(senior) ai & generative ai engineer (all genders)

(senior) engineer, software ivv test & integration, iris2

director, it engineering - end user support

senior applied ai / ml data engineer (f/m/x)

senior software engineer

(senior) ai & generative ai engineer (all genders) Jobs in Munich

(senior) engineer, software ivv test & integration, iris2 Jobs in Munich

(senior) software engineer (all genders) Jobs in Munich

(senior) software engineer (all genders)

(senior) software engineer (f/m/x) Jobs in Munich

(senior) software engineer (f/m/x)

senior research engineer

Luma Vision

<div>LUMA Vision is a start-up based in Dublin (Ireland) and Munich (Germany) developing innovative imaging technologies to advance healthcare and solve global unmet clinical needs. We apply rigorous engineering and design to create new hardware, software and data-science technologies towards clinical procedures. Our focus is on developing sophisticated ultrasound cardiac imaging and navigation systems that provide essential real-time visualisation for advanced electrophysiology and structural heart procedures, leveraging diverse technologies to transform patient care.
To drive our platform development, we are looking for a Medical Deep Learning Computer Vision Engineer to join our growing team in our quest to produce high-quality medical device software. You will become part of a dynamic group of innovators, shaping the future of imaging in healthcare. 
Your role with us:
As a Medical Deep Learning Computer Vision Engineer, you will be responsible for working across research, technology development, and clinical application development. Your expertise makes you ready to own technical modules and processes end-to-end, working collaboratively within the team on both classical computer vision and artificial intelligence (AI) towards shipping production-quality code in Python and, where performance demands it, C++ and CUDA.
Your technical work will span from low-level signal processing to advanced deep learning and contribute to large-scale dataset preparation and curation. You will engage across research, hardware, clinical, and regulatory teams and help guide junior engineers through code reviews and technical design. You are comfortable using GIT and CI/CD to collaborate on and deliver code that is tested, documented, and ready for a regulated medical device environment. 
What you offer:<ul><li>
BSc or MSc degree in computer science, biomedical engineering or a related field.</li><li>
3+ years of professional experience in image processing, computer vision or deep learning for real-world applications</li><li>
Strong proficiency in Python with demonstrated ability to write production-grade code.</li><li>
Professional experience in deep learning development for computer vision.</li><li>
Proven ability to read, implement and critically evaluate state-of-the-art approaches from literature.</li><li>
Expertise with 3D (and ideally 4D) data. Familiarity with medical imaging is highly preferred.</li><li>
Experience working in a regulated environment or a strong appreciation for software quality practices including testing, documentation and validation.</li><li>
Hands-on, collaborative problem-solving mindset and excellent communication skills in English.</li></ul> 
Nice-to-Have:<ul><li>
Experience with C++ and/or CUDA.</li><li>
Experience with medical imaging (cardiac focus and/or ultrasound a plus)</li><li>
Exposure to MLOps and model deployment.</li><li>
Secure data handling with GDPR compliance for sensitive (healthcare) data.</li></ul> 
What we offer:<ul><li>
Ownership of meaningful work, your code will directly impact patient care and clinical outcomes.</li><li>
A growing and collaborative multinational team with a strong focus on team culture and individual development.</li><li>
Access to global network of clinical, technical and business innovators.</li><li>
Competitive salary with participation in employee participation scheme</li><li>
Flexible hybrid working with ergonomic offices in Dublin and Munich, both easily reachable by public transport.</li></ul>
LUMA Vision is an equal opportunity employer and welcomes applications from all qualified individuals regardless of ethnicity, sex, disability, religion/belief, sexual orientation or age.
Would you like to become part of our team?
We would love to hear from you!</div>

Medical Deep Learning Computer Vision Engineer (m/w/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)
</div>

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

Capmont

<div>
 Search
 
 
 jobs
 
 
 Explore
 
 
 companies
 
 
 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)

Anthropic

<div><div><h2 class="jobSectionHeader">About Anthropic</h2>

Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</div><div><h2 class="jobSectionHeader">
About the role</h2>

As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the DACH market.
<h2 class="jobSectionHeader">
Responsibilities</h2>
<ul>
<li>Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close
</li>
<li>Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
</li>
<li>Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications
</li>
<li>Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices
</li>
<li>Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the DACH enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers
</li>
<li>Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency
</li>
</ul><h2 class="jobSectionHeader">You may be a good fit if you have</h2>
<ul>
<li>Native German speaker with excellent written and verbal communication skills in German and English
</li>
<li>8+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies
</li>
</ul><ul><li>Specialised sales industries experience: Telco, Manufacturing, Retail, Energy and Utilities
</li>
</ul><ul><li>A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases
</li>
<li>Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments
</li>
<li>Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies
</li>
<li>Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process
</li>
<li>Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives
</li>
<li>Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the DACH market
</li>
<li>A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities
</li>
<li>A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use
</li>
</ul><h2 class="jobSectionHeader">What We Offer</h2>
<ul>
<li>Competitive base salary and commission structure
</li>
<li>Equity participation in Anthropic's growth
</li>
<li>Comprehensive benefits package
</li>
<li>Opportunity to shape the AI industry in DACH and EMEA
</li>
<li>Professional development and career growth opportunities
</li>
</ul>Location: Munich, Germany</div><div><h2 class="jobSectionHeader"> 
Logistics</h2>

Minimum education: Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 
 
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
<h2 class="jobSectionHeader">
How we're different</h2>

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
<h2 class="jobSectionHeader">
Come work with us!</h2>

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.</div></div>

Enterprise Account Executive, Industries Generalist

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

Navflex

<div>Non‑negotiables for this role<ul><li>
3+ years hands-on programming of SICK safety controllers using SICK Safety Designer (professional, production use).</li><li>
Electrical Engineering background with strong hands-on commissioning / troubleshooting on real vehicles.</li><li>
Confident Python programming and ability to read and debug existing Python code (integration of safety system with application logic).</li></ul><h1 class="jobSectionHeader">
About Navflex</h1>
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.<h1 class="jobSectionHeader">
Role Overview</h1>
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.
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.<h1 class="jobSectionHeader">
What You Will Own</h1><ul><li>
Safety controller architecture and implementation across Navflex AMR/AGV platforms, with a strong focus on SICK safety controllers.</li><li>
Day-to-day development, commissioning, troubleshooting, and versioned configuration management of SICK Safety Designer projects.</li><li>
Safety integration points between the safety controller and the robot application stack (status, modes, field switching, diagnostics), including Python-based tooling/software components.</li><li>
Safety verification and validation on the vehicle, including test planning, execution, evidence capture, and documentation maintenance.</li><li>
Support for certifications, audits, and customer/site acceptance related to machinery safety and mobile robot standards (e.g., ISO 3691-4, ISO 13849).</li></ul><h1 class="jobSectionHeader">
Key Responsibilities</h1><h2 class="jobSectionHeader">
Safety concept, risk assessment, and requirements</h2><ul><li>
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.</li><li>
Translate safety requirements into an implementable safety concept and safety controller design, including safety I/O definitions, sensor coverage strategy, and safe-state behavior.</li><li>
Define required Performance Levels (PLr) / SIL targets for safety functions and maintain traceability from hazards safety requirements implementation verification evidence.</li></ul><h2 class="jobSectionHeader">
SICK safety controller programming (SICK Safety Designer)</h2><ul><li>
Design, implement, and maintain safety logic in SICK safety controllers using SICK Safety Designer, including diagnostics and safe-state handling.</li><li>
Commission and troubleshoot safety systems on real robots: wiring verification, signal integrity, scanner/encoder configuration, safety I/O checks, and fault analysis.</li><li>
Build a maintainable configuration strategy across product variants: reusable modules, clear naming conventions, version control, and release/deployment procedures for safety configurations.</li><li>
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).</li></ul><h2 class="jobSectionHeader">
Vehicle integration and Python-based software interfaces</h2><ul><li>
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.</li><li>
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).</li><li>
Work with robotics software engineers to pinpoint root causes across the stack (safety controller, sensors, network, application logic) and drive issues to resolution.</li></ul><h2 class="jobSectionHeader">
Verification, validation, and documentation</h2><ul><li>
Create and execute safety verification and validation plans for new features, new platform types, and customer-specific operating domains; document results clearly and reproducibly.</li><li>
Maintain safety documentation throughout the lifecycle: safety concept, risk assessment, safety requirements, verification/validation evidence, change logs, and customer-facing documentation as needed.</li><li>
Support internal design reviews and external assessments (e.g., notified bodies, T&Uuml;V, customer audits) with well-structured technical files and evidence packs.</li></ul><h2 class="jobSectionHeader">
Cross-functional leadership and operations support</h2><ul><li>
Partner with hardware, mechanical, and software engineering to ensure safety is designed-in from early development through production and field deployment.</li><li>
Support early deployments and customer transitions by diagnosing safety-related field issues, recommending design changes, and improving robustness.</li><li>
Contribute to continuous improvement of safety processes (templates, checklists, test automation, change control) so safety scales with fleet growth.</li></ul><h1 class="jobSectionHeader">
Required Qualifications</h1><ul><li>
Bachelor&rsquo;s degree (or higher) in Electrical Engineering or a closely related field.</li><li>
3+ years of substantial, hands-on experience programming SICK safety controllers using SICK Safety Designer (including commissioning and troubleshooting on real machines/vehicles).</li><li>
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).</li><li>
Strong working knowledge of relevant safety standards and methods; ideally ISO 3691-4 for AGVs/AMRs, and/or ISO 13849-1 / IEC 62061.</li><li>
Practical experience with safety sensors and safety circuits (e-stops, safety laser scanners, safety encoders, safety I/O, interlocks).</li><li>
Confident Python programming skills and ability to read/debug production Python code in a multi-component robotics system.</li><li>
Comfortable working hands-on with hardware in a lab/warehouse environment and iterating quickly based on test results.</li><li>
Fluent English (German is a strong plus).</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Demonstrated experience implementing safety solutions for AGVs/AMRs specifically aligned with ISO 3691-4 (from concept through validation).</li><li>
Experience with PL/SIL calculations and tooling (e.g., SISTEMA) and building safety evidence packs/technical files for CE marking.</li><li>
Knowledge of safe communications / fieldbuses commonly used with safety systems (e.g., CIP Safety, PROFIsafe) and industrial networking fundamentals.</li><li>
Experience working with mobile robot software stacks (e.g., ROS/ROS 2, Linux, networking, log analysis) and collaborating with navigation/perception/control teams.</li><li>
T&Uuml;V Functional Safety certification (or similar) and/or experience working directly with notified bodies and third-party test labs.</li></ul><h1 class="jobSectionHeader">
Tools &amp; Environment</h1><ul><li>
SICK Safety Designer (must-have); experience with Flexi Soft ecosystems is highly relevant.</li><li>
Safety-rated sensors and components (safety laser scanners, safety encoders, safety I/O, safety relays/contactors).</li><li>
Python, Git, and modern engineering workflows (issue tracking, code reviews, CI where applicable).</li><li>
Hands-on vehicle testing and commissioning in a robotics lab / customer-like environments.</li></ul><h1 class="jobSectionHeader">
What Success Looks Like</h1><ul><li>
Safety configurations are reliable, diagnosable, and managed like product software: versioned, reviewable, testable, and deployable.</li><li>
New platform types and customer operating domains can be supported quickly with clear safety requirements, robust implementations, and repeatable validation procedures.</li><li>
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.</li><li>
Documentation and evidence are continuously maintained so audits and certifications are predictable rather than disruptive.</li></ul><h1 class="jobSectionHeader">
What We Offer</h1><ul><li>
A highly hands-on role with real robots, real customer environments, and direct impact on product safety and reliability.</li><li>
High ownership: you will shape how safety engineering is executed and scaled across our platform portfolio.</li><li>
A collaborative, international engineering team with fast iteration cycles and a strong focus on solving real-world logistics problems.</li><li>
Competitive compensation and benefits aligned with market standards for senior engineering roles in Munich.</li></ul><h1 class="jobSectionHeader">
Equal Opportunity</h1>
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.</div>

Senior Functional Safety Engineer/Safety Systems Engineer

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

Explore 24+ Senior research engineer in Munich this July. Find roles across top companies and apply now to boost your career.