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senior backend & systems engineer Jobs in Munich

senior backend & systems engineer

senior software engineer

(senior) cloud site reliability engineer (scalability) (m/f/x) Jobs in Munich

(senior) fullstack engineer (typescript) - client success platform (m/f/x) Jobs in Munich

senior backend systems engineer

Cartken

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

Senior Backend & Systems Engineer

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

parcelLab

<div>At parcelLab, we&rsquo;re reshaping how the world&rsquo;s leading brands manage the post-purchase experience.
Our post-purchase platform helps companies like John Lewis, Chico's, Yeti, AllSaints, and others transform every touchpoint into moments that drive customer engagement, build loyalty, and create customers for life.
We&rsquo;re looking for a Senior Backend Engineer - a product‑focused builder with strong experience to help evolve our Returns Portal, a white‑label SaaS used by customers in 175+ countries. You&rsquo;ll work on a large‑scale Django application with a modern Python toolchain (uv/mypy/Ruff/Pydantic) and a server‑driven UI stack (HTMX/Alpine).<h3 class="jobSectionHeader">
The role:</h3>
You will design and evolve the backend systems behind our returns experiences&mdash;owning problems end‑to‑end: clarify outcomes, collaborate with Product and Design, and ship reliable, observable services that make returns fast, clear, and correct.<h3 class="jobSectionHeader">
What you&rsquo;ll do:</h3><ul><li>
Lead services &amp; workflows from concept to impact: model data, implement APIs and jobs, instrument, launch, and iterate.</li><li>
Design and evolve domain models &amp; rules for returns (RMAs, eligibility, routing, bundles) with safe migrations and clear boundaries.</li><li>
Build and maintain APIs (REST/GraphQL) and endpoints that power our server‑driven UI (HTMX/Alpine).</li><li>
Integrate with commerce systems (e.g., Shopify) and order/warehouse tools: design and operate API/webhook integrations, keep orders and RMAs in sync, and ensure idempotent, reliable synchronization and backfills.</li><li>
Raise the bar on engineering practices: typing (mypy), validation (Pydantic), code quality (Ruff), CI/CD, and thoughtful reviews.</li><li>
Own quality in production: monitor performance and error rates; fix what you ship.</li></ul><h3 class="jobSectionHeader">
What we&rsquo;re looking for:</h3><ul><li>
Proficiency with Python in production, ideally (nice to have) with Django.</li><li>
Strong SQL fundamentals, relational modeling, and safe migrations.</li><li>
Experience building APIs (REST) and working with job queues.</li><li>
Comfort with modern Python tooling: uv, mypy, Ruff, Pydantic.</li><li>
Testing mindset (unit/integration) and continuous delivery know‑how.</li><li>
Evidence of agency: stories where you drove an outcome end‑to‑end.</li></ul><h3 class="jobSectionHeader">
Bonus Points:</h3><ul><li>
Experience with server‑driven UIs (Django templates + HTMX/Alpine).</li><li>
Tailwind CSS and solid CSS fundamentals (layout, responsive, a11y) for pragmatic UI tweaks in server‑rendered templates.</li><li>
Shopify ecosystem exposure (Admin API, webhooks, embedded apps).</li><li>
E‑commerce/returns domain familiarity (bundles, routing, warehousing).</li><li>
Observability and SLO practice (metrics, tracing, error budgets); performance tuning in Django at scale.</li></ul><h3 class="jobSectionHeader">
Our stack:</h3>
(you don&rsquo;t need all of this)
Python 3.14, Django, HTMX/Alpine.js (server‑driven UI), mypy, Ruff, Pydantic, uv; PostgreSQL (relational), Redis, a job queue (Celery), REST API / GraphQL, AWS, Terraform, GitHub Actions, feature flags, Sentry/Datadog observability.<h4 class="jobSectionHeader">
Why join parcelLab:</h4><ul><li>
You&rsquo;ll join a passionate and collaborative global team with plenty of room to grow</li><li>
Competitive salary + benefits</li><li>
A culture that values creativity, experimentation, and ownership</li></ul><h4 class="jobSectionHeader">
Perks &amp; Benefits:</h4>
Plenty of room for your own ideas...space to try, fail and learn!
Comprehensive 30-60-90 day onboarding plan in place from the very first day to help you integrate seamlessly with the rest of the company and understand new responsibilities
Equipped with the latest MacBook or PC, as a digital-first company, you choose whether to work entirely from home, in one of our offices or a mix that suits you. Not close to one of our offices No problem! Find yourself a co-working space instead, and we&rsquo;ll help cover the costs
Career development opportunities, including our Leadership Development Program, as well as online language courses, available budgets for further training
&zwj;️ Stay grounded with our free meditation, mindfulness and coaching sessions via our mental wellbeing platform TELUS.health
Regular company retreats, parcelLab events (in-person and online), local and regional meet-ups, as well as team off-sites
Be part of a motivated, diverse and international team made up of over 25 different nationalities; and with a great rating for company culture and employee experience on Glassdoor, you&rsquo;ll love working here!<h4 class="jobSectionHeader">
About parcelLab:</h4>
parcelLab&rsquo;s platform unifies every touchpoint from customer conversion, order tracking, delivery, returns, and engagement into one seamless ecosystem that not only reduces friction but actively drives repeat purchases, transforming post-purchase into a competitive advantage.
It&rsquo;s all in a day&rsquo;s work for us:<ul><li>
Monitor over six million shipments per day</li><li>
175+ countries across the globe use our tracking pages</li><li>
1000+ brands use parcelLab for their post-purchase experience</li><li>
Shipping data comes from more than 350+ carriers worldwide, including DHL, FedEx &amp; DPD</li><li>
150+ employees around the globe, driving innovation together</li></ul>
Equal Opportunities:
parcelLab is an Equal Opportunities Employer. We live the motto always joy, always team, always equality, which means we celebrate diversity and do not accept any form of discrimination or harassment. We believe that diversity enriches our employee experience and allows each of us to deliver the best work possible.
Qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, disability status or other lived experience.
Come be part of our growth &ndash; contribute your ideas and share in our success as we continue to improve the post-sales customer journey for millions of people every day.</div>

Senior Backend Engineer

CLERA

<div><h3 class="jobSectionHeader">About the Role</h3>
A fast-growing, pre-seed-funded energy tech startup based in Munich is looking for a Founding Product Engineer to join its early team. The company builds an enterprise-grade, AI-powered SaaS platform that helps industrial companies strategically manage their energy procurement &mdash; covering everything from consumption forecasting and flexible procurement to flexibility monetisation.
As one of the first engineers on the team, you will have a decisive say in how the product is built, what the tech stack looks like, and how customers experience the platform. This is a high-ownership, high-impact role for a generalist engineer who thrives at the intersection of product, engineering, and customer collaboration.
No visa sponsorship is available for this position.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Own the full product lifecycle &mdash; from design and scoping through to deployment and iteration.</li><li>
Translate product objectives into clear, actionable requirements in close collaboration with customers.</li><li>
Design simple, iterative solutions to complex energy procurement and optimisation problems.</li><li>
Develop performant backend services for a data-intensive application.</li><li>
Build intuitive, elegant user interfaces for a complex decision-support system.</li><li>
Train time-series forecasting models for power consumption and renewables production.</li><li>
Develop linear optimisation algorithms aimed at reducing customer energy costs.</li><li>
Help choose and evolve the core tech stack (currently centred on PostgreSQL, TypeScript, React, and Python).</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3>
Must-haves:<ul><li>
2+ years of software engineering experience delivering scalable web applications in an early-stage startup environment.</li><li>
Proven track record of delivering full product features independently, in direct collaboration with customers.</li><li>
Strong software engineering fundamentals &mdash; you build things that are robust, maintainable, and scalable.</li><li>
Hands-on experience building backend services for data-intensive applications.</li><li>
Experience building frontend UIs for complex decision-support or analytical tools.</li><li>
A product mindset: you think about user impact, not just code quality.</li><li>
Comfort with ambiguity and a genuine appetite for fast-paced, early-stage environments.</li></ul>
Strongly preferred:<ul><li>
Hands-on experience with time-series forecasting and/or linear optimisation.</li><li>
Familiarity with PostgreSQL, TypeScript, React, and/or Python.</li><li>
Previous experience as a founding engineer, CTO, or technical co-founder at a startup.</li></ul>
Nice to have:<ul><li>
Experience with FastAPI and/or Supabase.</li><li>
Interest in or knowledge of energy markets and energy-intensive industrial operations.</li><li>
Corporate engineering background is acceptable if paired with a demonstrated startup mindset and grit.</li></ul><h3 class="jobSectionHeader">
Compensation &amp; Benefits</h3><ul><li>
Salary: &euro;85,000 &ndash; &euro;140,000 per year, depending on experience.</li><li>
Meaningful early-stage equity participation (details shared during the process).</li><li>
Direct influence over product direction, tech stack, and team culture from day one.</li><li>
Work alongside an experienced founding team in a well-backed, mission-driven company.</li></ul><h3 class="jobSectionHeader">
Location</h3>
This is a hybrid role based in Munich, Bavaria, Germany. You are expected to work on-site in Munich the majority of the week, with flexibility for occasional remote days. Fully remote candidates are not suitable for this position.</div>

Founding Product Engineer

H&Z Unternehmensberatung AG

<div><div>M&uuml;nchen</div><div>
Vollzeit</div><div>
Festanstellung</div></div>
 <div><div><div><h2 class="jobSectionHeader">Position</h2><div><div>
Du m&ouml;chtest KI-L&ouml;sungen nicht nur entwickeln, sondern deren strategische Ausrichtung, technische Exzellenz und nachhaltigen Erfolg beim Kunden verantworten? 
Du denkst AI-Produkte ganzheitlich, von der Gesch&auml;ftsanforderung &uuml;ber Architektur und Delivery bis hin zu Betrieb, Skalierung und kontinuierlicher Optimierung? 
Du m&ouml;chtest technische Teams f&uuml;hren, Standards etablieren und innovative AI-L&ouml;sungen f&uuml;r nationale und internationale Kunden gestalten?</div> 
Dann haben wir die richtige Stelle f&uuml;r dich: 
<h1 class="jobSectionHeader">
Team Lead AI Engineering (w/m/d) 
</h1></div></div><div><h2 class="jobSectionHeader">
Was gibt es zu tun?</h2><div><ul><li>
Du f&uuml;hrst ein interdisziplin&auml;res AI-Engineering-Team fachlich und technisch und entwickelst dessen Kompetenzen kontinuierlich weiter</li><li>
Au&szlig;erdem &uuml;bernimmst du die End-to-End-Verantwortung f&uuml;r komplexe AI-L&ouml;sungen, von Discovery, Solution Design und Architektur bis zum produktiven Betrieb und der kontinuierlichen Weiterentwicklung</li><li>
Teil deiner Aufgabe ist es, gesch&auml;ftliche Anforderungen in skalierbare, sichere und robuste AI-Systemarchitekturen zu &uuml;bersetzen und gemeinsam mit Kunden und internen Stakeholdern technische Roadmaps zu definieren</li><li>
Teil deiner Verantwortung sind Architekturentscheidungen rund um LLM-basierte Systeme, agentische Workflows, RAG-Architekturen, Tool Integration, Orchestrierung und Evaluierungsframeworks</li><li>
Du etablierst Best Practices, Standards und wiederverwendbare Patterns f&uuml;r AI- und LLM-L&ouml;sungen, von Prompt Engineering &uuml;ber Context Engineering bis hin zu Governance und Quality Assurance</li><li>
In deiner Rolle treibst du den Aufbau und die Weiterentwicklung von LLMOps- und MLOps-Strukturen voran, inklusive CI/CD, automatisierter Evaluierung, Monitoring, Versionierung und kontinuierlicher Optimierung</li><li>
Du steuerst technische Discovery-Phasen, f&uuml;hrst Machbarkeitsanalysen durch und bewertest technologische Risiken, Kosten und Skalierungsoptionen</li><li>
Ein wichtiger Teil deiner T&auml;tigkeit ist es sicherzustellen, dass AI-L&ouml;sungen h&ouml;chsten Anforderungen an Performance, Security, Compliance, Datenschutz und Responsible AI gerecht werden</li><li>
Du integrierst AI-Komponenten in komplexe Enterprise-Systemlandschaften und entwickelst nachhaltige Integrationsstrategien &uuml;ber APIs, Microservices und eventgetriebene Architekturen</li><li>
Als Team Lead AI Engineering agierst du als technischer Trusted Advisor f&uuml;r Kunden, moderierst Architektur-Workshops und unterst&uuml;tzt bei strategischen Technologieentscheidungen</li><li>
Du coachst und mentorierst Engineers, f&ouml;rderst technische Exzellenz im Team und etablierst eine starke Engineering-Kultur</li></ul></div></div><div><h2 class="jobSectionHeader">
Was bringst du mit?</h2><div><ul><li>
Ein abgeschlossenes Studium der Informatik, Informationstechnologie oder eine vergleichbare Qualifikation mit fundierter praktischer Erfahrung</li><li>
Mehrj&auml;hrige Erfahrung im Software Engineering mit Schwerpunkt auf Backend-, Distributed Systems- oder Cloud-native Architectures</li><li>
Umfangreiche Erfahrung in der Konzeption und produktiven Umsetzung komplexer AI- und Generative-AI-L&ouml;sungen auf Enterprise-Niveau</li><li>
Tiefgehendes Verst&auml;ndnis moderner LLM-Architekturen und AI-Applikationsmuster wie RAG, Multi-Agent Systems, Embeddings, Vector Databases, Tool Calling, Guardrails und Evaluation Pipelines</li><li>
Fundierte Erfahrung mit relevanten Frameworks und Stacks wie LangChain, LlamaIndex, Semantic Kernel oder vergleichbaren Technologien</li><li>
Erfahrung im Aufbau produktionsreifer AI-Plattformen inklusive Monitoring, Observability, Cost Optimization und Governance</li><li>
Sehr gute Kenntnisse in mindestens einer modernen Programmiersprache, zum Beispiel Python, TypeScript, C# oder Java, sowie ein starkes Architekturverst&auml;ndnis</li><li>
Erfahrung mit Cloud-Plattformen wie Microsoft Azure, Amazon Web Services AWS oder Google GCP; idealerweise mit Fokus auf AI-native Services</li><li>
Sehr gutes Verst&auml;ndnis von DevOps-Prinzipien, Infrastructure as Code, CI/CD, Containerisierung und Security-by-Design</li><li>
Erfahrung in technischer F&uuml;hrung, Teamsteuerung, Mentoring oder Architekturverantwortung</li><li>
Hohe Beratungs- und Kommunikationsst&auml;rke sowie die F&auml;higkeit, komplexe technische Zusammenh&auml;nge adressatengerecht zu vermitteln</li><li>
Verhandlungssichere Englischkenntnisse; Deutschkenntnisse sind von Vorteil</li></ul></div></div><div><h2 class="jobSectionHeader">
Was bieten wir dir?</h2><div><ul><li>
Strategisch relevante Projekte mit hoher technologischer Komplexit&auml;t und direktem Business Impact</li><li>
Viel Gestaltungsspielraum und echte Verantwortung</li><li>
Fachliche und pers&ouml;nliche Weiterentwicklung auf Senior- und Leadership-Level</li><li>
Mentoren-Programm</li><li>
Famili&auml;res und freundschaftliches Arbeitsklima</li><li>
Mitarbeiterevents und Firmenretreats</li><li>
Mobilit&auml;tsangebote</li><li>
Tolles zentrales Office in M&uuml;nchen</li><li>
Getr&auml;nke, Obst &amp; Joghurts im Office</li><li>
Firmenlaptop &amp; Firmenhandy</li><li>
Sportangebote</li></ul></div></div></div>
<div><h2 class="jobSectionHeader">&Uuml;ber uns</h2><div>
&Uuml;ber H&amp;Z 
H&amp;Z ist eine f&uuml;hrende europ&auml;ische Managementberatung mit klarem Fokus auf messbare Wirkung. Als Partner unterst&uuml;tzt H&amp;Z mittelst&auml;ndische Unternehmen und Konzerne dabei, ihre Wettbewerbsf&auml;higkeit nachhaltig zu st&auml;rken und verbindet dabei Klarheit, Verantwortung und pragmatische Umsetzung. 
Mit Expertise in Procurement, Performance, digitaler Transformation und Restrukturierung &uuml;bersetzt H&amp;Z strategische Ziele in konkrete Ergebnisse entlang der gesamten Wertsch&ouml;pfungskette. Von der Strategie bis zur Umsetzung stellt H&amp;Z sicher, dass Wirkung nicht nur entsteht, sondern langfristig verankert wird. 
From Ambition to Impact. 
So entsteht aus Ambition messbare Wirkung und aus Wirkung nachhaltige Wettbewerbsst&auml;rke.</div></div></div>

Team Lead AI Engineering (w/m/d)

Capmont

<div>
 Search
 
 
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 Explore
 
 
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 Join talent network
 
 
 Talent
 
 
 AI Software Engineer (f/m/d)
 
 
 Manex AI
 
 
 Software Engineering, Data Science
 
 
 Munich, Germany
 
 
 Posted on Jun 30, 2026
 
 
 Apply now
 
 
 
 AI Software Engineer (f/m/d)
 
 
 
 
 About Us
 
 
 
 Manex AI is on a mission to enable autonomy for the world&rsquo;s leading organizations and is currently building autonomous factories. After raising our Seed Round from Lightspeed and BlueYard and winning leading enterprise manufacturing customers, we are now focused on scaling operations across all departments. With our world-class team, we are looking for the key individuals who will help take us to the next level and build a truly outstanding organization.
 
 
 
 Your Role
 
 
 
 As an AI Software Engineer, you build the applications that make autonomy real on the factory floor. You work embedded inside the production environments of our customers - industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co. - where our platform "Kosmos" meets the messy reality of manufacturing. You take the hardest technical problems our customers have and turn them into working software, powered by data and AI, inside their most critical, high-stakes processes.
 
 
 Most of your time goes into building: developing AI-driven applications, designing the integration architectures around them, and shipping solutions that create measurable impact - while becoming a trusted technical contact for our customers along the way.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Direct software and AI application development within customer projects
 </li>
 <li>
 Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development
 </li>
 <li>
 Support technical integration of our platform into customer IT landscapes
 </li>
 <li>
 Learn how production processes, IT infrastructure and AI products intersect
 </li>
 <li>
 Translate customer requirements into technical solutions and specifications
 
 
 </li>
 </ul>
 
 Your Profile
 
 
 
 <ul>
 <li>
 Degree in Computer Science, Information Systems, or similar
 </li>
 <li>
 0 to 4 years professional experience or internships in software engineering or similar
 </li>
 <li>
 Hands-on experience through projects, ventures, or product development
 </li>
 <li>
 Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond
 </li>
 <li>
 Business-fluent in German and English
 </li>
 <li>
 Based in Munich or willing to relocate, ready to go all-in with us
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers
 </li>
 <li>
 Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions
 </li>
 <li>
 Top-of-market compensation with equity package
 </li>
 <li>
 Develop a best-in-class network (funding, industry, and talent) in Europe and the US
 </li>
 <li>
 A fast-paced environment backed by the world's best investors with the world's leading organizations as customers
 
 
 </li>
 </ul>
 Are you willing to start contributing to European autonomy at scale? Apply now!
 
 
 Apply now
 
 
 See more open positions at Manex AI
</div>

AI Software Engineer (f/m/d)

BMW Group

<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.
 
 
 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.
 
 
 
 What awaits you?
 
 
 
 <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>
 
 What should you bring along?
 
 
 
 <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>
 If you are passionate about scalable AI platforms, edge computing, and real-world impact? 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>
 
 Earliest starting date:
 
 from now on
 
 
 
 Type of employment:
 
 unlimited
 
 
 
 Working hours
 
 : full-time
 
 
 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).
 
 
 You can find helpful tips on your application and the application process here.
 
 
 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.
 
 
 Senior AI Engineer for the Infotainment Platform (f/m/x)
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Senior AI Engineer for the Infotainment Platform (f/m/x)

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