(senior) software engineer - robotic applications

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(senior) software engineer - robotic applications Jobs in Munich

ai engineer (m/w/d)

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

ai software engineer (f/m/d)

ai software engineer - internship (f/m/d) Jobs in Munich

applied ai engineer

automotive microcontrollers fae field application engineer

NXP Semiconductors

<div><div><p>AI is rapidly moving beyond research labs and into the real world&mdash;powering advancements in vehicles, factories, hospitals, homes, 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. Through deep market insight and long ‑ term collaboration, we embed customer ‑ centricity into every decision and help accelerate innovation at the system ‑ solution level. This disciplined, client ‑ first mindset enables us to architect integrated, future ‑ ready solutions that deliver sustained value and strengthen NXP&rsquo;s competitive advantage. We thrive in a high ‑ performance, high ‑ ownership environment&mdash;competing boldly, executing with urgency, and celebrating results. If you want to win big, grow fast, and work with the customers building what&rsquo;s next, NXP Global Sales is where ambition becomes achievement.
</p><p></p><p><b>As a key member of the team of the European Automotive Customer Application </b><b>team </b><b>you will </b><b>be responsible for:
</b></p></div><div><ul><li><p>Direct interface with customer engineering and technical teams to assist the sales representatives in promoting differentiated NXP Automotive system solutions by providing technology overviews, supporting architecture and system level discussions.
</p></li></ul></div><div><ul><li><p>Support customer projects from design-in phase to production through appropriate training , board design review, configuration and support of NXP products.
</p></li></ul></div><div><ul><li><p>Collaborate and consult with internal technical support and engineering to resolve customer issues.
</p></li></ul></div><div><ul><li><p>Leverage customer meetings to gather intelligence about the customer's end product plans and relevant silicon requirements, and communicate intelligence to the product groups to participate in new products definition.
</p></li></ul></div><div><ul><li><p>Understand the competitive landscape and contribute to collateral that differentiates NXP products and system solutions.
</p></li></ul></div><div><ul><li><p>Contribute to the development of technical collateral (application notes, engineering bulletins, etc &hellip;) for our customers.
</p></li></ul></div><div><ul><li><p>Participate in technical conferences and industry shows.<br>
</p></li></ul></div><p></p><div><p><b>Your Profile
</b></p></div><div><ul><li><p>5+ years experience in technical customer facing applications role (AE/FAE) or HW/SW system development in Automotive applications
</p></li></ul></div><div><ul><li><p>Solid knowledge of embedded systems.
</p></li></ul></div><div><ul><li><p>Good knowledge of microcontrollers and embedded software.
</p></li></ul></div><div><ul><li><p>Experience with troubleshooting, diagnosing and resolving complex problems and board level issues and familiarity with basic JTAG debuggers &amp; lab equipment.
</p></li><li><p>Good skills in presenting complex technical subjects to a professional audience
</p></li><li><p>Must be professional, detailed, customer-oriented, self-driven and able to collaborate with interdisciplinary teams to meet customer needs.
</p></li></ul></div><div><ul><li><p>Languages: English, German. Excellent oral and written communication skills are essential.<br>
</p></li></ul></div><p></p><p>More information about NXP in Germany...
</p><p></p>#LI-38ff</div>

Automotive Microcontrollers FAE (Field Application Engineer)

<div><p>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.
</p><p></p><p>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.
</p><p></p><p>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.
<br>
<br>
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.
</p><p></p><p><b>Responsibilities
</b></p><ul><li><p>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.
</p></li><li><p>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.
</p></li><li><p>Design support and lab troubleshooting through schematic reviews, bench bring-up, debugging, and root-cause analysis across hardware, kernel, drivers, and middleware.
</p></li><li><p>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.
</p></li></ul><p></p><p><b>Job Qualifications
</b></p><ul><li><p>Master&rsquo;s degree in Electrical Engineering, Computer Engineering or Computer Science
</p></li><li><p>10+ years in embedded systems development or applications support of MPU / SoC-based platforms running embedded Linux, with demonstrated technical leadership.
</p></li></ul><ul><li><p>Strong embedded Linux experience across the full stack: bootloader (u-boot), kernel and device drivers, device tree, Yocto / build system, and user-space integration.
</p></li><li><p>Working knowledge of Python or scripting for tooling and automation.
</p></li><li><p>Hands-on experience with ARM Cortex-A class application processors and heterogeneous compute architectures pairing application cores with real-time microcontroller cores.
</p></li><li><p>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.
</p></li></ul><ul><li><p>Excellent verbal and written communication for both technical and non-technical stakeholders.
</p></li></ul><ul><li><p>Willingness to travel
</p></li><li><p>Fluent English required
</p></li></ul><p></p><p><b>Specialty and bonus skills
</b></p><ul><li><p>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.
</p></li><li><p>Familiarity with robotics middleware and stacks: Rust, ROS / ROS 2, DDS, real-time Linux (PREEMPT_RT), and common SLAM, navigation, and motion-planning frameworks.
</p></li><li><p>Working knowledge of platform security: TrustZone, secure boot, OP-TEE, integrated secure enclaves, and secure-element integration for authenticated robotics endpoints.
</p></li><li><p>Familiarity with power-management subsystems for application processors (PMIC integration, DVFS, multi-rail / thermal management) and battery-powered system architectures.
</p></li><li><p>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.
</p></li></ul><p></p><p>More information about NXP in Germany...
</p><p></p>#LI-38ff</div>

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

<div><div><h3 class="jobSectionHeader"><b>Business Line Description
</b></h3><p>The MCU/MPU Engineering Digital IP team defines and develops components for a wide range of products, including automotive microprocessors, application processors, microcontrollers, and networking solutions.The Munich Digital IP team focuses on the development of interface components, DSP subsystems, next-generation AI/ML cores, and RISC-V-based IP. This position is intended to strengthen the Munich team with experienced verification engineers working across multiple digital IP and subsystem domains.
</p><p></p><div><h3 class="jobSectionHeader"><b>Key Responsibilities
</b></h3><ul><li>Perform pre-silicon verification of AI/ML processing blocks, RISC-V processors, or similar digital IPs.
</li><li>Define and develop comprehensive IP verification plans based on requirements such as industry standards, product requirements, architecture, and design specifications.
</li><li>Collaborate closely with hardware, firmware, and software teams, as well as architecture and system engineering teams, to understand IP functionality and system-level use cases.
</li><li>Execute verification plans in alignment with product specifications to ensure high-quality, zero-defect IP delivery.
</li><li>Architect, develop, debug, and maintain UVM-based verification environments for RTL simulation.
</li><li>Develop testcases within appropriate verification frameworks, including stimulus generation and assertion-based verification.
</li><li>Run simulations across multiple abstraction levels (RTL, power-aware RTL, gate-level, FPGA, and emulation platforms).
</li><li>Execute regressions, analyze results, and drive closure of functional and code coverage.
</li><li>Identify issues, debug failures, and contribute to continuous improvement of verification methodologies and flows.
</li></ul></div><p></p><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Electrical Engineering, Computer Science, or a related field.
</li><li>Minimum 10 years of experience in IP or subsystem verification.
</li><li>Solid understanding of microprocessor architecture, interconnects, and cache coherency mechanisms.
</li><li>Hands-on experience with CPU verification (proprietary cores, RISC-V, or AI/ML accelerators).
</li><li><div>Experience in using AI-based tools to enhance development and verification efficiency.
</div></li><li>Strong experience in testbench development using UVM for IP, subsystems, or SoC-level verification.
</li><li>Experience with AMBA protocols (AHB, AXI, ACE, CHI) and memory systems (ROM, RAM, Flash, DDR/LPDDR).
</li><li>Advanced knowledge of Verilog, SystemVerilog, and C/C++.
</li><li>Proficiency in scripting languages such as Python, Perl, TCL, or Shell.
</li><li>Strong understanding of metric-driven verification, including functional and code coverage.
</li><li>Experience with directed and constrained-random verification methodologies.
</li><li>Working knowledge of formal verification techniques and assertion-based verification.
</li><li>Experience debugging designs in both pre-silicon (simulation/emulation) and post-silicon environments.
</li><li>Strong analytical and problem-solving skills.
</li><li>Excellent written and verbal communication skills in English.
</li><li>Basic conversational German is a plus.
</li></ul><p></p><p>Please note: The successful candidate may/will be responsible for security related tasks. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary .
</p></div></div><p></p><p>More information about NXP in Germany...
</p><p></p>#LI-3da9</div>

Principal Digital IP Verification Engineer (f/m/d)

BMW Group

<div><div><p><b>INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.</b></p><p></p><p><br>
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.</p><br>
</div><p></p><div><p>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.</p><p><b>
What awaits you?</b></p><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><p><b>
What should you bring along?</b></p><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><p>
You enjoy working in an international team and are passionate about software quality? 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 via other channels (esp. e-mail) cannot be considered.</p><p><b>
What do we offer?</b></p><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 <b>bmw.jobs/benefits</b></li></ul><p></p><p><b><br>
Start date:</b> from now on
</p><p><b>Type of employment:</b> unlimited<br>
<b>Working hours:</b> Full-time</p><p><br>
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).</p><p><br>
</p><p>You can find helpful tips on your application and the application process.</p><p>
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>
<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>185161</div>
<div>Publication Date:</div>
<div>17.04.2026</div></div>

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

Apex.AI

<div>
 <strong>
  Want to work on Software-Defined Defense?
  <br/>
 </strong>
 At Apex.AI, we develop safety-certified software for mobility systems and intelligent machines. Our products power applications in automotive, trucking, robotics, aerospace, agriculture, industrial automation, and defense systems.
 <br/>
 <br/>
 We are hiring a Senior DevOps Engineer to design and scale Apex.AI's build and release systems. You will architect and implement our build and release system solutions, which impact developer productivity company-wide and ensure that customers receive high-quality products in a timely manner.
 <br/>
 <br/>
 In this role, you will work directly with European defense customers and internal product teams to design, build, deploy, and Apex.Alan. You will help customers bring real-world systems to production while contributing improvements and features back into our core platform. Find out more about Apex.Alan here and here.
 <br/>
 <br/>
 This role is located in our Munich office. Authorization to work in Germany and German language skills are required.
 <br/>
 <br/>
 <strong>
  What You Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   B.S. or higher degree in a technical field with 5+ years of relevant work experience
  </li>
  <li>
   Proven experience working with cloud infrastructure on AWS, Azure, or GCP
  </li>
  <li>
   Proven experience maintaining a cross-platform build system
  </li>
  <li>
   Proven experience managing CI/CD pipelines
  </li>
  <li>
   Proven ability to script in Python and Starlark
  </li>
  <li>
   Proven experience developing Bazel infrastructure
  </li>
  <li>
   Proven experience building C/C++ projects with Bazel
  </li>
  <li>
   Familiarity with GitLab or GitHub
  </li>
  <li>
   Experience navigating Linux-based systems and tools in a terminal
  </li>
  <li>
   Excellent troubleshooting skills
  </li>
  <li>
   Excellent communication skills
  </li>
  <li>
   German language skills
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with infrastructure management tools such as Terraform
  </li>
  <li>
   Experience with Bazel internals
  </li>
  <li>
   Familiarity with releasing code and binaries to customers
  </li>
  <li>
   Familiarity with cross-compilation
  </li>
  <li>
   Experience with the usage of CMake
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Apex.AI is an international software company specializing in the development of safety-certified, developer-friendly, and scalable software for mobility systems, aiming to accelerate the transition to software-defined vehicles and mobility. Founded in 2017 by Jan Becker and Dejan Pangercic, the company is headquartered in Palo Alto, California, with additional offices in Munich, Stuttgart, Gothenburg, Tokyo, and Pangyo. To date, Apex.AI has raised over $75 million USD from world-class venture, financial and strategic investors including AGCO, Airbus Ventures, Canaan, Continental AG, Daimler Truck, HELLA Ventures, Jaguar Land Rover&rsquo;s InMotion Ventures, LG Electronics, Lightspeed, Orillion, Toyota Ventures, Volvo Group Venture Capital and ZF.
 <br/>
 <br/>
 The company&rsquo;s flagship product, Apex.OS, consists of two core components: Apex.Grace and Apex.Ida.
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Apex.Grace is an application runtime framework in the form of a software development kit (SDK). It provides a robust framework for developing real-time, reliable, and safe applications. Core APIs are based on ROS 2 APIs with numerous extensions enabling real-time execution, reliable performance, deployment into large fleets, system state management, safety, security, and much more. It is safety-certified to ISO 26262 ASIL D
  </li>
  <li>
   Apex.Ida is a communication middleware delivering optimal high-performance data transport across use cases. These use cases range from fully autonomous vehicles with dozens of high-resolution cameras to small signals with ultra-high frequencies in safety-critical domains. Its core is based on a shared memory data transport with connectors into DDS, SOME/IP, MQTT, CAN, and many more protocols, all abstracted into a single application-facing API
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Additionally, Apex.AI offers:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Apex.Alan provides customers with a highly optimized and efficient software integration, development environment, build, test, and delivery process
  </li>
  <li>
   Apex.OS for V&amp;V enables record and playback of very large and diverse data streams, both time- and data-deterministically, which is crucial for replay, analysis, and performance evaluation of complex autonomous systems
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Apex.AI&rsquo;s software solutions are utilized across a diverse range of industries, including automotive, agriculture, medical, and defense sectors. The products enable developers to efficiently create and deploy safe, reliable, and high-performance applications, thereby accelerating the adoption of software-defined mobility systems. Through its innovative software solutions and strategic partnerships, Apex.AI is at the forefront of transforming the mobility industry, facilitating the development of next-generation vehicles and systems.
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Senior DevOps Engineer

NVIDIA

<div><p>We are seeking a highly technical and strategic Senior Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across emerging technology domains. In this pivotal role, you will work directly with software solution providers (iSVs), developers, and professionals from the Automotive &amp; Mobility industry to foster the adoption of NVIDIA&rsquo;s advanced AI and computing platforms. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve</p><p>
complex, real-world challenges.</p><p></p><p><b>
What You'll Be Doing:</b></p><ul><li><p>
Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in Automotive &amp; Mobility, with multi-functional partners to drive adoption of NVIDIA technologies.</p></li><li><p>
Accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA stack into Enterprise developer products, platforms, and pipelines.</p></li><li><p>
Advise on the technical enablement resources&mdash;such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems in the Automotive &amp; Mobility Enterprises, such as Supply Chain optimization, Factory Digitization &amp; Automation, and/or Agent-supported Industrial Engineering</p></li><li><p>
Guide partners and startups through onboarding and integration with NVIDIA&rsquo;s programs, fostering co-innovation and the development of next-generation solutions.</p></li><li><p>
Map, track, and supervise the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.</p></li><li><p>
Collaborate multi-functionally with solution architects, engineering, product management, account managers, and marketing to drive developer engagement and optimize partner adoption strategies.</p></li><li><p>
Engage with partner engineering teams, technical leaders, and decision-makers to identify goals, tackle technical challenges, and promote best practices for successful integrations.</p></li><li><p>
Represent and advocate for the partner technical needs and feedback to NVIDIA&rsquo;s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.</p></li></ul><p></p><p><b>
What We Need to See:</b></p><ul><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field (or equivalent experience).</p></li><li><p>
A minimum of 8+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in Automotive (or similar) industry</p></li><li><p>
Proven experience leading, partnering, and scaling developer programs at major technology companies, Automotive ISVs, or within relevant verticals.</p></li><li><p>
Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or Automotive-specific frameworks and libraries (e.g., CAE/CAD, Factory simulation)</p></li><li><p>
Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives.</p></li><li><p>
Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops</p></li><li><p>
Proven ability to structure and implement sophisticated technical engagements, negotiate requirements, prioritize issues, and collaborate with internal and external stakeholders (across sales, legal, product or marketing teams as needed).</p></li></ul><p></p><p><b>
Ways to Stand Out from the Crowd:</b></p><ul><li><p>
Hands-on experience building or optimizing (advanced) solutions applicable to the Automotive industry (e.g., AI, simulation, real-time processing for Supply Chain, Industrial Engineering, Production)</p></li><li><p>
Familiarity with advanced computing, AI, and GPU acceleration platforms, libraries and models (e.g., NeMo, Physics NeMo, Omniverse, Cosmos, CUDA, CUDA-X)</p></li><li><p>
Successful history of building and scaling developer communities and delivering impactful technical enablement programs.</p></li><li><p>
Successful history of translating between technical and Executive teams in the Automotive &amp; Mobility industry</p></li></ul><p></p><p>
With competitive salaries and a generous benefits package, we are widely considered to be one of the world&rsquo;s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.</p></div><p></p>

Senior Developer Relations Manager Automotive

<div><div><p><b>INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.</b></p><p></p><p><br>
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.</p><br>
</div><p></p><div><p>With our team you collaborate with experienced AI architects and engineers to build and evolve AI platform architecture, powering Android-based infotainment and large-scale vehicle software systems.</p><p><b>
What awaits you?</b></p><ul><li>
You design and own end-to-end AI and data architectures &ndash; from data ingestion and feature pipelines to model deployment and monitoring &ndash; with a strong focus on production-grade edge AI inside the vehicle.</li><li>
Furthermore, you build scalable platform architectures that serve multiple feature teams across the Android ecosystem (e.g. digital cockpits, infotainment features), enabling them to deliver AI-powered customer experiences reliably and at scale.</li><li>
You provide technical leadership for Android Automotive and its ecosystem, ensuring that AI platform decisions align with Android evolution, AOSP constraints, and long-term platform scalability.</li><li>
In addition, you define and evolve clear interfaces between AI platforms, Android infotainment, and application development &ndash; staying compatible with new Android versions while keeping the AI infrastructure adaptable and future-proof.</li><li>
You translate emerging AI requirements into production-ready platform capabilities, bridging applied research, platform engineering, and product needs.</li><li>
You continuously drive the AI strategy for infotainment platforms, tracking key technology trends (e.g. on-device LLMs/VLMs, multimodal interaction, agentic AI) and collaborating with leading external technology partners.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
Master&rsquo;s or PhD in Computer Science, AI, Machine Learning, Data Science, or a related field, with hands-on experience in AI and data architecture beyond prototypes.</li><li>
In-depth knowledge of Android (AOSP / Android Automotive) as a production platform, including its constraints and evolution.</li><li>
Strong experience with AI architecture onboard and offboard, as well as implementation of Small Language Models, Vision Language Models, or autonomous driving models.</li><li>
Knowledge of multi-agent systems orchestration, multi-turn dialogues, and related open standards (e.g., A2A, MCP).</li><li>
Experience with AI training toolchains and workflows including pruning, fine-tuning, and multimodal encoding.</li><li>
Proficiency in Rust, C++, Kotlin, and modern, API-driven system architectures.</li><li>
Proven technical leadership experience in agile, cross-functional teams.</li></ul><p>
If you are passionate about scalable AI platforms, edge computing, and real-world impact? 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 via other channels (esp. e-mail) cannot be considered.</p><p><b>
What do we offer?</b></p><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></ul><ul><li>
Many other benefits at bmw.jobs/benefits</li></ul><p><b>
Earliest starting date:</b> from now on<br>
<b>Type of employment:</b> unlimited<br>
<b>Working hours</b>: full-time<br>
<br>
When you apply, the next steps in the selection process include an online test followed by interviews 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. Learn more here.</p></div></div>
<br><div><div>Legal Entity:</div>
<div><div>BMW AG
</div></div><div>Location:</div>
<div>Munich
</div><div>Job Field:</div>
<div>Advanced Driver Assistance Systems
</div><div>Job Id:</div>
<div>186014</div>
<div>Publication Date:</div>
<div>28.04.2026</div></div>

Senior AI Engineer for the Infotainment Platform (f/m/x)

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