senior devops engineer

senior backend & systems engineer Jobs in Munich

senior backend & systems engineer

senior software engineer

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

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

(senior) software engineer (all genders)

full stack software engineer

Omnisent

<div>
 <p>
  <strong>
   Founded in late 2024, Omnisent is a Munich-based acoustic AI company developing next-generation sensing systems that turn sound into real-time intelligence. The team combines deep expertise in physics, machine learning, and mechanical engineering &mdash; united by a mission to unlock the untapped intelligence of the acoustic world.
  </strong>
 </p>
 <br/>
 <p>
  At the core of Omnisent&rsquo;s innovation are ultra-low-power sonic devices and the company&rsquo;s Large Acoustic Model (LAM) &mdash; a foundation model trained on the complex world of non-speech audio. This unique combination enables the real-time detection, classification, and localization of acoustic events &mdash; whether identifying drones in contested airspace or tracing air leaks in manufacturing systems.
 </p>
 <br/>
 Tasks
 <br/>
 <ul>
  <br/>
  <li>
   <strong>
    Build beautiful, intuitive web applications and dashboards
   </strong>
   that transform complex sensor networks into actionable insights.
  </li>
  <br/>
  <li>
   <strong>
    Develop backend services and APIs
   </strong>
   for device provisioning, fleet management, OTA updates, and secure data access.
  </li>
  <br/>
  <li>
   <strong>
    Collaborate with external UI/UX and engineering partners
   </strong>
   to translate concepts into production-ready systems.
  </li>
  <br/>
  <li>
   <strong>
    Implement secure user provisioning and access control
   </strong>
   , including encryption and role-based permissions.
  </li>
  <br/>
  <li>
   <strong>
    Architect and operate cloud infrastructure
   </strong>
   powering Omnisent&rsquo;s platform, including storage, APIs, authentication, and observability.
  </li>
  <br/>
  <li>
   <strong>
    Develop internal tools
   </strong>
   for test automation, debugging, and quality workflows.
  </li>
  <br/>
  <li>
   <strong>
    Work closely with embedded, RF, and AI teams
   </strong>
   to deliver seamless device&ndash;cloud&ndash;user integrations.
  </li>
  <br/>
  <li>
   <strong>
    Contribute to CI/CD pipelines
   </strong>
   and maintain high reliability across production environments.
  </li>
  <br/>
 </ul>
 <br/>
 Requirements
 <br/>
 <p>
  <strong>
   Basic Requirements:
  </strong>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   <strong>
    Bachelor&rsquo;s or Master&rsquo;s degree
   </strong>
   in Computer Science, Software Engineering, IT Systems Engineering, or a related field.
  </li>
  <br/>
  <li>
   <strong>
    3+ years of professional experience
   </strong>
   in full stack or backend engineering.
  </li>
  <br/>
  <li>
   <strong>
    Strong proficiency
   </strong>
   with at least one backend language (Node.js, Python, Go, etc.) and one modern frontend framework (React, Vue, etc.).
  </li>
  <br/>
  <li>
   <strong>
    Experience building and consuming secure APIs
   </strong>
   and developing modern authentication/authorization systems.
  </li>
  <br/>
  <li>
   <strong>
    Familiarity with at least one cloud provider
   </strong>
   (AWS, GCP, Azure) and modern cloud architectures.
  </li>
  <br/>
  <li>
   <strong>
    Solid understanding
   </strong>
   of secure software engineering practices.
  </li>
  <br/>
  <li>
   <strong>
    Experience with CI/CD
   </strong>
   processes, monitoring, and deployment pipelines.
  </li>
  <br/>
  <li>
   <strong>
    Strong communication skills
   </strong>
   in English (German a plus).
  </li>
  <br/>
  <li>
   <strong>
    EU work authorization.
   </strong>
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  <strong>
   Preferred Requirements:
  </strong>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   <strong>
    Experience building IoT or distributed systems backends.
   </strong>
  </li>
  <br/>
  <li>
   <strong>
    Background in multi-tenant or security-sensitive development.
   </strong>
  </li>
  <br/>
  <li>
   <strong>
    Experience collaborating with external partners
   </strong>
   or agencies.
  </li>
  <br/>
  <li>
   <strong>
    Familiarity with event-driven architectures
   </strong>
   and scalable cloud systems.
  </li>
  <br/>
  <li>
   <strong>
    Startup experience
   </strong>
   and excitement for building new technological infrastructure from scratch.
  </li>
  <br/>
 </ul>
 <br/>
 Benefits
 <br/>
 <ul>
  <br/>
  <li>
   <strong>
    Competitive Compensation:
   </strong>
   Highly competitive cash comp, along with virtual stock options, that reflect your experience and the value you bring.
  </li>
  <br/>
  <li>
   <strong>
    Accelerated Learning &amp; Growth:
   </strong>
   Join a fast-paced environment where you&rsquo;ll take on real responsibility, overcome meaningful challenges, and grow alongside a driven team.
  </li>
  <br/>
  <li>
   <strong>
    Make a Real Impact:
   </strong>
   Play a key role in shaping Omnisent&rsquo;s journey and contribute directly to the success of the company.
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  <strong>
   Join us in redefining how the world listens, understands, and responds through intelligent acoustic sensing.
  </strong>
 </p>
 <br/>
 <p>
  In your cover letter, we&rsquo;d love to hear about your personal interests, what drives you, why this role feels like the right fit &mdash; and most importantly, why Omnisent.
 </p>
</div>


Full Stack Software Engineer (f/m/d)

AutoBrains Technologies

<div><p>We want to bring on an engineer for the planner stack. This is an engineering role at heart, developing the logic that triggers/executes various driving maneuvers.</p><p>
But it's not a pure desk job. Because we release new software fast and have cars driving around town every day, this person will also stay close to the testing side: seeing their code run on the real car, helping keep an eye on our daily test drives, and being aware of what new code is being released across the company. Monitor improvements and degradation.</p><p>
We're looking for a sharp, early-career engineer who's excited about robotics and autonomous driving. Someone who's curious, self-driven, and eager to get hands-on with real autonomy challenges. If you enjoy solving tough technical problems, learning fast, and making an impact in a startup environment, we'd love to hear from you.</p><br>
Requirements:
<br>
<ul><li><b>Master's degree in engineering or a STEM field (e.g. electrical engineering, deep learning / ML, robotics, or similar)</b></li><li>
Experience in robotics, autonomous driving, or control engineering</li><li>
Experience with Machine Learning</li><li>
Coding</li><li>
Experience with Linux</li><li>
Curious, self-driven, good communicator</li><li>
Driver's license (occasional test drives)</li></ul><p><b>
Bonus</b></p><ul><li><b>
Experience with Docker</b></li><li>
Experience with ROS</li></ul><br>
Responsibilities:
<br>
<ul><li>Develop and improve the planner stack (the software that decides how the car moves)</li><li>
Keep aware of what new software is being released across the company</li><li>
Stay close to our daily test drives, monitor improvements/degradation</li><li>
Join test drives</li></ul></div>

Planner Stack Engineer

Integrity Next

<div><h4 class="jobSectionHeader"><b>Join us!</b></h4><p>
At IntegrityNext, we are building a shared AI and data platform on AWS on top of our supply chain and product compliance platform. The platform powers semantic data access, BI, APIs, and agentic product experiences.<br>
Our PostgreSQL operational databases are ingested into Snowflake through a near-real-time pipeline built on Snowflake Openflow. On top of Snowflake, we transform and model data with dbt, expose business meaning through Snowflake semantic views, use Snowflake Cortex AI for AI capabilities, and surface curated data through Amazon QuickSight, Apache Superset, APIs, and AI consumption layers.<br>
<br>
As <b>Fullstack Engineer (Semantic / Analytics) (m/f/d)</b>, you will own the business meaning of data and make it reusable across analytics, BI, APIs, semantic access, and AI-powered experiences. You will work across semantic modeling, KPI logic, reusable data models, business-facing data exposure, and collaborate closely with platform, AI, solution, and business teams.<br>
<br>
The platform will continue to evolve toward broader support for unstructured data and lakehouse-style capabilities. We work spec-driven, use AI-assisted engineering tools such as Claude Code and Cursor, follow &ldquo;You build it, you run it&rdquo;, and expect strong specialization combined with fullstack ownership.</p><h4 class="jobSectionHeader"><b><br>
What can you expect?</b></h4><p><b>
Build the semantic foundation for data products</b></p><ul><li>
Build and evolve the semantic layer in dbt and Snowflake semantic views, including business entities, metrics, dimensions, and reusable data models</li><li>
Define KPIs, business logic, canonical data definitions, and semantic consistency standards together with business and product stakeholders</li><li>
Help shape how semantic data products are exposed consistently across internal and external platform capabilities</li><li>
Ensure business entities, KPIs, and metrics are clearly and consistently defined across the platform</li></ul><b>
Make curated data usable across BI, APIs, and AI</b><ul><li>
Expose curated data for BI tools such as Amazon QuickSight and Apache Superset, APIs, downstream product use cases, and AI consumption including Snowflake Cortex AI</li><li>
Support AI use cases through feature shaping, context structuring, semantic enrichment, and business-grounded data preparation</li><li>
Collaborate with the AI Engineer to ensure agentic experiences are grounded in meaningful, well-structured business data</li><li>
Help ensure BI, APIs, and AI use cases rely on the same trusted semantic foundations in Snowflake</li></ul><b>
Work with reliable, fresh, and governed data</b><ul><li>
Work with near-real-time data ingested from PostgreSQL into Snowflake via Snowflake Openflow</li><li>
Ensure semantic models reflect fresh, reliable data from operational systems</li><li>
Align with solution teams on data contracts, source semantics, and integration expectations</li><li>
Help define validation rules, data trust practices, lineage support, and consistency controls</li></ul><b>
Collaborate across platform, product, and engineering</b><ul><li>
Work closely with the Data &amp; Platform Architect and Data &amp; Platform Engineer to build semantic models on reliable, scalable Snowflake foundations</li><li>
Collaborate with platform, AI, solution, product, and business-facing teams</li><li>
Help the company build a reusable semantic layer that scales with future platform growth</li><li>
Apply spec-driven development, AI-assisted engineering workflows, and end-to-end production ownership</li></ul><p></p><h4 class="jobSectionHeader"><b>
What should you bring along?</b></h4><p><b>
Experience &amp; Domain Focus</b></p><ul><li>
Very strong hands-on SQL skills and broad, deep database knowledge, including data modeling</li><li>
Strong hands-on experience with Snowflake, including Snowflake semantic views</li><li>
Hands-on experience with dbt at scale for transformations and analytics engineering best practices</li><li>
Experience with PostgreSQL as a source for structured business data</li><li>
Experience building semantic layers, reusable metrics, canonical data models, analytics engineering assets, KPIs, business logic, and data definitions with stakeholders</li><li>
Experience exposing data for BI, APIs, downstream product use cases, and AI or analytics consumption</li><li>
Experience defining or supporting data contracts, validation rules, semantic consistency standards, data quality, lineage, and trust practices</li></ul><b>
Technical / Methodological Skills</b><ul><li>
Experience with near-real-time or CDC ingestion, ideally Snowflake Openflow or comparable tools such as Fivetran, Debezium, or Kafka</li><li>
Strong Python skills</li><li>
Experience building APIs and services such as REST or GraphQL</li><li>
Experience exposing data and tools through interfaces such as MCP servers</li><li>
Solid AWS stack know-how</li><li>
Experience with BI tools such as Amazon QuickSight, Apache Superset, Looker, Tableau, Power BI, or similar platforms</li><li>
Strong understanding of how data should be structured for AI, analytics, semantic access, and product consumption</li><li>
Comfortable with structured, spec-driven delivery and AI-assisted development workflows</li></ul><b>
Ways of Working &amp; Mindset</b><ul><li>
Fullstack ownership mindset with the ability to own capabilities from design and implementation to production operations</li><li>
Strong specialization in semantic and analytics engineering combined with the willingness to contribute across adjacent layers</li><li>
Ability to translate business meaning into reliable, reusable, and scalable data products</li><li>
Strong quality mindset around semantic consistency, validation, data trust, and long-term maintainability</li><li>
Comfortable working in an evolving platform environment that may expand toward unstructured data and lakehouse-style capabilities</li></ul><b>
Communication &amp; Collaboration</b><ul><li>
Ability to work closely with platform, AI, solution, product, and business-facing teams</li><li>
Strong collaboration skills for aligning on contracts, source semantics, KPI logic, and integration expectations</li><li>
Clear communication style when translating technical data models into business meaning</li><li>
Comfortable collaborating with Data &amp; Platform Architecture, Data Engineering, AI Engineering, and solution teams</li><li>
Fluent English skills for working effectively in an English-speaking environment</li></ul><b>
Nice to have</b><ul><li>
Some AI agent engineering experience, ideally with Amazon Bedrock AgentCore or frameworks such as LangChain, LangGraph, or Deep Agents</li><li>
Some data science experience, such as statistics, feature engineering, experimentation, or machine learning</li><li>
Experience with Snowflake Cortex AI</li><li>
Experience supporting AI use cases through feature engineering, context shaping, or semantic enrichment</li><li>
Experience with data quality, lineage, and validation practices</li><li>
Experience in multi-team SaaS environments</li><li>
Experience with unstructured data enrichment or hybrid structured and unstructured semantic models</li><li>
General understanding of Java and/or frontend React</li></ul><p></p><h4 class="jobSectionHeader"><b>
What do we offer?</b></h4><p></p><h3 class="jobSectionHeader"><b>
Purpose &amp; Impact</b></h3><ul><li><div>
A role with real meaning that is both enjoyable and impactful</div></li><li><div>
The opportunity to make a sustainable contribution through your work</div></li><li><div>
Attractive compensation as part of a growing company</div></li></ul><h3 class="jobSectionHeader"><b>
Attractive Benefits</b></h3><ul><li><div>
30 days of paid vacation</div></li><li><div>
EGYM Wellpass membership to support your work-life balance</div></li><li><div>
Flexible working models to better balance work and personal life</div></li></ul><h3 class="jobSectionHeader"><b>
Modern Work Environment &amp; Flexibility</b></h3><ul><li><div>
Inspiring office spaces in the heart of Munich</div></li><li><div>
Flexible remote work from home or anywhere within Germany</div></li></ul><h3 class="jobSectionHeader"><b>
Great Team</b></h3><ul><li><div>
A professional, welcoming, and highly motivated team</div></li><li><div>
Collaboration at eye level with an open feedback culture</div></li><li><div>
An environment where people support each other and grow together</div></li></ul><h3 class="jobSectionHeader"><b>
Flat Hierarchies &amp; Ownership</b></h3><ul><li><div>
Short decision-making paths and real opportunities to shape things</div></li><li><div>
Freedom to contribute and implement your own ideas</div></li><li><div>
A high level of ownership and responsibility</div></li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Application process</b></h4><p><i>
Please apply exclusively via our online application portal. This ensures a smooth and fair process for all candidates. Applications submitted by email or LinkedIn will not be considered. Thank you for your understanding.</i></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
IntegrityNext, a global leader in supply chain sustainability software, stands at the forefront of corporate sustainability and compliance. Since 2016, businesses have trusted IntegrityNext to simplify ESG compliance, reduce risks, and address critical challenges like due diligence, decarbonization, and sustainability reporting. With over 500 customers and 2 million suppliers across 190 countries, IntegrityNext is transforming supply chains into engines of transparency and sustainable growth. For more information, visit www.integritynext.com.<br>
<br>
We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We welcome applicants from all backgrounds and strive to create an environment where everyone feels respected and heard. Join us in our mission to build a more equitable and inclusive world.</p></div>

Fullstack Engineer (Semantic / Analytics) (m/f/d)

<div><h4 class="jobSectionHeader"><b>Join us!</b></h4><p>
At IntegrityNext, we are building a shared AI and data platform on AWS on top of our supply chain and product compliance platform. This platform will power semantic data access, BI, APIs, and agentic product experiences across our product landscape.<br>
As <b>AI Application Engineer (m/f/d)</b>, you will build and ship AI-powered product capabilities end-to-end. You will work hands-on across Python-based AI services, agent workflows, web and document retrieval pipelines, unstructured data processing, APIs, integrations, and lightweight React prototypes where needed.<br>
Our AI application layer is built around LangChain, LangGraph, Deep Agents, and Amazon Bedrock AgentCore. The focus is on product delivery rather than research, covering both structured-data-driven AI experiences and unstructured-data processing for retrieval, agent workflows, and future AI-native product capabilities.<br>
We work according to &ldquo;You build it, you run it&rdquo;, own capabilities from design to production operations, follow spec-driven development, and actively use AI-assisted engineering tools such as Claude Code, Cursor, and similar tools.</p><h4 class="jobSectionHeader"><b><br>
What can you expect?</b></h4><p><b>
Build agentic AI product capabilities</b></p><ul><li>
Build AI-powered product features using retrieval mechanisms, workflows, tools, and multi-step agent patterns</li><li>
Turn product and business needs into reusable, reliable AI capabilities for internal and customer-facing use cases</li><li>
Implement AI capabilities in Python using LangChain, LangGraph, Deep Agents, and Bedrock AgentCore</li><li>
Design and build AI APIs with clean service boundaries for integration into Java-based product systems</li></ul><b>
Work with structured, unstructured, web, and document data</b><ul><li>
Build and maintain retrieval and unstructured-data processing pipelines for documents, web content, and other sources used in agent workflows</li><li>
Work with content and PDF extraction, link following, candidate ranking and selection, deduplication, and source or provenance tracking</li><li>
Collaborate with platform and semantic teams to ground AI features in reliable, well-structured data</li><li>
Support AI experiences based on structured business data, semantic layers, and analytics-driven use cases</li></ul><b>
Improve AI quality, reliability, and production readiness</b><ul><li>
Drive prompt engineering and context engineering to improve quality, reliability, and usability</li><li>
Implement evals, regression checks, prompt-injection tests, scenario-based validation, and quality controls</li><li>
Help define evaluation harnesses, testing approaches, and validation methods for agentic and retrieval systems</li><li>
Support AI observability, tracing, quality monitoring, maintainability, and production operations</li></ul><b>
Contribute across product and engineering layers</b><ul><li>
Contribute to lightweight frontend prototypes and conversational or workflow-driven UI flows in React where needed</li><li>
Work closely with semantic, data platform, architecture, product, and engineering teams</li><li>
Help establish practical spec-driven and AI-assisted engineering workflows that improve quality, speed, and maintainability</li></ul><p></p><h4 class="jobSectionHeader"><b>
What should you bring along?</b></h4><p><b>
Experience &amp; Domain Focus</b></p><ul><li>
Strong practical experience with Python and proven experience building AI-powered product features in production or near-production environments</li><li>
Experience with LLM application development, including agentic RAG, tool use, workflow orchestration, prompt engineering, and context design</li><li>
Strong knowledge of agentic AI concepts such as agent workflows, planning patterns, tool usage, multi-step reasoning architectures, and agent harnesses</li><li>
Experience building multi-step agents or pipelines that retrieve, read, and reason over information from web and document sources with a focus on grounding, attribution, and reliability</li><li>
Experience building or maintaining unstructured-data pipelines for AI applications, including document and web-page processing, text extraction, retrieval, and AI-oriented data preparation</li><li>
Experience designing backend APIs and integrating AI capabilities into larger product landscapes through clear service boundaries</li></ul><b>
Technical / Methodological Skills</b><ul><li>
Hands-on experience with LangChain and/or LangGraph</li><li>
Familiarity with Deep Agents or similar multi-step or planning-oriented agent harnesses is a strong plus</li><li>
Knowledge of Amazon Bedrock AgentCore and strong overall AWS knowledge, including OpenSearch, S3, and DynamoDB</li><li>
Experience with web search APIs such as SERP API, Linkup, or Tavily, and crawling or extraction frameworks such as Firecrawl or Crawl4AI</li><li>
Experience with headless or JS-rendering fetching using tools such as Playwright or Puppeteer</li><li>
Comfortable with content and PDF extraction, link following, candidate ranking and selection, deduplication, and source or provenance tracking across varied, multilingual, and often unreliable web sources</li><li>
Experience with MCPs, A2A, AgentCore Gateway, Agent Skills, Agent plugins, and testing these components</li><li>
Experience with evaluation harnesses, regression testing, prompt-injection testing, and quality controls for AI and retrieval systems</li><li>
Experience with observability, tracing, or monitoring for AI or backend systems</li><li>
Ability to contribute to lightweight frontend or prototype work in React when needed</li></ul><b>
Ways of Working &amp; Mindset</b><ul><li>
Strong product delivery mindset with a focus on building and shipping AI-powered capabilities end-to-end</li><li>
Comfortable owning AI-powered features in production, not just prototyping them</li><li>
Strong quality mindset and the ability to improve AI systems through testing, evaluation, iteration, and harness-based validation</li><li>
Comfortable working with structured specifications, clear interfaces, spec-driven development, and AI-assisted engineering workflows</li><li>
Deep specialization in AI engineering combined with the willingness to contribute across adjacent layers when needed</li><li>
Practical, hands-on approach to solving complex product and platform challenges</li></ul><b>
Communication &amp; Collaboration</b><ul><li>
Comfortable collaborating closely with semantic, data platform, architecture, product, and engineering teams</li><li>
Able to work across backend implementation, AI application development, APIs, and lightweight frontend prototyping</li><li>
Strong ability to translate product and business needs into reliable technical capabilities</li><li>
Clear communication style and willingness to share knowledge across teams</li><li>
Fluent English skills for working effectively in an English-speaking environment</li></ul><b>
Nice to have</b><ul><li>
Experience with large-scale or polite crawling, deduplication, and source or provenance tracking</li><li>
Experience with entity resolution and attribution across heterogeneous web sources</li><li>
Experience with multilingual document and web-content processing and retrieval</li><li>
Experience designing agentic architectures, evaluation harnesses, and quality frameworks for AI systems</li><li>
Experience with AI observability and tracing tools</li><li>
Experience with React and frontend prototyping for conversational or workflow-driven experiences</li><li>
Experience working with structured business data, semantic layers, or analytics-driven AI use cases</li><li>
Experience with advanced document pipelines, retrieval systems, and unstructured-data-based AI features</li><li>
Experience in multi-team SaaS environments</li></ul><p></p><h4 class="jobSectionHeader"><b>
What do we offer?</b></h4><p></p><h3 class="jobSectionHeader"><b>
Purpose &amp; Impact</b></h3><ul><li><div>
A role with real meaning that is both enjoyable and impactful</div></li><li><div>
The opportunity to make a sustainable contribution through your work</div></li><li><div>
Attractive compensation as part of a growing company</div></li></ul><h3 class="jobSectionHeader"><b>
Attractive Benefits</b></h3><ul><li><div>
30 days of paid vacation</div></li><li><div>
EGYM Wellpass membership to support your work-life balance</div></li><li><div>
Flexible working models to better balance work and personal life</div></li></ul><h3 class="jobSectionHeader"><b>
Modern Work Environment &amp; Flexibility</b></h3><ul><li><div>
Inspiring office spaces in the heart of Munich</div></li><li><div>
Flexible remote work from home or anywhere within Germany</div></li></ul><h3 class="jobSectionHeader"><b>
Great Team</b></h3><ul><li><div>
A professional, welcoming, and highly motivated team</div></li><li><div>
Collaboration at eye level with an open feedback culture</div></li><li><div>
An environment where people support each other and grow together</div></li></ul><h3 class="jobSectionHeader"><b>
Flat Hierarchies &amp; Ownership</b></h3><ul><li><div>
Short decision-making paths and real opportunities to shape things</div></li><li><div>
Freedom to contribute and implement your own ideas</div></li><li><div>
A high level of ownership and responsibility</div></li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Application process</b></h4><p><i>
Please apply exclusively via our online application portal. This ensures a smooth and fair process for all candidates. Applications submitted by email or LinkedIn will not be considered. Thank you for your understanding.</i></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
IntegrityNext, a global leader in supply chain sustainability software, stands at the forefront of corporate sustainability and compliance. Since 2016, businesses have trusted IntegrityNext to simplify ESG compliance, reduce risks, and address critical challenges like due diligence, decarbonization, and sustainability reporting. With over 500 customers and 2 million suppliers across 190 countries, IntegrityNext is transforming supply chains into engines of transparency and sustainable growth. For more information, visit www.integritynext.com.<br>
<br>
We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We welcome applicants from all backgrounds and strive to create an environment where everyone feels respected and heard. Join us in our mission to build a more equitable and inclusive world.</p></div>

Full Stack AI Engineer (m/f/d)

CLERA

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

Founding Product Engineer

Twentyfour Industries

<div><h4 class="jobSectionHeader"><b>What we&rsquo;re looking for</b></h4><p>
We are looking for a Senior Flight Software Engineer to shape the architectural design of our autonomous flight systems. In this role, you will bridge the gap between theoretical Guidance, Navigation, and Control (GNC) and production-grade software engineering. You will not simply configure existing autopilots; you will engineer the core logic that defines aircraft behavior. Your focus will be on translating complex flight dynamics and control algorithms into highly efficient, deterministic, and safety-critical C++ architectures within the autopilot (e.g. PX4/ArduPilot) ecosystem.</p><h4 class="jobSectionHeader"><b><br>
The day-to-day</b></h4><p><b>
1. GNC Algorithm Development &amp; Tuning</b></p><ul><li><b><br>
Control Laws:</b> Design and implement advanced control strategies (e.g., Adaptive PID, LQR, or Model Predictive Control - MPC) to ensure stable flight in highly dynamic and wind-disturbed environments.</li><li><b>
State Estimation:</b> Work extensively with the EKF (Extended Kalman Filter) within the flight stack to fuse data from IMUs, GNSS, Barometers, and Airspeed sensors for precise attitude and position estimation.</li><li><b>
Trajectory Planning:</b> Develop guidance logic for complex maneuvers, including path following, dynamic obstacle avoidance, and energy-efficient cruising.</li></ul><b>
2. Flight Stack Architecture (e.g: PX4 / ArduPilot)</b><br>
<ul><li><b>
Distributed GNC Strategy:</b> Architect the system logic split, determining which control loops run on the <b>Hard Real-Time</b> Flight Controller (stabilization/safety) versus the <b>High-Performance</b> Companion Computer (complex autonomy).</li><li><b>
Flight Stack Extension:</b> Modify PX4/ArduPilot firmware internals to expose custom APIs and flight modes, enabling advanced <b>Offboard Control</b> capabilities beyond standard configurations.</li><li><b>
High-Level Implementation:</b> Develop robust GNC algorithms (e.g., Trajectory Optimization, MPC) on the companion computer, ensuring low-latency synchronization with the flight core via e.g. ROS 2/DDS or MAVLink.</li></ul><b>
3. Simulation &amp; Validation</b><br>
<ul><li><b>
SITL/HITL Pipelines:</b> Understand and maintain high-fidelity Software-In-The-Loop (SITL) and Hardware-In-The-Loop (HITL) simulation environments to validate GNC logic before real flight.</li><li><b>
Flight Data Analysis:</b> Analyze complex flight logs to debug and tune the whole aircraft from the software and autonomy side.</li></ul><p></p><h4 class="jobSectionHeader"><b>
You should apply if you</b></h4><p></p><ul><li><b>
The Flight Stack:</b> Expert-level proficiency in <b>PX4 Autopilot</b> or <b>ArduPilot</b>. You must understand the architecture.</li><li><b>
GNC Fundamentals:</b> Deep understanding of rigid body dynamics, kinematics, feedback control theory, and sensor fusion math.</li><li><b>
Language:</b> Proficiency in C++ for embedded systems and Python for analysis/scripting.</li><li><b>
Embedded Systems:</b> Strong knowledge of RTOS concepts (threading, mutexes, interrupts, DMA) and bare-metal communication protocols (SPI, I2C, UART, CAN/UAVCAN).</li><li><b>
Experience:</b> 4+ years in embedded robotics or aerospace, with a specific focus on flight control.</li><li><b>
Real-world Experience:</b> Comfortable conducting outdoor flight tests, including manual piloting and GCS mission monitoring.</li></ul><p></p><h4 class="jobSectionHeader"><b>
What we offer</b></h4><p></p><ul><li><p><b>
Real impact &amp; ownership:</b> Shape high-tech defense systems and take responsibility from day one.</p></li><li><p><b>
Mission driven environment: </b>Work on technologies that matter for European security<br>
and sovereignty.</p></li><li><p><b>
Competitive package:</b> Competitive salary, EGYM Wellpass, corporate benefits, and equity options aligned with role and level.</p></li><li><p><b>
Deep tech environment:</b> Get hands-on experience with cutting-edge drone technology and real operational use cases.</p></li><li><p><b>
Grow fast: </b>Steep learning curve for juniors, strategic influence and leadership opportunities for seniors.</p></li><li><p>
 <b>Startup mindset meets defence innovation:</b> flat hierarchies, fast decisions, and space for your ideas.</p></li><li><p><b>
Flexibility:</b> Flexible hours, remote options, and relocation support.</p></li><li><p><b>
Strong team:</b> International, driven colleagues and a culture built on exchange, trust, and shared success.</p></li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
Twentyfour Industries is committed to building a fair, inclusive, and high-performance workplace where people from all backgrounds can contribute and thrive. Our team brings together individuals with different perspectives, experiences, and skills to shape the future of European security and technology.<br>
All applicants will receive equal consideration for employment regardless of gender, age, disability, ethnic or social origin, religion or belief, sexual orientation, or any other status protected by applicable European or national law.<br>
<br>
We particularly welcome applications from individuals who are underrepresented in the technology and defense sector, including women, people with disabilities, and those from diverse cultural backgrounds.<br>
<br>
We aim to provide a respectful, supportive, and transparent recruitment process. If you require adjustments to take part in our hiring process, please let us know so we can accommodate your needs.<br>
If you share our mission and are motivated to work on challenges with real-world impact, we look forward to your application.</p></div>

Senior Controls Engineer (GNC & Autonomy)

Intrinsic

<div><div><p>Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what's possible for industrial robotics in the near future &ndash; with software and data at the core.</p>
<p>
Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.</p></div><h2 class="jobSectionHeader"><b>
Role</b></h2>
<p>
As a Staff Robotics Software Engineer and Researcher, you will take full technical ownership of developing and deploying robotics grasping and manipulation algorithms, leading the end-to-end lifecycle from foundational research to global deployment. You will help define the architecture and long-term strategy that enables robots to interact with the physical world, researching and scoping innovative solutions for robust grasping in industrial settings. By abstracting the inherent complexity of robotic manipulation into intuitive workflows, you will work with a multidisciplinary team to integrate and validate high-availability software within complex, real-world industrial applications for manufacturing environments.</p>
<h2 class="jobSectionHeader"><b>
How your work moves the mission forward</b></h2>
<ul><li>Design and implement robust and efficient production-ready algorithms for robotic grasping and manipulation.</li>
<li>Identify opportunities to apply cutting-edge advancements in robotics and apply them to practical industrial problems</li>
<li>Transform complex partner requirements into highly reliable and functional technical outcomes.</li>
<li>Mentor junior engineers, contribute to the strategic roadmap and drive the evolution of our robotic software stack for global industrial deployment.</li>
</ul><h2 class="jobSectionHeader"><b>Skills you will need to be successful</b></h2>
<ul><li>Master's degree in Robotics, Computer Science, or a related field, with 8+ years of experience in robotics.</li>
<li>3+ years of professional experience in robotic grasp planning.</li>
<li>2 years of leading substantial, ambiguous technical projects from inception to deployment</li>
<li>Strong foundational knowledge in linear algebra, spatial transformations, and rigid body dynamics.</li>
<li>6 years of professional experience programming robotics software in C++ and Python, with a proven track record of shipping production-quality code.</li>
<li>Experience Machine Learning in applied robotics context</li>
</ul><h2 class="jobSectionHeader"><b>Skills that will differentiate your candidacy</b></h2>
<ul><li>PhD in Robotics and Machine Learning, Reinforcement Learning, or a related field with a focus on robotic manipulation, grasp planning, or motion planning.</li>
<li>ML Frameworks: Deep expertise with JAX, TensorFlow, or PyTorch.</li>
<li>Experience in developing the entire stack: ranging from writing kinematics, motion generation, to system integration and testing.</li>
</ul><div><p>
At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.</p>
<p>
If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.</p></div></div>

Staff Robotics Software Engineer - Grasping

Explore 198+ Full stack software engineer in Munich this July. Find roles across top companies and apply now to boost your career.