autonomous systems engineer

driveblocks

<div><h4 class="jobSectionHeader"><b>Your Role</b></h4><p>
We are seeking a Solutions &amp; Deployment Engineer to deploy the driveblocks off-road autonomy stack to a broad variety of target vehicle platforms. A core responsibility of this role is to apply, monitor, and benchmark the driveblocks software in customer and internal development vehicles to achieve maximum performance. Planning and conducting investor and customer product demos is a key part of this role.<br>
<br>
As a Solutions &amp; Deployment Engineer, you are responsible for the full journey of our customers &ndash; from drafting the first technical concept to configuring, testing and deploying the software. You ensure that the driveblocks software meets the application requirements in an embedded, real time-critical environment. You ensure high performance and quality through system simulations and software component testing on-site under real-world conditions across multiple domains and countries.</p><h4 class="jobSectionHeader"><b><br>
Your Background</b></h4><p><b>
Must-Have Qualifications</b></p><br>
<ul><li>
Strong analytical skills to quickly understand customer requirements, debug application software, and familiarize with new vehicle and deployment platforms.</li><li>
Hands-on expertise in autonomous vehicles, robotics, or real-time embedded systems, with strong coding skills in C and C++.</li><li>
Experience with dockerized deployments and Linux-based operating systems</li><li>
Ability to work in a fast-paced and dynamic environment with complex technical challenges and requirements.</li><li>
Strong team-player and the ability to communicate complex technology in a clear and straight-forward way to match customer and project expectations.</li><li>
Willingness to travel on short notice to support customer pilots and deployments across domains and countries.</li><li>
Strong system-level thinking and ability to execute feature development in a fast-paced environment</li><li>
Valid German driver's license class B.</li></ul><b>
Nice-to-Have Qualifications</b><br>
<ul><li>
Familiarity with ROS2 or micro-ROS.</li><li>
Familiarity with different embedded compute units including edge accelerators.</li><li>
Experience with modern software engineering tools, including version control, continuous integration and testing as well as cloud-based development processes.</li><li>
Degree in computer science, informatics, engineering or related (Bachelor, Master, or PhD).</li></ul><p></p><h4 class="jobSectionHeader"><b>
About Us</b></h4><p>
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.<br>
<br>
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.<br>
<br>
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!</p><h4 class="jobSectionHeader"><b><br>
Working at driveblocks</b></h4><p></p><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><p></p><h4 class="jobSectionHeader"><b>
How To Apply</b></h4><p></p><ul><li>
Upload your CV and additional documents directly through our platform</li><li>
Show your unique motivation</li></ul></div><p></p>

Solutions & Deployment Engineer (m/f/d)

Manex AI

<div><h1 class="jobSectionHeader"><b>AI Software Engineer - Internship (f/m/d)</b></h1><div></div><p><b><br>
About Us</b><br>
Manex AI is on a mission to enable autonomy for the world's leading organizations, currently building the production system for the era of autonomous manufacturing. With our Seed Round raised from Lightspeed and BlueYard and leading manufacturing enterprises relying on our systems, we are now scaling fast. For our world-class team, we are looking for exceptionally driven students who want real ownership early.</p><p><b>
Your Role</b><br>
You will build the software and AI applications that power autonomous manufacturing. You work on our platform &quot;Kosmos&quot; alongside our engineers, shipping features and AI-driven solutions that go straight into live production environments at industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co.</p><p>
From your first week, you own pieces of real problems. You write code that goes into production, you see your work run inside real factories, and you learn exactly how technical decisions create measurable impact for some of the most demanding manufacturers in the world.</p><p>
For interns who deliver, this is the fastest path into a full-time engineering role.</p><p><b>
Your Responsibilities</b></p><ul><li><p>
Build software and AI application features within real customer projects</p></li><li><p>
Work alongside senior engineers to troubleshoot, document, and ship solutions</p></li><li><p>
Support the technical integration of our platform into customer environments</p></li><li><p>
Turn concrete customer requirements into working technical solutions</p></li><li><p>
Learn how production processes, IT infrastructure, and AI products come together</p></li></ul><p><b>
Your Profile</b></p><ul><li><p>
Currently studying Computer Science, Information Systems, or similar, towards the end of your Bachelor's or the start of your Master's</p></li><li><p>
Strong hands-on coding ability, proven through your own projects, ventures, or open-source work</p></li><li><p>
An ownership mindset: you take initiative, move fast, and finish what you start</p></li><li><p>
Ideally strong experience in Python, TypeScript and Docker</p></li><li><p>
Fluent in English and ideally in German as well</p></li><li><p>
Based in Munich or willing to relocate for the duration of the internship</p></li></ul><p>
We appreciate your application even if you don't tick all the boxes.</p><p><b>
What We Offer</b></p><ul><li><p>
Real ownership from day one</p></li><li><p>
A fast-track into a full-time role
</p></li><li><p>Direct mentorship from senior engineers and direct access to founders</p></li><li><p>
Hands-on experience onsite with real customers, real production systems, and frontier AI</p></li><li><p>
A fast-paced environment backed by the world's best investors, with the world's leading organizations as customers</p></li></ul><p><br>
Want to build real things at the edge of industrial AI? Apply now.</p></div>

AI Software Engineer - Internship (f/m/d)

BMW Group

<div><div><p><b>INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.</b></p><p>
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.</p><br>
</div><div><p><br>
At BMW&rsquo;s Autonomous Driving Campus, we develop and scale next-generation perception and planning systems for autonomous driving. You will build production-grade machine learning solutions using one of the industry&rsquo;s largest real-world driving datasets, powering millions of vehicles worldwide.</p><p><b>
What awaits you?</b></p><ul><li>
You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving.</li><li>
Furthermore, you co-design cutting-edge software that translates state-of-the-art research into production-ready systems at scale.</li><li>
You execute training and evaluation cycles on large-scale datasets, from data curation and representation learning to error diagnosis and model optimization.</li><li>
Additionally, you drive the integration of backbone and foundation models into BMW's autonomous driving perception and planning stack, ensuring robustness across diverse markets and operational design domains.</li><li>
You evaluate and advance state-of-the-art methods in self-supervised learning, multi-modal fusion, and end-to-end architectures for real-world deployment.</li><li>
Furthermore, you contribute across the full development lifecycle, from early-stage research prototyping to series release, with direct impact on customers worldwide.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
University degree in Computer Science, Data Science, Machine Learning, Mathematics, Physics, or comparable qualifications.</li><li>
Several years of hands-on experience in ML model development for perception, autonomous driving, or comparable vision systems, ideally in an industry setting.</li><li>
Strong knowledge of current state-of-the-art approaches in autonomous driving perception, end-to-end architectures, and foundation or backbone model architectures.</li><li>
Proven production experience with machine-learning frameworks such as PyTorch or TensorFlow, including training on large-scale datasets and programming skills in Python or C++.</li><li>
Demonstrated ownership in a mature AD/ADAS, robotics, or large-scale autonomy stack, with measurable delivery impact.</li><li>
Deep expertise in large-scale model development, including training, evaluation, error analysis, and optimisation across different ODDs and markets; experience in safety-critical or regulated environments is a plus.</li><li>
A visionary mindset with the ability to anticipate trends, challenge conventions, and drive architectural decisions for next-generation autonomous driving systems.</li></ul><p></p><p><br>
Ready to build the end-to-end driving systems that will power the world's next generation of autonomous vehicles? Apply now!</p><p>
Find out more about Artificial Intelligence at the BMW Group here.</p><p><b>
Note: </b>Please apply exclusively online via our career portal. Applications through other channels (especially email) cannot be considered.</p><p><b>
What do we offer?</b></p><ul><li>
Challenging projects with which we shape the mobility of tomorrow together.</li><li>
Wide range of personal and professional development opportunities.</li><li>
Attractive, fair and performance-related remuneration.</li><li>
High level of job security.</li><li>
Annual special payments such as vacation pay, Christmas bonus, and profit sharing.</li><li>
Flexible working hours including six weeks annual leave and overtime compensation.</li><li>
Discounted BMW &amp; MINI conditions.</li><li>
Many other benefits at bmw.jobs/benefits</li></ul><p></p><p><b><br>
Earliest starting date: </b>from now on</p><p><b>
Type of employment: </b>unlimited</p><p><b>
Working hours: </b>full-time</p><p></p><p><br>
If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person).</p><p></p><p><br>
You can find helpful tips on your application and the application process here.</p><p></p><p><br>
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.</p></div></div><p></p>
<br><div><div>Legal Entity:</div>
<div><div>BMW AG
</div></div><div>Location:</div>
<div>Munich
</div><div>Job Field:</div>
<div>Autonomous Driving
</div><div>Job Id:</div>
<div>188612</div>
<div>Publication Date:</div>
<div>29.05.2026</div></div>

Senior ML Engineer - Next-Generation Autonomous Driving (f/m/x)

Autonomous Teaming Solutions

<div><h4 class="jobSectionHeader"><b>What we offer</b></h4><p></p><ul><li>
Work in an international, agile team creating the future of autonomous systems</li><li>
Grow your career in a expanding and ambitious engineering team</li><li>
Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy</li><li>
Benefit from a steep learning curve and continuous development</li><li>
Enjoy team events and a strong, collaborative culture</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Your mission</b></h4><p></p><div>
Build real autonomous systems that operate in the real world, not in the lab.</div><div><br>
Join our engineering team and help build the core autonomy that powers our next generation robotic systems used for defense and mission-critical operations. You will design, implement, and harden robotic software that must perform under real operational conditions : outdoors, under uncertainty, with real consequences. Your work will directly shape the reliability, safety, and tactical capability of the systems we deliver.</div><div>
</div><div>
You will contribute to the development and integration of core robotic capabilities, including:</div><br>
<ul><li>
Designing and implementing robust, real-time robotics software components</li><li>
Working with multi-modal sensor data, ensuring timing, synchronization, and frame correctness</li><li>
Developing and improving algorithms in areas such as estimation, perception, planning, control, or integration</li><li>
Ensuring deterministic behavior, reliability, and system-level stability</li><li>
Debugging and validating robotic systems during field tests, under real-world constraints</li><li>
Collaborating with a cross-functional team of robotics, embedded, and domain experts</li><li>
Maintaining high engineering standards: code reviews, CI, reproducible builds, documentation</li></ul>
You will execute on real hardware and iterate based on operational performance, field results are the final metric.<p></p><h4 class="jobSectionHeader"><b>
Your profile</b></h4><p></p><p><i>
Technical Fundamentals :</i></p><ul><li><div>
Strong proficiency in modern C++ (17/20)</div></li><li><div>
Experience with ROS/ ROS 2</div></li><li><div>
Solid foundation in algorithms, data structures, and numerical methods</div></li><li><div>
Experience developing software that runs on real robots, embedded systems, or hardware-in-the-loop setups</div></li><li><div>
Comfortable working with raw sensor data (timing, noise characteristics, transforms, calibration)</div></li><li><div>
Strong debugging skills: runtime issues, latency, performance bottlenecks, integration failures</div></li><li><div>
Ability to architect clean, modular, maintainable software systems</div></li></ul><p><i>
R</i><i>obotics Foundation :</i></p><ul><li><div>
Understanding of at least one robotics domain: state estimation, perception, tracking, planning, control, sensor fusion, or integration</div></li><li><div>
Ability to reason about real-time behavior, latency budgets, and reliability requirements</div></li><li><div>
End-to-end thinking: understanding how individual modules affect the whole system</div></li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Nice to have</b></h4><p></p><ul><li>
Python for tooling or prototyping</li><li>
Experience with robotics middleware or real-time systems</li><li>
Background in optimization, filtering, or physical modeling</li><li>
Experience with embedded platforms, GPUs, or simulation tools</li><li>
We hire for core engineering ability, everything else can be learned here.</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
What else</b></h4><p></p><ul><li><div>
Builder mentality: you ship working solutions, not theoretical concepts</div></li><li><div>
Hands-on ownership: you proactively solve problems, even outside your direct scope</div></li><li><div>
Field-driven mindset: you care about what survives real operations, not &ldquo;lab perfect&rdquo;</div></li><li><div>
High quality bar: you aim for reliability, determinism, and clarity in your engineering</div></li><li><div>
Startup drive: you execute fast despite ambiguity, and adapt quickly</div></li><li><div>
Mission alignment: genuine motivation to work on defense-relevant, safety-critical robotics</div></li><li><div>
Nationality of a NATO member nation or close ally is required</div></li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p></p><p>
The world is changing. Exponential technologies are enabling new types of security threats. ATS is committed to staying ahead by building nimble, scalable, and cost-effective defences. We are looking for passionate team members who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.</p><p><b><br>
Who we are: </b>Autonomous Teaming is a defence-tech start-up specializing in machine vision solutions. Driven by cutting-edge innovation, our team works on next-generation technologies designed to meet rapidly evolving security challenges.</p><p><b><br>
What we do:</b> We develop systems that enable computers and sensors to operate as coordinated teams, collaborating in real time to counter AI-powered asymmetric threats at scale &mdash; including drone swarms and other UXVs. Our mission is to build resilient, intelligent defence capabilities that perform reliably in the most demanding environments.</p><p><b><br>
How we work: </b>We value close, in-person collaboration as the foundation for building complex, high-impact technology, while maintaining flexibility aligned to role and team needs. Our culture is built on ownership, responsibility, and trust &mdash; with a shared commitment to growing and building together.</p><p><b><br>
Where we are:</b> Based in Munich, Berlin, and Toulouse, we are expanding rapidly across Europe with plans to open additional office hubs.</p></div><p></p>

Robotics Software Engineer - Generalist (mid-level)

<div><div><p><b>INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.</b></p><p>
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.</p>
</div><div><p>From system strategy to working prototype, this role is about designing the AI architecture for the AI-defined vehicle of tomorrow. Defining how LLMs, VLAMs, End2End driving models, Foundation world models, and agent systems integrate into ADAS architectures and making sure those decisions hold up as the system scales. Your work will directly influence the onboard AI-design of the complete future ADAS system form L2+ human like driving to L4 autonomous driving.
</p><p><b>What awaits you?</b></p><ul><li>
You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments.</li><li>
Furthermore, you stay close to the code: prototypes, evaluation pipelines, and data models take shape in your hands and are consistently tested against real-world product requirements.</li><li>
You will work hand-in-hand with expert teams, applying your deep AI knowledge to co-create cutting-edge ADAS products spanning L2 to L4 autonomous driving.</li><li>
Additionally, you shape how ADAS systems interact with other AI systems within the vehicle, including future voice-based vehicle interactions.</li><li>
Also you work in an international, interdisciplinary team directly at the Autonomous Driving Campus Munich, alongside partners from the high-tech industry.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
University degree in Computer Science, Data Science, AI, Mathematics, Physics, or comparable qualifications.</li><li>
At least five years of experience developing state-of-the-art AI methods with a proven ability to translate these into production-ready system designs.</li><li>
You are both architect and practitioner: you can conceive an architectural decision and technically validate it the next day.</li><li>
Experience in complex AI or embedded systems, ideally in automotive, robotics, or other safety-critical environments.</li><li>
Strong teamwork and communication skills, as well as a proactive and independent work style to drive tasks forward autonomously.</li><li>
Solid software engineering foundation. Python and C/C++ are part of your daily work.</li><li>
Very good written and spoken English skills. Knowledge of German, both written and spoken, is an advantage.</li></ul><p>
Are you ready to shape the AI architecture of tomorrow&rsquo;s mobility with us? Apply now!</p><p>
Find out more about Artificial Intelligence at the BMW Group here.</p><p><b>
Note: </b>Please apply exclusively online via our career portal. Applications through other channels (especially email) cannot be considered.</p><p><b>
What do we offer?</b></p><ul><li>
Challenging projects with which we shape the mobility of tomorrow together.</li><li>
Wide range of personal and professional development opportunities.</li><li>
Attractive, fair and performance-related remuneration.</li><li>
High level of job security.</li><li>
Annual special payments such as vacation pay, Christmas bonus, and profit sharing.</li><li>
Flexible working hours including six weeks annual leave and overtime compensation.</li><li>
Discounted BMW &amp; MINI conditions.</li><li>
Many other benefits at bmw.jobs/benefits</li></ul><p></p><p><b><br>
Earliest starting date: </b>from now on</p><p><b>
Type of employment: </b>unlimited</p><p><b>
Working hours: </b>full-time</p><p></p><p><br>
If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person).</p><p><br>
</p><p>You can find helpful tips on your application and the application process.</p><p></p><p><br>
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.</p></div></div><p></p>
<br><div><div>Legal Entity:</div>
<div><div>BMW AG
</div></div><div>Location:</div>
<div>Munich
</div><div>Job Field:</div>
<div>Autonomous Driving
</div><div>Job Id:</div>
<div>181518</div>
<div>Publication Date:</div>
<div>19.05.2026</div></div>

Senior AI Systems Engineer (f/m/x)

Twentyfour Industries

<div><h4 class="jobSectionHeader"><b>What we&rsquo;re looking for</b></h4><p>
We are looking for a Senior Flight Software Engineer to shape the architectural design of our autonomous flight systems. In this role, you will bridge the gap between theoretical Guidance, Navigation, and Control (GNC) and production-grade software engineering. You will not simply configure existing autopilots; you will engineer the core logic that defines aircraft behavior. Your focus will be on translating complex flight dynamics and control algorithms into highly efficient, deterministic, and safety-critical C++ architectures within the autopilot (e.g. PX4/ArduPilot) ecosystem.</p><h4 class="jobSectionHeader"><b><br>
The day-to-day</b></h4><p><b>
1. GNC Algorithm Development &amp; Tuning</b></p><ul><li><b><br>
Control Laws:</b> Design and implement advanced control strategies (e.g., Adaptive PID, LQR, or Model Predictive Control - MPC) to ensure stable flight in highly dynamic and wind-disturbed environments.</li><li><b>
State Estimation:</b> Work extensively with the EKF (Extended Kalman Filter) within the flight stack to fuse data from IMUs, GNSS, Barometers, and Airspeed sensors for precise attitude and position estimation.</li><li><b>
Trajectory Planning:</b> Develop guidance logic for complex maneuvers, including path following, dynamic obstacle avoidance, and energy-efficient cruising.</li></ul><b>
2. Flight Stack Architecture (e.g: PX4 / ArduPilot)</b><br>
<ul><li><b>
Distributed GNC Strategy:</b> Architect the system logic split, determining which control loops run on the <b>Hard Real-Time</b> Flight Controller (stabilization/safety) versus the <b>High-Performance</b> Companion Computer (complex autonomy).</li><li><b>
Flight Stack Extension:</b> Modify PX4/ArduPilot firmware internals to expose custom APIs and flight modes, enabling advanced <b>Offboard Control</b> capabilities beyond standard configurations.</li><li><b>
High-Level Implementation:</b> Develop robust GNC algorithms (e.g., Trajectory Optimization, MPC) on the companion computer, ensuring low-latency synchronization with the flight core via e.g. ROS 2/DDS or MAVLink.</li></ul><b>
3. Simulation &amp; Validation</b><br>
<ul><li><b>
SITL/HITL Pipelines:</b> Understand and maintain high-fidelity Software-In-The-Loop (SITL) and Hardware-In-The-Loop (HITL) simulation environments to validate GNC logic before real flight.</li><li><b>
Flight Data Analysis:</b> Analyze complex flight logs to debug and tune the whole aircraft from the software and autonomy side.</li></ul><p></p><h4 class="jobSectionHeader"><b>
You should apply if you</b></h4><p></p><ul><li><b>
The Flight Stack:</b> Expert-level proficiency in <b>PX4 Autopilot</b> or <b>ArduPilot</b>. You must understand the architecture.</li><li><b>
GNC Fundamentals:</b> Deep understanding of rigid body dynamics, kinematics, feedback control theory, and sensor fusion math.</li><li><b>
Language:</b> Proficiency in C++ for embedded systems and Python for analysis/scripting.</li><li><b>
Embedded Systems:</b> Strong knowledge of RTOS concepts (threading, mutexes, interrupts, DMA) and bare-metal communication protocols (SPI, I2C, UART, CAN/UAVCAN).</li><li><b>
Experience:</b> 4+ years in embedded robotics or aerospace, with a specific focus on flight control.</li><li><b>
Real-world Experience:</b> Comfortable conducting outdoor flight tests, including manual piloting and GCS mission monitoring.</li></ul><p></p><h4 class="jobSectionHeader"><b>
What we offer</b></h4><p></p><ul><li><p><b>
Real impact &amp; ownership:</b> Shape high-tech defense systems and take responsibility from day one.</p></li><li><p><b>
Mission driven environment: </b>Work on technologies that matter for European security<br>
and sovereignty.</p></li><li><p><b>
Competitive package:</b> Competitive salary, EGYM Wellpass, corporate benefits, and equity options aligned with role and level.</p></li><li><p><b>
Deep tech environment:</b> Get hands-on experience with cutting-edge drone technology and real operational use cases.</p></li><li><p><b>
Grow fast: </b>Steep learning curve for juniors, strategic influence and leadership opportunities for seniors.</p></li><li><p>
 <b>Startup mindset meets defence innovation:</b> flat hierarchies, fast decisions, and space for your ideas.</p></li><li><p><b>
Flexibility:</b> Flexible hours, remote options, and relocation support.</p></li><li><p><b>
Strong team:</b> International, driven colleagues and a culture built on exchange, trust, and shared success.</p></li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
Twentyfour Industries is committed to building a fair, inclusive, and high-performance workplace where people from all backgrounds can contribute and thrive. Our team brings together individuals with different perspectives, experiences, and skills to shape the future of European security and technology.<br>
All applicants will receive equal consideration for employment regardless of gender, age, disability, ethnic or social origin, religion or belief, sexual orientation, or any other status protected by applicable European or national law.<br>
<br>
We particularly welcome applications from individuals who are underrepresented in the technology and defense sector, including women, people with disabilities, and those from diverse cultural backgrounds.<br>
<br>
We aim to provide a respectful, supportive, and transparent recruitment process. If you require adjustments to take part in our hiring process, please let us know so we can accommodate your needs.<br>
If you share our mission and are motivated to work on challenges with real-world impact, we look forward to your application.</p></div>

Senior Controls Engineer (GNC & Autonomy)

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

Explore 79+ Autonomous systems engineer in Munich this July. Find roles across top companies and apply now to boost your career.