operations, labeling processes, and deployment feedback loops from field operations.</li></ul><h4 class="jobSectionHeader">
Your Background</h4><ul><li>
6+ years of professional experience building large-scale data processing systems for machine learning or robotics applications</li><li>
Strong software engineering skills in Python and/or C++</li><li>
Experience working with multimodal sensor data such as camera, lidar, and radar</li><li>
Familiarity with dataset management tooling, embeddings, vector databases, semantic retrieval, and similarity search systems</li><li>
Strong ownership mindset and the ability to work independently in a fast-moving engineering environment</li><li>
Strong communication skills and the ability to explain complex technical topics clearly across engineering and customer-facing teams</li><li>
Degree in computer science, robotics, engineering or a related field(Bachelor, Master, or PhD)</li></ul>
We understand that not everyone will meet all the criteria! If you see yourself in these points, we&rsquo;d love to learn more about you!<h4 class="jobSectionHeader">
About Us</h4>
driveblocks develops off-road ground autonomy that works under harsh and challenging conditions. We build systems designed for operation in 3D terrain, vegetation, and heavy dust and dirt, where 100% reliability is core to success, even in GNSS-denied environments. 
 
Working with multiple OEM partners across agriculture, construction, and defense, our focus is to deliver value to vehicle operators and solve the toughest challenges when deploying Physical AI in real world applications. Every deployment helps us to gather the operational data required to build the next generation of reliable and safe autonomous driving systems. 
 
From our office in Munich, we operate as a focused, highly ambitious team with deep expertise in autonomy, Physical AI, and embedded software engineering. We move quickly and set high standards. If you want to build autonomy that is deployed, tested, and operated in the field - we&rsquo;d love to hear from you!<h4 class="jobSectionHeader"> 
Working at driveblocks</h4><ul><li>
Ownership of your work &ndash; Take responsibility for the full value chain</li><li>
Competitive Compensation &amp; Benefits</li><li>
Participate in driveblocks&rsquo; success via a Virtual Stock Option Plan</li><li>
Flexible working hours</li></ul><h4 class="jobSectionHeader">
How To Apply</h4><ul><li>
Upload your CV and additional documents</li><li>
Show your unique motivation</li></ul></div>

Expert Perception Data Engineer (m/f/d)

Explore 64+ Robotics systems engineer in Munich this July. Find roles across top companies and apply now to boost your career.

64 robotics systems engineer jobs In Munich

Staff Robotics Software Engineer - Grasping

Senior Field Application Engineer (FAE) - MPU & DNPU – Robotics/Drones

Robotic Foundation Model Engineer – RoboGym (Human)

Teamlead AI Engineering - RoboGym (human)

Senior Backend & Systems Engineer

Senior Backend & Systems Engineer

Expert Perception Data Engineer (m/f/d)