systems engineer

Cartken

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

Senior Backend & Systems Engineer

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


Navflex

<div><p><b>Non‑negotiables for this role</b></p><ul><li><p>
3+ years hands-on programming of SICK safety controllers using SICK Safety Designer (professional, production use).</p></li><li><p>
Electrical Engineering background with strong hands-on commissioning / troubleshooting on real vehicles.</p></li><li><p>
Confident Python programming and ability to read and debug existing Python code (integration of safety system with application logic).</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
About Navflex</b></h1><p>
Navflex builds autonomous mobile robots (AMRs) that operate in real warehouse and dock environments where safety, uptime, and reliability are mission-critical. Our robots must perform safely around people, forklifts, and mixed traffic while delivering measurable efficiency improvements for customers.</p><p></p><h1 class="jobSectionHeader"><b>
Role Overview</b></h1><p>
As our Senior Functional Safety &amp; Safety Controls Engineer, you will own the end-to-end safety implementation on our mobile robotic platforms &mdash; from safety concept and risk assessment through hands-on implementation in SICK safety controllers and validation on the vehicle. You will work on the robot every day, iterate quickly, and ensure our safety behavior remains correct as platforms, sensors, and use cases evolve.</p><p>
This role is highly hands-on and combines functional safety engineering with real-world safety controller programming and software integration. You will collaborate closely with robotics software (navigation/perception/control), electrical and mechanical engineering, and field operations to deliver safety solutions that scale across platforms and deployments.</p><p></p><h1 class="jobSectionHeader"><b>
What You Will Own</b></h1><ul><li><p>
Safety controller architecture and implementation across Navflex AMR/AGV platforms, with a strong focus on SICK safety controllers.</p></li><li><p>
Day-to-day development, commissioning, troubleshooting, and versioned configuration management of SICK Safety Designer projects.</p></li><li><p>
Safety integration points between the safety controller and the robot application stack (status, modes, field switching, diagnostics), including Python-based tooling/software components.</p></li><li><p>
Safety verification and validation on the vehicle, including test planning, execution, evidence capture, and documentation maintenance.</p></li><li><p>
Support for certifications, audits, and customer/site acceptance related to machinery safety and mobile robot standards (e.g., ISO 3691-4, ISO 13849).</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Key Responsibilities</b></h1><h2 class="jobSectionHeader"><b>
Safety concept, risk assessment, and requirements</b></h2><ul><li><p>
Lead and continuously maintain risk assessments for our vehicles and operating modes (e.g., autonomous, manual, service/maintenance) and derive safety requirements and safety functions.</p></li><li><p>
Translate safety requirements into an implementable safety concept and safety controller design, including safety I/O definitions, sensor coverage strategy, and safe-state behavior.</p></li><li><p>
Define required Performance Levels (PLr) / SIL targets for safety functions and maintain traceability from hazards safety requirements implementation verification evidence.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
SICK safety controller programming (SICK Safety Designer)</b></h2><ul><li><p>
Design, implement, and maintain safety logic in SICK safety controllers using SICK Safety Designer, including diagnostics and safe-state handling.</p></li><li><p>
Commission and troubleshoot safety systems on real robots: wiring verification, signal integrity, scanner/encoder configuration, safety I/O checks, and fault analysis.</p></li><li><p>
Build a maintainable configuration strategy across product variants: reusable modules, clear naming conventions, version control, and release/deployment procedures for safety configurations.</p></li><li><p>
Implement and validate common AMR/AGV safety behaviors such as emergency stop, protective stop, speed reduction, safe direction, safe speed monitoring, and field set switching (as applicable to the platform).</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Vehicle integration and Python-based software interfaces</b></h2><ul><li><p>
Own the integration of safety controller status and commands with the robot application stack while preserving correct separation between safety-rated and non-safety functions.</p></li><li><p>
Develop and maintain Python-based tooling/modules that interface with the safety controller (e.g., configuration deployment helpers, log collection, diagnostics, automated reports, or integration services).</p></li><li><p>
Work with robotics software engineers to pinpoint root causes across the stack (safety controller, sensors, network, application logic) and drive issues to resolution.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Verification, validation, and documentation</b></h2><ul><li><p>
Create and execute safety verification and validation plans for new features, new platform types, and customer-specific operating domains; document results clearly and reproducibly.</p></li><li><p>
Maintain safety documentation throughout the lifecycle: safety concept, risk assessment, safety requirements, verification/validation evidence, change logs, and customer-facing documentation as needed.</p></li><li><p>
Support internal design reviews and external assessments (e.g., notified bodies, T&Uuml;V, customer audits) with well-structured technical files and evidence packs.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Cross-functional leadership and operations support</b></h2><ul><li><p>
Partner with hardware, mechanical, and software engineering to ensure safety is designed-in from early development through production and field deployment.</p></li><li><p>
Support early deployments and customer transitions by diagnosing safety-related field issues, recommending design changes, and improving robustness.</p></li><li><p>
Contribute to continuous improvement of safety processes (templates, checklists, test automation, change control) so safety scales with fleet growth.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Required Qualifications</b></h1><ul><li><p>
Bachelor&rsquo;s degree (or higher) in Electrical Engineering or a closely related field.</p></li><li><p>
3+ years of substantial, hands-on experience programming SICK safety controllers using SICK Safety Designer (including commissioning and troubleshooting on real machines/vehicles).</p></li><li><p>
3+ years of experience implementing functional safety solutions for industrial automation, robotics, or mobile machines; strong familiarity with safety lifecycle thinking (hazard analysis requirements implementation verification).</p></li><li><p>
Strong working knowledge of relevant safety standards and methods; ideally ISO 3691-4 for AGVs/AMRs, and/or ISO 13849-1 / IEC 62061.</p></li><li><p>
Practical experience with safety sensors and safety circuits (e-stops, safety laser scanners, safety encoders, safety I/O, interlocks).</p></li><li><p>
Confident Python programming skills and ability to read/debug production Python code in a multi-component robotics system.</p></li><li><p>
Comfortable working hands-on with hardware in a lab/warehouse environment and iterating quickly based on test results.</p></li><li><p>
Fluent English (German is a strong plus).</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Preferred Qualifications</b></h1><ul><li><p>
Demonstrated experience implementing safety solutions for AGVs/AMRs specifically aligned with ISO 3691-4 (from concept through validation).</p></li><li><p>
Experience with PL/SIL calculations and tooling (e.g., SISTEMA) and building safety evidence packs/technical files for CE marking.</p></li><li><p>
Knowledge of safe communications / fieldbuses commonly used with safety systems (e.g., CIP Safety, PROFIsafe) and industrial networking fundamentals.</p></li><li><p>
Experience working with mobile robot software stacks (e.g., ROS/ROS 2, Linux, networking, log analysis) and collaborating with navigation/perception/control teams.</p></li><li><p>
T&Uuml;V Functional Safety certification (or similar) and/or experience working directly with notified bodies and third-party test labs.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Tools &amp; Environment</b></h1><ul><li><p>
SICK Safety Designer (must-have); experience with Flexi Soft ecosystems is highly relevant.</p></li><li><p>
Safety-rated sensors and components (safety laser scanners, safety encoders, safety I/O, safety relays/contactors).</p></li><li><p>
Python, Git, and modern engineering workflows (issue tracking, code reviews, CI where applicable).</p></li><li><p>
Hands-on vehicle testing and commissioning in a robotics lab / customer-like environments.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What Success Looks Like</b></h1><ul><li><p>
Safety configurations are reliable, diagnosable, and managed like product software: versioned, reviewable, testable, and deployable.</p></li><li><p>
New platform types and customer operating domains can be supported quickly with clear safety requirements, robust implementations, and repeatable validation procedures.</p></li><li><p>
Safety-related issues are investigated efficiently across the full stack (sensors safety controller integration application logic), leading to rapid root-cause identification and corrective actions.</p></li><li><p>
Documentation and evidence are continuously maintained so audits and certifications are predictable rather than disruptive.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What We Offer</b></h1><ul><li><p>
A highly hands-on role with real robots, real customer environments, and direct impact on product safety and reliability.</p></li><li><p>
High ownership: you will shape how safety engineering is executed and scaled across our platform portfolio.</p></li><li><p>
A collaborative, international engineering team with fast iteration cycles and a strong focus on solving real-world logistics problems.</p></li><li><p>
Competitive compensation and benefits aligned with market standards for senior engineering roles in Munich.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Equal Opportunity</b></h1><p>
Navflex is committed to building an inclusive workplace. We evaluate qualified applicants without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status.</p></div>

Senior Functional Safety Engineer/Safety Systems Engineer

NXP Semiconductors

<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

SKD SE

<div><div><div><div>Munich</div><div>
Full-time</div><div>
Permanent employee</div></div></div>
<p></p>
<div><div><h2 class="jobSectionHeader"><b>About Us</b></h2><div><p>
STARK is a new kind of defence technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop, and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective &mdash; providing operators with a decisive edge in contested environments.</p><p>
We are focused on delivering deployable, high-performance systems &mdash; not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe, today.</p></div></div><div><h2 class="jobSectionHeader"><b>
Your mission</b></h2><div>
You'll be the technical glue holding together a fast-moving hardware and payload integration environment. The person who turns parallel engineering workstreams into one working system instead of seven disconnected ones. Acting as direct technical counterpart to our integration lead, you'll bring process discipline and hands-on execution to a function that's still being built. This is not a coordination role with a PowerPoint deck attached, it's a seat at the bench, with the authority and technical credibility to make decisions stick.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><div><ul><li><p>
Own day-to-day technical integration across hardware, payload, and embedded subsystems, working directly with engineering teams to resolve interface conflicts as they arise.</p></li><li><p>
Apply discipline across integration activities, maintaining traceability between requirements, design, and verification.</p></li><li><p>
Translate requirements and constraints between hardware, software, payload, and systems engineering teams, closing ambiguity at the interfaces rather than escalating it.</p></li><li><p>
Identify and resolve technical dependencies across teams before they become integration blockers, not after.</p></li><li><p>
Introduce structure, documentation, and change control into an integration function that doesn't have it yet, without freezing the speed the program needs.</p></li><li><p>
Work hands-on with engineers on the test floor and at the bench when a problem needs solving in person, not via status update.</p></li><li><p>
Act as a technical sparring partner to the integration lead, sharing context and pressure-testing decisions across the integration scope.</p></li><li><p>
Shape the build-out of the wider integration team, contributing to role definition and technical interviewing as the team scales.</p></li><li><p>
Report integration status, risks, and blockers in terms program leadership can act on, translating engineering reality into business decisions.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><ul><li><p>
Proven system integration experience in hardware, payload, embedded, defence, or aviation environments.</p></li><li><p>
Technical depth strong enough to work as a peer with engineers, not just manage their timelines.</p></li><li><p>
Track record owning technical dependencies and interfaces across multiple engineering disciplines simultaneously.</p></li><li><p>
Background in either systems/hardware engineering or technical program management, with hands-on integration exposure either way.</p></li><li><p>
Experience on complex, multi-team technical programs, defence, aerospace, automotive, or comparably regulated sectors.</p></li><li><p>
A pragmatic, low-ego, execution-first operating style: you bring structure to chaos, you don't wait for chaos to resolve itself.</p></li><li><p>
Fluent German and professional English. You'll work directly with German-speaking engineering teams daily.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Nice to have</b></h2><div><ul><li><p>
Experience building or scaling a technical/integration team from scratch.</p></li><li><p>
Background in UAS, C-UAS, or loitering munition systems specifically.</p></li><li><p>
Familiarity with formal systems engineering tooling (requirements management, configuration/change control platforms).</p></li><li><p>
Prior experience in a scale-up or fast-growth engineering environment.</p></li></ul><br>
<p></p>
If you're interested in building the future of European Defence with us, and you see yourself reflected on the description above, please send us your <b>CV in English</b>. We&acute;re looking forward to meeting you!</div></div></div>
<p></p><div><h2 class="jobSectionHeader"><b>About us</b></h2><div><b>
SECURITY CLEARANCE</b><br>
Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process.<br>
<br>
<b>EQUAL OPPORTUNITY</b><br>
We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, or any other characteristic protected by applicable law.</div></div></div><p></p>

C-UAS Payload Integration Manager

BMW Group

<div>
 <strong>
  Innovation Is Imagining What No One Else Can.
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  What awaits you?
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What should you bring along?
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 If you are passionate about scalable AI platforms, edge computing, and real-world impact? Apply now!
 <br/>
 <br/>
 Find out more about Artificial Intelligence at the BMW Group here.
 <br/>
 <br/>
 <strong>
  Note
 </strong>
 : Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
 <br/>
 <br/>
 <strong>
  What do we offer?
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Earliest starting date:
 </strong>
 from now on
 <br/>
 <br/>
 <strong>
  Type of employment:
 </strong>
 unlimited
 <br/>
 <br/>
 <strong>
  Working hours
 </strong>
 : 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).
 <br/>
 <br/>
 You can find helpful tips on your application and the application process here.
 <br/>
 <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.
 <br/>
 <br/>
 Senior AI Engineer for the Infotainment Platform (f/m/x)
</div>


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

OMMAX GmbH

<div><div><div>Wen wir suchen:
<div><ul><li>Du konzipierst, implementierst und optimierst AI-native Revenue-Operations-L&ouml;sungen auf Basis von HubSpot Sales Hub, Revenue Hub und Data Hub.</li><li>
Du entwickelst skalierbare Lead-to-Cash- und Quote-to-Cash-Prozesse, die CRM, Customer Intelligence, Automatisierung und AI-gest&uuml;tzte Entscheidungsfindung miteinander verbinden.</li><li>
Du konfigurierst und entwickelst komplexe HubSpot-Umgebungen, einschlie&szlig;lich Workflows, Custom Objects, Reporting-Frameworks, CPQ-Prozessen und Revenue-Management-Funktionen.</li><li>
Du entwickelst Customer-Intelligence-Architekturen als vertrauensw&uuml;rdige Grundlage f&uuml;r Revenue Operations, Forecasting und AI-gest&uuml;tzte Automatisierung.</li><li>
Du nutzt Claude, OpenAI, Cursor und weitere LLM-Technologien, um intelligente Workflows, Copilots und autonome Revenue-Prozesse zu entwickeln.</li><li>
Du konzipierst und implementierst Agentic-AI-L&ouml;sungen sowie HubSpot Agents f&uuml;r Prospecting, Opportunity Management, Account Intelligence, Forecasting und Revenue-Optimierung.</li><li>
Du entwickelst autonome Workflows, die CRM-Daten, Business-Logik und AI-gest&uuml;tzte Entscheidungsmodelle kombinieren, um die kommerzielle Performance nachhaltig zu steigern.</li><li>
Du arbeitest eng mit Kunden sowie internen Teams zusammen und &uuml;bersetzt gesch&auml;ftliche Anforderungen in skalierbare Technologiel&ouml;sungen.</li><li>
Du bringst dich aktiv in Architekturentscheidungen, technische Best Practices sowie die Weiterentwicklung des AI-native Revenue Operations Angebots von OMMAX ein.</li><li>
Du unterst&uuml;tzt den Wissensaustausch und tr&auml;gst zur Etablierung von Best Practices in den Bereichen Revenue Operations, HubSpot und AI-Implementierungen bei.</li></ul></div>
<div></div>Was Du mitbringst:
<div><ul><li>Du hast einen Hochschulabschluss in Wirtschaftsinformatik, Informatik, Informationssystemen, Ingenieurwesen, Data Science, Betriebswirtschaft oder einem verwandten Fachgebiet.</li><li>
Du bringst 3&ndash;8 Jahre relevante Berufserfahrung in den Bereichen Revenue Operations, CRM Consulting, Sales Operations, Revenue Systems, GTM Systems Engineering oder vergleichbaren Fachgebieten mit.</li><li>
Du verf&uuml;gst &uuml;ber fundierte praktische Erfahrung in der Implementierung von HubSpot in komplexen B2B-Umgebungen.</li><li>
Du besitzt tiefgehende Kenntnisse des HubSpot Sales Hub sowie fundierte Erfahrung mit Revenue Hub und Data Hub.</li><li>
Du verf&uuml;gst &uuml;ber ein fundiertes Verst&auml;ndnis von Lead-to-Cash- und Quote-to-Cash-Prozessen, einschlie&szlig;lich Pipeline Management, Forecasting, Revenue Governance und der Optimierung kommerzieller Prozesse.</li><li>
Du bringst praktische Erfahrung mit modernen AI-native-Engineering-Ans&auml;tzen mit, beispielsweise Claude (Anthropic), Cursor, dem Model Context Protocol (MCP) oder vergleichbaren Frameworks.</li><li>
Du verf&uuml;gst &uuml;ber fundierte Kenntnisse in den Bereichen Generative AI, LLM-Architekturen, Retrieval-Augmented Generation (RAG), Tool Calling, Agentic AI sowie AI-gest&uuml;tzter Workflow-Entwicklung.</li><li>
Du hast Erfahrung in der Entwicklung von AI-Assistenten, Agents, Copilots oder autonomen Workflows f&uuml;r Business-Anwendungen.</li><li>
Du bist mit den AI-Funktionalit&auml;ten von HubSpot sowie HubSpot Agents vertraut.</li><li>
Du hast Erfahrung in der Integration von CRM-, ERP-, Customer-Data- und AI-Plattformen &uuml;ber APIs.</li><li>
Du verf&uuml;gst &uuml;ber Kenntnisse in Workflow-Orchestrierungs- und Automatisierungsplattformen, insbesondere Make (by Celonis).</li><li>
Du arbeitest souver&auml;n mit Kunden und Stakeholdern zusammen und kannst gesch&auml;ftliche Anforderungen in skalierbare Systemarchitekturen &uuml;bersetzen.</li><li>
Du sprichst flie&szlig;end Deutsch und Englisch; zus&auml;tzliche standortabh&auml;ngige Sprachkenntnisse sind von Vorteil.</li></ul></div>
<div></div>Was Dich erwartet:
<div><ul><li><b>Dein Impact ist entscheidend: </b>Du gestaltest in einem hochmotivierten &amp; smarten Team in unmittelbarer Zusammenarbeit mit den Gr&uuml;ndern &amp; Partnern aktiv die digitale Zukunft und sorgst durch die erfolgreiche Verkn&uuml;pfung von Strategie und Implementierung f&uuml;r echten Mehrwert.</li><li><b>
Dein Einsatz zahlt sich aus!</b> Du profitierst von attraktiven Gehaltspaketen, Beteiligungen am Vertriebserfolg und exklusiven Investmentm&ouml;glichkeiten. Zus&auml;tzlich f&ouml;rdern wir unsere Top-Talente durch das 'Digital Leaders of Tomorrow' Programm und bieten dir somit weitere spannende Vorteile.</li><li><b>
Dein Learning &ndash; unser Anliegen:</b> Du wirst ab Tag eins durch vielf&auml;ltige Entwicklungsangebote auf deiner Journey unterst&uuml;tzt, &uuml;bernimmst schnell Verantwortung und hast die M&ouml;glichkeit mit uns deine individuelle Karriere zu gestalten &ndash; mit uns wirst du zum Digital Leader!</li><li><b>
Dein Arbeitsumfeld: </b>Du tauchst ein in ein diverses und familienfreundliches Umfeld, mit ausgepr&auml;gtem Teamspirit und profitierst von einem flexiblen und hybriden Arbeitsmodell in einem unserer B&uuml;ros in M&uuml;nchen, London, Amsterdam, Mailand und Berlin.</li><li><b>
Dein Blick in die Zukunft: </b>Du arbeitest am Puls der Zeit und sammelst wertvolle Einblicke und praktische Erfahrungen mit Fokus auf digitale Gesch&auml;ftsmodelle und datengetriebene Wertsch&ouml;pfung in acht zukunftsweisenden Branchen.</li><li><b>
Deine Benefits on top:</b> Freue dich auf regelm&auml;&szlig;ige Teamevents und gemeinsame Sportsessions, profitiere von einer attraktiven betrieblichen Altersvorsorge, einer exklusiven Fitness- und Wellness-Mitgliedschaft, sowie Mobilit&auml;ts- und Essenszusch&uuml;sse und vielseitigen weiteren Company Benefits.</li></ul></div></div></div></div><p></p>

AI Revenue Engineer - HubSpot, Agents & LLMs (m/w/d)

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AI Revenue Engineer - HubSpot, Agents & LLMs (m/w/d)