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senior software engineer

simulation model engineer

Exploration GmbH

<div>Here at The Exploration Company, we are developing, producing, and operating Nyx, a modular and reusable space orbital vehicle that can eventually be refuelled in orbit and that can carry cargo - and potentially humans in the longer run.
To support this ambitious goal, we are seeking a HiL Software Developer to join our Avionics Test Team in Munich. You will be responsible for the design, implementation, integration, and validation of software models and tooling used in Hardware-in-the-Loop (HiL) testing activities for Nyx avionics systems.
You will play a key role in developing high-fidelity simulation environments and integrating software models into National Instruments-based test infrastructures, working closely with GNC, Flight Software, Avionics, and Mission Operations teams to support verification and validation campaigns.<h2 class="jobSectionHeader">
Key Responsibilities</h2>
In your role as HiL Software Developer, you will:<ul><li>
Design, implement, and test C++-based software models for Hardware-in-the-Loop (HiL) testing of Nyx avionics systems</li><li>
Develop and maintain software tooling supporting simulation and test activities</li><li>
Integrate software models into National Instruments hardware infrastructures</li><li>
Collaborate with GNC, Flight Software, Avionics, and Mission Operations teams to ensure the required level of model fidelity</li><li>
Support and participate in verification and validation test campaigns</li><li>
Contribute to debugging, troubleshooting, and continuous improvement of simulation and test environments</li><li>
Create and maintain technical documentation related to software models, test setups, and development processes</li></ul><h2 class="jobSectionHeader">
You and your team will be in charge of:</h2><ul><li>
Developing and maintaining software simulation models supporting avionics verification activities</li><li>
Ensuring accurate representation of system behavior within HiL environments</li><li>
Integrating simulation software with National Instruments test platforms</li><li>
Supporting system-level validation through participation in test campaigns</li><li>
Collaborating across engineering disciplines to ensure consistency between simulation models and system requirements</li><li>
Contributing to the continuous evolution of our HiL infrastructure, with an emphasis on reliability, scalability, and maintainability</li><li>
Ensuring software quality through structured development, testing, and validation processes</li></ul><h2 class="jobSectionHeader">
Must-Have Skills and Qualifications</h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Electrical Engineering, Computer Science, Aerospace Engineering, or a related field</li><li>
Proficiency in Python and C/C++</li><li>
Experience in software development for simulation, testing, or embedded systems</li><li>
Familiarity with software testing methodologies and simulation tools</li><li>
Strong analytical, debugging, and problem-solving skills</li><li>
Fluent in English, with excellent written and verbal communication skills</li><li>
Proven ability to collaborate across disciplines, drive initiatives, and deliver in a high-paced environment</li></ul><h2 class="jobSectionHeader">
Nice-to-Have Skills</h2><ul><li>
Experience with LabVIEW</li><li>
Experience with Hardware-in-the-Loop (HiL) testing environments</li><li>
Familiarity with National Instruments hardware and software ecosystems</li><li>
Experience with Bazel</li><li>
Experience with CI/CD pipelines and build systems</li><li>
Knowledge of aerospace, avionics, or space systems development environments</li></ul>
Why you should join us!
What makes us special here at The Exploration Company and why we think you will enjoy working here is:<ul><li>
We&rsquo;re Agile - we make decisions fast whilst keeping our goals and systems in mind</li><li>
We&rsquo;re Open and Collaborative - we are transparent about risks and obstacles, so that we can cooperate to overcome them</li><li>
We have a lot of Fun - we refuel our energy knowing we are democratising space. It&rsquo;s a wonderful and rare opportunity, are YOU up for the challenge?</li></ul>
We'd love to hear from you if you wish to be a part of our journey. Please submit your CV now for immediate consideration and we will be in touch shortly. 
 
The Exploration Company is an equal opportunity employer and values diversity. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Relocation assistance is provided for those willing to relocate including visa sponsorship where applicable. 
 
All offers are contingent upon the successful completion of a background check, which will be subject to the country, role, and project you applied for. By submitting your application, you acknowledge and agree that any offer of employment may be conditional upon successful condition of this check. The Exploration Company partners with Zinc Work Limited located in the UK (Zinc), a third-party provider, to ensure this process as efficient and transparent as possible.
 
 
If applicable, you will receive an email from Zinc upon acceptance of your offer with a link to a secure portal where you can provide the required information to Zinc. 
 
Compensation Range: &euro;65K - &euro;82.5K</div>

Simulation Model Engineer

NEURA Robotics

<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)

<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)

Twentyfour Industries

<div><h4 class="jobSectionHeader">What we&rsquo;re looking for</h4>
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.<h4 class="jobSectionHeader"> 
The day-to-day</h4>
1. GNC Algorithm Development &amp; Tuning<ul><li> 
Control Laws: 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>
State Estimation: 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>
Trajectory Planning: Develop guidance logic for complex maneuvers, including path following, dynamic obstacle avoidance, and energy-efficient cruising.</li></ul>
2. Flight Stack Architecture (e.g: PX4 / ArduPilot) 
<ul><li>
Distributed GNC Strategy: Architect the system logic split, determining which control loops run on the Hard Real-Time Flight Controller (stabilization/safety) versus the High-Performance Companion Computer (complex autonomy).</li><li>
Flight Stack Extension: Modify PX4/ArduPilot firmware internals to expose custom APIs and flight modes, enabling advanced Offboard Control capabilities beyond standard configurations.</li><li>
High-Level Implementation: 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>
3. Simulation &amp; Validation 
<ul><li>
SITL/HITL Pipelines: 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>
Flight Data Analysis: Analyze complex flight logs to debug and tune the whole aircraft from the software and autonomy side.</li></ul><h4 class="jobSectionHeader">
You should apply if you</h4><ul><li>
The Flight Stack: Expert-level proficiency in PX4 Autopilot or ArduPilot. You must understand the architecture.</li><li>
GNC Fundamentals: Deep understanding of rigid body dynamics, kinematics, feedback control theory, and sensor fusion math.</li><li>
Language: Proficiency in C++ for embedded systems and Python for analysis/scripting.</li><li>
Embedded Systems: Strong knowledge of RTOS concepts (threading, mutexes, interrupts, DMA) and bare-metal communication protocols (SPI, I2C, UART, CAN/UAVCAN).</li><li>
Experience: 4+ years in embedded robotics or aerospace, with a specific focus on flight control.</li><li>
Real-world Experience: Comfortable conducting outdoor flight tests, including manual piloting and GCS mission monitoring.</li></ul><h4 class="jobSectionHeader">
What we offer</h4><ul><li>
Real impact &amp; ownership: Shape high-tech defense systems and take responsibility from day one.</li><li>
Mission driven environment: Work on technologies that matter for European security 
and sovereignty.</li><li>
Competitive package: Competitive salary, EGYM Wellpass, corporate benefits, and equity options aligned with role and level.</li><li>
Deep tech environment: Get hands-on experience with cutting-edge drone technology and real operational use cases.</li><li>
Grow fast: Steep learning curve for juniors, strategic influence and leadership opportunities for seniors.</li><li>
 Startup mindset meets defence innovation: flat hierarchies, fast decisions, and space for your ideas.</li><li>
Flexibility: Flexible hours, remote options, and relocation support.</li><li>
Strong team: International, driven colleagues and a culture built on exchange, trust, and shared success.</li></ul><h4 class="jobSectionHeader">
About us</h4>
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. 
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. 
 
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. 
 
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. 
If you share our mission and are motivated to work on challenges with real-world impact, we look forward to your application.</div>

Senior Controls Engineer (GNC & Autonomy)

BMW Group

<div><div>INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. 
At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together. 
</div><div>Our platform teams build AI-based toolchains that simulate, reprocess and train models on petabyte-scale automotive data &ndash; and we increasingly rely on agentic AI to operate, maintain and improve these toolchains. The glue that makes agents effective is context: the right knowledge, delivered at the right time, in the right shape. We are looking for an engineer who can design and evolve the knowledge-management and context-engineering backbone that powers both our product (an inter-domain multi-agent vehicle system) and our internal development toolchain.
What awaits you?<ul><li>
You design and operate knowledge graphs and graph databases that capture domain knowledge, toolchain topology, operational incidents, root-cause analyses and lessons learned &ndash; enabling graph-based retrieval across the organization.</li><li>
Further, you build context-engineering pipelines that dynamically assemble, rank and budget the information supplied to LLM-based agents.</li><li>
Also, you implement feedback loops: coding agents and skills that interact with our toolchain log outcomes, diagnose failures and write findings back into the knowledge graph, making the system progressively more capable.</li><li>
It is your responsibility to develop and maintain ontologies and semantic models for the automotive AI domain &ndash; sensor configurations, simulation scenarios, data-pipeline topology, model lineage &ndash; ensuring consistent vocabulary across teams and tools.</li><li>
You architect agent memory systems (working, episodic, semantic) with appropriate consolidation and retention mechanisms so that long-running agent sessions retain useful experience without context-window bloat.</li><li>
In addition, you evaluate and optimise retrieval quality using relevance, coverage, freshness and redundancy metrics, and run experiments comparing retrieval strategies (dense, sparse, graph, hybrid).</li><li>
You contribute to cost-efficient model selection and context-compression strategies (prompt compression, semantic caching, model routing) to keep latency low and budgets sustainable at scale.</li></ul>
What should you bring along?<ul><li>
University degree in Computer Science, Information Science, AI/ML, or a related field.</li><li>
1-3 years of professional experience in knowledge management, knowledge-graph engineering or context engineering for AI/LLM systems.</li><li>
Expert-level programming skills in at least one high-level language (C++, Java, Kotlin or Python).</li><li>
Proficiency in AI-assisted development using coding agents such as Claude Code, GitHub Copilot or OpenCode.</li><li>
Hands-on experience building and querying knowledge graphs (RDF/SPARQL or property graphs) and integrating them with LLM-based retrieval (e.g. GraphRAG, hybrid search).</li><li>
Experience with systems design, particularly for knowledge-intensive or retrieval-heavy architectures.</li><li>
Familiarity with agent memory architectures, ontology design, semantic modelling, graph-based analytics, entity resolution or knowledge-graph embeddings.</li></ul>
You enjoy working in an international team and are passionate about software quality? Apply now!
Find out more about Artificial Intelligence at the BMW Group here.
Note: Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
What do we offer?<ul><li>
Challenging projects with which we are shaping 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 6 weeks annual leave and overtime compensation.</li><li>
Discounted BMW &amp; MINI conditions.</li><li>
Many other benefits at bmw.jobs/benefits</li></ul> 
Start date: from now on
Type of employment: unlimited 
Working hours: Full-time 
If you apply, the next stages of the recruiting process include an online test followed by technical interviews with the hiring manager (either virtual or in person). 
You can find helpful tips on your application and the application process.
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.</div></div>
 <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>185161</div>
<div>Publication Date:</div>
<div>17.04.2026</div></div>

Validation Engineer - Context, Semantics & Memory (f/m/x)

Infineon Technologies

<div>#WeAreIn for jobs that impact everyone's life. What if your ideas could change the way the world connects, powers up, or thinks? As a Senior Staff Engineer Circuit Simulator Frontend Development on our Research &amp; Development team, you'll have the opportunity to merge creativity with your technical expertise by shaping the future of technology, driving groundbreaking projects, and bringing new ideas to life. Are you in?
 
 
Your Role 
 
Key responsibilities in your new role 
<ul><li>
Develop a frontend for Infineon&rsquo;s in-house analog circuit simulator</li><li>
Develop and constantly optimize the simulator&rsquo;s schematic editor and wave form viewer to achieve maximum performance, widen its feature set while keeping its maintainability</li><li>
Improve existing frontend software modules including refactoring and maintenance of existing code</li><li>
Support our worldwide user community</li><li>
Write technical documentation</li><li>
Participate in EU-funded projects that are actively pursuing topics relevant to Infineon-internal simulation communities</li></ul> 

Your Profile 
 
Qualifications and skills to help you succeed 
 
As a Senior Staff Engineer Circuit Simulator Frontend Development, you recognize and seize potential for improving efficiency with dedication. Futhermore, you demonstrate strong communication skills and know how to establish lasting relationships and networks. Lastly, you cooperate across boundaries and appreciate the contributions of other people. 
<ul><li>
A degree in Computer Science or Electrical Engineering or related areas</li><li>
Minimum 5 years of work experience in GUI software development or electronic design automation (EDA) area or a related technical area</li><li>
Very good programming skills with focus on Qt and C++/C in a Windows and UNIX environment</li><li>
Very good knowledge about UI development environments, libraries (e.g., Boost, &hellip;), build environments (CMake, QMake&hellip;), parsers/scanners(bison, flex, &hellip;) and interpreted programing languages (Python, Perl, &hellip;)</li><li>
Some hands-on experience with analog circuit design and simulation, ideally also familiarity with other simulators such as LTspice, SIMetrix, PSpice, etc. is a benefit</li><li>
In the best case, already previous experience in frontend development for a circuit simulator</li><li>
Familiarity with agile software development techniques</li><li>
Fluent English skills with German seen as a plus</li></ul> 

Contact: 
 Darana Andrade 
#WeAreIn for driving decarbonization and digitalization. 
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. 
Are you in? 
 
We are on a journey to create the best Infineon for everyone. 
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant&acute;s experience and skills. Learn more about our various contact channels. 
We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting. 
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process. 
Click here for more information about Diversity &amp; Inclusion at Infineon.</div>

Senior Staff Engineer Circuit Simulator Frontend Development (f/m/div)

JetBrains

<div>
 At JetBrains, code is our passion. Ever since we started, back in 2000, we&rsquo;ve been striving to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs.
 
 
 We&rsquo;re building multi-step coding agents that can understand large codebases, plan changes, call tools, and iterate with the user. As a Research Engineer in the Agentic Models team, you&rsquo;ll be responsible for the models, training loops, and evaluation pipelines that power these agents.
 
 
 You&rsquo;ll work at the intersection of SFT and RL-style post-training, and product-driven evaluation, using our distributed GPU and MapReduce clusters to ship models into JetBrains products.
 
 
 
 As Part Of Our Team, You Will
 
 
 
 <ul>
 <li>
 Design, implement, and maintain SFT and RL post-training pipelines for multi-step coding agents.
 </li>
 <li>
 Train and adapt LLMs for agent workflows, including planning, tool use, and multi-step interactions inside JetBrains IDEs.
 </li>
 <li>
 Build and develop evaluation and simulation environments where coding agents can act, be measured, and compared on realistic developer tasks.
 </li>
 <li>
 Design evaluation frameworks and metrics for agent behavior, analyze traces and logs, and close the loop from evaluation back into training, data, and reward design.
 </li>
 <li>
 Analyze training and evaluation results to propose and implement improvements to model architectures, training recipes, and datasets.
 </li>
 <li>
 Work with large-scale infrastructure, including distributed training on GPU clusters and large MapReduce-style data processing for pre-training and fine-tuning datasets.
 </li>
 <li>
 Collaborate closely with research, product, and infrastructure teams to turn high-level product visions into concrete models, experiments, and shipped features.
 
 
 </li>
 </ul>
 We&rsquo;ll be happy to bring you on board if you have:
 
 
 <ul>
 <li>
 Extensive hands-on experience training LLMs (pre-training, fine-tuning, or post-training) in a research or production setting.
 </li>
 <li>
 Deep expertise in modern deep learning frameworks such as PyTorch, and specialized LLM training stacks (e.g. Megatron, NeMo, verl, or similar).
 </li>
 <li>
 Strong theoretical and practical understanding of LLM fundamentals: architectures, tokenization, data pipelines, batching, mixed precision, distributed training, and debugging unstable runs.
 </li>
 <li>
 The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
 </li>
 <li>
 A product-aware mindset &ndash; you care about how developers actually use agents and can translate product needs and failure modes into modeling and evaluation work.
 </li>
 <li>
 At least 3 years of Python experience writing clean, maintainable code in modern ML codebases.
 
 
 </li>
 </ul>
 
 Our Ideal Candidate Would Have Experience With
 
 
 
 <ul>
 <li>
 ML orchestrators and workflow tools such as Kubeflow, Dagster, Airflow, ZenML, and/or job schedulers like Kubernetes or SLURM.
 </li>
 <li>
 Large-scale data and training pipelines, e.g. MapReduce-style clusters, multi-node GPU training, or workloads on the order of 1M+ CPU/GPU hours.
 </li>
 <li>
 Designing and maintaining evaluation pipelines for LLMs or agents, including metrics, dashboards, experiment tracking, and automated regression checks.
 </li>
 <li>
 AI agent development, such as tool-using agents, planners, or multi-step coding workflows, and familiarity with agentic frameworks or patterns.
 </li>
 <li>
 Experiment tracking and observability using tools like Weights &amp; Biases, MLflow, Langfuse, or similar.
 </li>
 <li>
 Inference optimization and serving optimized models in production.
 
 
 </li>
 </ul>
 
 We are an equal opportunity employer
 
 
 
 We know great ideas can come from anyone, anywhere. That&rsquo;s why we do our best to create an open and inclusive workplace &ndash; one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
 
 
 
 We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
 
 
 
</div>

Research Engineer (Agentic Models)

Explore 92+ Simulation model engineer in Munich this July. Find roles across top companies and apply now to boost your career.