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forward deployed engineer (technical builder) Jobs in Munich

build and deployment engineer

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
About the Role
Production experience required. Builder mindset non-negotiable.
Salesforce is hiring Forward Deployed Engineers &mdash; experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll work as part of a delivery team, partnering closely with a Deployment Strategist ( Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption) to co-build solutions that go live in production environments from day one. Engagements range from a single large strategic customer to multiple accounts simultaneously. The common thread is real code, real environments, and measurable business impact. This work spans configuration, customisation, and full-stack deployment &mdash; shipping solutions customers depend on.
The Builder Experience
<ul><li>AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools &mdash; Cursor, Claude, and Salesforce coding products like Vibes &mdash; embedded into your day-to-day workflow.
</li><li>Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself.
</li><li>Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months &mdash; spanning Agentforce, data, platform, and headless architectures and your field insight will feed directly to the product teams building them.
</li><li>Continuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers.
</li></ul>What You'll Actually Be Building
<ul><li>Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it.
</li><li>Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques.
</li><li>Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production.
</li><li>Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output
</li><li>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
</li><li>Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months.
</li><li>Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before.
</li><li>Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop.
</li><li>Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship.
</li></ul>You're Our Forward Deployed Engineer If&hellip;
<ul><li>Your fluent in German and English
</li><li>You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models
</li><li>You have a degree in Computer Science or a related field
</li><li>You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) &mdash; this is a requirement, not a nice-to-have.
</li><li>You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex &mdash; and willing to add to that list as the work demands.
</li><li>You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change.
</li><li>You understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them.
</li><li>You can hold your own in a room with sales teams and customer architects.
</li><li>You ship quality code and evaluate AI outputs with engineering rigor.
</li><li>You actively tinker with the evolving AI/data landscape &mdash; piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
</li><li>You thrive in the group chat that's building something, not just talking about it.
</li><li>You're excited to travel ~25% of the time, working directly alongside customers.
</li></ul>Nice-to-Haves
<ul><li>Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist)
</li><li>Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns
</li><li>Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery)
</li><li>Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
We warmly invite applications from individuals with a severe disability status (Schwerbehinderung). Salesforce is committed to equality and creating a workplace that reflects society. We set ambitious goals for representation, emphasize accessibility and inclusion, and continuously learn and improve. Learn more about our inclusion initiatives here (https://www.salesforce.com/company/accessibility/workplace-resources/#ally-sf-benefits). In 2019, Salesforce joined The Valuable 500 to champion disability inclusion in business leadership.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Forward Deployed Engineer (Technical Builder)

Autonomous Teaming Solutions

<div><h4 class="jobSectionHeader">What we offer</h4><ul><li>
Work in an international, agile team creating the future of autonomous systems</li><li>
Grow your career in a expanding and ambitious engineering team</li><li>
Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy</li><li>
Benefit from a steep learning curve and continuous development</li><li>
Enjoy team events and a strong, collaborative culture</li></ul><h4 class="jobSectionHeader"> 
Your mission</h4>
Build and maintain the systems that allow our robotics software to be reliably developed, tested, and deployed. 
 
You&rsquo;ll work across CI/CD, build systems, and deployment, helping ensure our autonomy stack runs smoothly from development to real-world operation. 
 
You will:<ul><li>
Design and maintain CI/CD pipelines</li><li>
Improve build systems (CMake, Nix, toolchains, caching)</li><li>
Support deployment across environments (local, cloud, embedded)</li><li>
Work with embedded Linux systems (e.g., Yocto)</li><li>
Develop scripts and automation tools</li><li>
Debug build, integration, and deployment issues</li><li>
Collaborate with robotics, ML, and embedded engineers</li></ul><h4 class="jobSectionHeader">
Your profile</h4><ul><li>
Strong fundamentals in software engineering (data structures, systems, debugging)</li><li>
Experience with at least one programming language (Python, C++, or Bash)</li><li>
Familiarity with Linux-based systems and development environments</li><li>
Basic understanding of CI/CD concepts and version control workflows (Git)</li><li>
Interest in build systems, automation, and infrastructure</li><li>
Strong problem-solving skills and willingness to learn quickly</li><li>
Structured and reliable working style with attention to detail</li><li>
Interest in robotics, embedded systems, or real-world deployment challenges is a strong plus</li></ul><h4 class="jobSectionHeader"> 
Nice to have</h4><ul><li>
Experience with CMake or modern build systems</li><li>
Exposure to Nix or reproducible build environments</li><li>
Familiarity with Yocto or embedded Linux systems</li><li>
Experience with CI/CD tools (GitLab, GitHub, Bitbucket pipelines)</li><li>
Docker or containerization experience</li><li>
Experience packaging applications (e.g., Debian, Snap, AppImage)</li><li>
Basic understanding of toolchains, cross-compilation, or caching strategies</li></ul><h4 class="jobSectionHeader"> 
What else</h4><ul><li>
Outside-the-box creativity with a blend of conceptual and systematic design thinking.</li><li>
High intrinsic motivation, attention to detail, and strong problem-solving mindset.</li><li>
Structured, methodical, and reliable execution, even under uncertainty.</li><li>
Humble, collaborative, and mission-driven &mdash; values collective success over ego.</li><li>
High ethical standards and disciplined work ethic.</li><li>
Extra-curricular achievements, leadership, or unique projects are a plus.</li><li>
NATO-aligned nationality or close ally citizenship is required.</li></ul><h4 class="jobSectionHeader">
About us</h4>
The world is changing. Exponential technologies are enabling new types of security threats. ATS is committed to staying ahead by building nimble, scalable, and cost-effective defences. We are looking for passionate team members who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies. 
Who we are: Autonomous Teaming is a defence-tech start-up specializing in machine vision solutions. Driven by cutting-edge innovation, our team works on next-generation technologies designed to meet rapidly evolving security challenges. 
What we do: We develop systems that enable computers and sensors to operate as coordinated teams, collaborating in real time to counter AI-powered asymmetric threats at scale &mdash; including drone swarms and other UXVs. Our mission is to build resilient, intelligent defence capabilities that perform reliably in the most demanding environments. 
How we work: We value close, in-person collaboration as the foundation for building complex, high-impact technology, while maintaining flexibility aligned to role and team needs. Our culture is built on ownership, responsibility, and trust &mdash; with a shared commitment to growing and building together. 
Where we are: Based in Munich, Berlin, and Toulouse, we are expanding rapidly across Europe with plans to open additional office hubs.</div>

Platform / DevOps Engineer (m/f/d) — CI/CD & Developer Environments

Tulip Interfaces

<div>***This role is located 50% of the time at a client location within the assigned country***

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage's Top Workplaces USA, and one of Built In Boston's &quot;Best Places to Work&quot; and &quot;Best Midsize Places to Work.&quot;

About You:

As a Forward Deployed Engineer (FDE), you work directly with manufacturers to design, build, and deploy solutions on Tulip's Frontline Operations Platform. You operate at the intersection of solution engineering, manufacturing operations, and customer outcomes, translating real shop-floor problems into scalable, production-ready solutions.

You will embed with customers at their facility to rapidly implement applications, integrations, and workflows that improve quality, productivity, and traceability across manufacturing operations.

What skills do I need?

Must be able to travel up to 50%
<ul>
<li>5+ years of experience in manufacturing, industrial software, or manufacturing-focused technology roles, with at least 4 years of experience in direct, customer-facing or consultant roles</li>
<li>Ability to walk a shop floor and independently identify opportunities for operational improvement</li>
<li>Experience with Operations Technology, including MES, ERP, quality, or production systems (Architecture and implementation experience strongly preferred)</li>
<li>Experience integrating systems and devices in manufacturing environments</li>
<li>Strong understanding of manufacturing workflows, quality, traceability, and operational constraints</li>
<li>Proven ability to lead complex technical or operational initiatives end to end</li>
<li>Strong project management, organization, and communication skills</li>
<li>Comfortable and experienced in customer-facing, technically deep conversations</li>
<li>Ability to think creatively and strategically while delivering practical solutions</li>
<li>A demonstrated commitment to viewing problems through the customer's lens</li>
<li>Ability to learn quickly and lead by example in ambiguous environments</li>
<li>BS degree in Engineering or a related technical field (or equivalent experience)</li>
</ul>
Key Responsibilities:

Customer-Embedded Solution Delivery
<ul>
<li>Partner with plant-level and corporate stakeholders at a customer's site (operators, engineers, IT, quality, operations leadership)</li>
<li>Lead design, build, and deployment of customer-specific Tulip solutions</li>
<li>Work side by side with customers and partners to implement solutions in live manufacturing environments</li>
<li>Deploy solutions to live production environments with minimal disruption</li>
</ul>
OT / IT Integration
<ul>
<li>Integrate with shop-floor systems such as PLCs, MES/ERP, and quality systems</li>
<li>Work with machine data, events, and production context (orders, materials, routings)</li>
<li>Troubleshoot and resolve complex issues spanning software, data, and operational workflows</li>
<li>Serve as the technical owner for forward-deployed customer solutions</li>
</ul>
Technical Leadership &amp; Enablement
<ul>
<li>Serve as the technical authority during customer deployments</li>
<li>Advise on architecture, scalability, security, and reliability in regulated or high-availability environments</li>
<li>Document solutions and share learnings across internal teams</li>
<li>Communicate and work with broader customer team to strategize for success</li>
</ul>
Product &amp; Platform Feedback
<ul>
<li>Represent the voice of the customer to Product and Engineering teams, and collaborate to influence Product roadmap and feature design</li>
<li>Help generalize customer-specific solutions into reusable product capabilities</li>
<li>Contribute to internal process development, best practices, and cross-team collaboration</li>
</ul>
Key Collaborators:
<ul>
<li>Tulip Account Executives</li>
<li>Customer Success Managers</li>
<li>Product Managers</li>
<li>Engineering</li>
</ul>
Working At Tulip

We know even great candidates experience imposter syndrome. Even if you don't match every requirement, applying gives you the opportunity to be considered. We're building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:
<ul>
<li>Direct impact on product and culture</li>
<li>Company equity</li>
<li>Competitive benefits package including Health, Dental, Vision, Short-term Disability, Long-term Disability, Life Insurance, AD&amp;D Insurance, Flexible Spending Account (FSA), Commuter Benefits, Parental Leave, and 401(K)</li>
<li>Flexible work schedule and unlimited vacation policy</li>
<li>Virtual company events and happy hours</li>
<li>Fitness subsidies</li>
<li>An inclusive, dog-friendly office with diverse and inspiring colleagues</li>
</ul>
We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.

The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across the EU. Within the range posted, actual compensation will be determined depending on multiple factors including job-related knowledge &amp; skills, experience, business needs, geographical location, market compensation data, and internal equity. Expected compensation ranges for this role may change over time. The salary range for this position is 70,000 - 105,000 Euro per year.<div>
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.</div></div>

Forward Deployed Engineer - EMEA

Hawk

<div>
 
 About Us
 
 
 
 Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers globally are using Hawk&rsquo;s powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML compliance and fraud prevention by identifying more crime while maximizing efficiency by reducing false positives. With our solution, we are playing a vital role in the global fight against Money Laundering, Fraud, or the financing of terrorism. We offer a culture of mutual trust, support and passion &ndash; while providing individuals with opportunities to grow professionally and make a difference in the world.
 
 
 
 Why this role exists
 
 
 
 Customer Cloud is a critical part of Hawk&rsquo;s growth. It enables customers to run Hawk AI in their own cloud environment, meeting regulatory, security, and data residency requirements.
 
 
 Today, Customer Cloud relies too heavily on bespoke work. Pre-sales often requires deep engineering input, deployments take longer than they should, and operational responsibility is not evenly distributed.
 
 
 We are standardising and simplifying this so Customer Cloud becomes easier to sell, faster to deploy, and simpler to operate at scale.
 
 
 This role exists to help drive that shift. You will help turn Customer Cloud from a bespoke, engineer-heavy process into a standardised, repeatable product.
 
 
 You will approach Customer Cloud as a platform problem, turning one-off solutions into automation, patterns, and scalable, reusable systems.
 
 
 
 What You&rsquo;ll Do
 
 
 
 You will work across the full lifecycle of Customer Cloud environments, building the systems, automation, and patterns that make Customer Cloud easier to sell, faster to deploy, and simpler to operate at scale. You will take ownership of the systems and patterns that make Customer Cloud scalable.
 
 
 
 Enable technical pre-sales
 
 
 
 <ul>
 <li>
 Work with our Sales and Customer Success teams to help them answer technical questions during the sales process.
 </li>
 <li>
 Provide clear guidance on architecture, deployment approaches, and operational expectations so teams can confidently land new Customer Cloud customers.
 
 
 </li>
 </ul>
 
 Standardise onboarding and deployment
 
 
 
 <ul>
 <li>
 Turn Customer Cloud onboarding into a fast, repeatable process.
 </li>
 <li>
 Build automation, tooling, and deployment patterns that reduce environment setup from months to days (or even hours) and remove unnecessary manual effort.
 
 
 </li>
 </ul>
 
 Build reliable, operable environments
 
 
 
 <ul>
 <li>
 Design and evolve deployment patterns that ensure Customer Cloud environments are stable, observable, and easy to operate.
 </li>
 <li>
 Work across platforms such as AWS, GCP, Azure, OpenShift, and Tanzu to reliably run Hawk across different customer infrastructure environments.
 
 
 </li>
 </ul>
 
 Enable scalable operations and support
 
 
 
 <ul>
 <li>
 Partner with the Technical Support team and engineering teams to resolve complex issues, capture operational knowledge, and turn solutions into runbooks, tooling, and documentation.
 </li>
 <li>
 The goal is simple: reduce repeat issues and minimise day-to-day engineering involvement in support.
 
 
 </li>
 </ul>
 
 What Good Looks Like
 
 
 
 <ul>
 <li>
 We deploy new customer environments quickly and consistently
 </li>
 <li>
 Pre-sales questions are answered quickly using clear patterns and documentation
 </li>
 <li>
 Customer Cloud environments go live quickly and predictably
 </li>
 <li>
 Fewer incidents caused by environment inconsistencies
 </li>
 <li>
 Technical Support resolves most issues without engineering involvement
 </li>
 <li>
 Customer Cloud becomes a predictable, scalable part of the business
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 Solid experience building and operating cloud-native systems
 </li>
 <li>
 Strong working knowledge of Kubernetes and containerised applications
 </li>
 <li>
 Experience with at least one major cloud provider (AWS, GCP, or Azure)
 </li>
 <li>
 Ability to debug and resolve issues across infrastructure and application layers
 </li>
 <li>
 Comfort working across build and operate, not just feature development
 </li>
 <li>
 Clear, structured thinking: you simplify rather than complicate
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with OpenShift or VMware Tanzu
 </li>
 <li>
 Familiarity with data-heavy systems (e.g. OpenSearch, Kafka, databases)
 </li>
 <li>
 Experience supporting enterprise customers or regulated environments
 </li>
 <li>
 Exposure to CI/CD, infrastructure as code, and deployment automation
 
 
 </li>
 </ul>
 
 How We Work
 
 
 
 <ul>
 <li>
 We optimise for outcomes, not activity
 </li>
 <li>
 We build for scale, not one-off success
 </li>
 <li>
 We reduce complexity wherever possible
 </li>
 <li>
 We take ownership end-to-end
 
 
 </li>
 </ul>
 
 The opportunity
 
 
 
 Customer Cloud will be a major driver of Hawk&rsquo;s enterprise growth. Done well, it becomes a competitive advantage. Done badly, it slows everything down. You&rsquo;ll be in the middle of that shift, helping us build a Customer Cloud platform that scales with the business rather than slowing it down.
</div>

Customer Cloud Engineer

osapiens

<div>
 
 Department:
 
 osapiens Terra
 
 
 
 Location:
 
 M&uuml;nchen
 
 
 
 Description
 
 
 
 
 About the role
 
 
 
 As a Machine Learning Engineer (m/f/x), you will work on the machine learning systems powering our geospatial analytics platform. You will contribute to the development, deployment, and improvement of production ML models that analyze satellite imagery and detect environmental risks at scale. You will collaborate closely with product managers, software engineers, and geospatial experts to build scalable ML solutions that support real-world sustainability and compliance use cases. Your work may include improving existing deforestation detection models, developing new deep learning approaches for remote sensing data, and building reliable tooling and infrastructure for model training and deployment.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Develop, train, and improve machine learning models for geospatial and satellite imagery analysis
 </li>
 <li>
 Contribute to the full ML lifecycle, including experimentation, evaluation, deployment, monitoring, and maintenance
 </li>
 <li>
 Work on production systems that process large-scale satellite and geospatial datasets
 </li>
 <li>
 Collaborate with ML engineers, backend engineers, product teams, and geospatial analysts to deliver reliable analytics products
 </li>
 <li>
 Improve model performance, scalability, and robustness across different geographies and datasets
 </li>
 <li>
 Build and optimize data pipelines, tooling, and workflows for efficient ML development
 </li>
 <li>
 Apply modern deep learning and statistical techniques to remote sensing and environmental data
 </li>
 <li>
 Support rapid experimentation while maintaining production reliability
 </li>
 <li>
 Contribute to technical discussions, code reviews, and engineering best practices
 
 
 </li>
 </ul>
 
 You May Be a Good Fit If You
 
 
 
 <ul>
 <li>
 Have a strong quantitative background in computer science, engineering, mathematics, remote sensing, or a related field
 </li>
 <li>
 Have strong programming skills in Python and hands-on experience with modern deep learning frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 Hands-on experience with MLOps tools such as Weights &amp; Biases, cloud infrastructure including Amazon Web Services, and/or high-performance computing environments
 </li>
 <li>
 Feeling comfortable developing, training, and optimizing machine learning models in production environments
 </li>
 <li>
 Communicate clearly and collaborate effectively across technical and non-technical teams
 </li>
 <li>
 Have experience working with large datasets and distributed data processing workflows
 </li>
 <li>
 Work effectively with AI-assisted development and coding tools
 </li>
 <li>
 Are fluent in English (C1+). German skills are a plus
 
 
 </li>
 </ul>
 Nice to have
 
 
 <ul>
 <li>
 Experience with computer vision tasks such as segmentation, classification, change detection, or time-series analysis
 </li>
 <li>
 Experience working with remote sensing or satellite data (SAR, optical, LIDAR)
 </li>
 <li>
 Familiarity with geospatial data processing libraries and tools
 </li>
 <li>
 Experience deploying ML systems into production environments
 </li>
 <li>
 Understanding of environmental, climate, or sustainability-related use cases
 </li>
 <li>
 Experience translating complex business or regulatory requirements into data-driven solutions
 
 
 </li>
 </ul>
 
 Join us for this and more...
 
 
 
 <ul>
 <li>
 The opportunity to work on meaningful technology with real-world environmental impact
 </li>
 <li>
 A highly technical and collaborative team environment
 </li>
 <li>
 Modern ML infrastructure and large-scale geospatial datasets
 </li>
 <li>
 Ownership and growth opportunities based on your experience and interests
 </li>
 <li>
 Flexible working environment in our Munich office near Sendlinger Tor
 </li>
 <li>
 Competitive compensation and benefits
 </li>
 </ul>
</div>

Machine Learning Engineer (m/f/x) - Geospatial AI

NVIDIA

<div>NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s a unique legacy of innovation that&rsquo;s fueled by great technology&mdash;and amazing people. Today, we&rsquo;re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brain of computers, robots, and self-driving cars that can understand the world. Doing what&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. As an NVIDIAN, you&rsquo;ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
At NVIDIA, we are leading the charge in AI governance and security, crafting solutions that make significant impacts on enterprise environments. As a Senior Solution Architect for AI Governance &amp; Security, you will be part of an exceptionally talented team that is at the forefront of AI innovation. Your role is pivotal in helping our customers navigate the complexities of deploying AI in regulated environments, making this opportunity truly outstanding.
What you'll be doing:<ul><li>
Drive technical engagements with enterprise customers and partners, ensuring NVIDIA's security and governance solutions are seamlessly coordinated within their AI deployments.</li><li>
Lead discovery sessions, build solution architectures, deliver impactful demonstrations, and craft detailed technical proposals.</li><li>
Build positive relationships with engineering leads, security architects, DevSecOps teams, and compliance officers by providing clear and accurate information about NVIDIA's stack.</li><li>
Translate NVIDIA&rsquo;s platform capabilities into practical deployment requirements, addressing data residency, access control, audit logging, and regulatory needs.</li><li>
Build and implement NVIDIA-backed deployment architectures tailored to customer requirements, combining components like OpenShell, NeMo Guardrails, NIM inference, and Confidential Computing.</li><li>
Build reusable solution materials including reference architectures, integration guides, and demo environments to aid the broader EMEA field team.</li><li>
Keep informed about EU AI Act regulations and align NVIDIA platform features with compliance inquiries from regulated enterprise purchasers.</li><li>
Represent NVIDIA at technical workshops, developer days, and ecosystem events, providing deep platform insights and gathering valuable feedback for continuous improvement.</li></ul>
What we need to see:<ul><li>
3+ years in a customer-facing technical role such as solutions architect, pre-sales engineer, technical account management, or technical consultant.</li><li>
B.Sc. or M.Sc. in Cybersecurity, Computer Science, or a related field, or an equivalent combination of relevant professional expertise and industry-recognized certifications.</li><li>
Hands-on experience with AI and ML platform architecture, including inference pipelines, agent frameworks, and orchestration layers in real deployments.</li><li>
Applied security awareness, with the ability to read and explain vulnerability dashboards and understand sandboxing, guardrails, access control, and audit logging.</li><li>
Experience in enterprise compliance and governance conversations, having navigated concerns raised by legal or security teams and provided constructive answers.</li><li>
Strong communication skills, capable of engaging with both framework engineers and high-level executives in a variety of technical discussions.</li><li>
Proficiency in Python and familiarity with modern deployment tooling, including containers, Kubernetes, and cloud-native patterns.</li></ul>
Ways to stand out from the crowd:<ul><li>
Experience with NVIDIA AI Enterprise, NIM, or NeMo Guardrails in a deployment context.</li><li>
Background in supporting procurement cycles in regulated European industries such as financial services, healthcare, or public sector.</li><li>
Familiarity with MCP, A2A, or agentic frameworks, enabling effective engagement with partner engineering teams.</li><li>
Practical knowledge of the EU AI Act, having assisted customers in managing its requirements in real AI implementations.</li><li>
Proven ability to build and deliver technical enablement content such as reference architectures, workshops, demo environments, and integration guides.</li></ul>
Widely considered to be one of the technology world&rsquo;s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div>

Solution Architect - AI Governance

Ignite Travel

<div>Are you ready to shape the future of industrial supply chains? We are developing the definitive digital ecosystem for the construction industry. Our sophisticated B2B SaaS platform empowers suppliers, freight forwarders, and building companies to fully automate and digitize their entire order, delivery note, and invoicing cycles.
By removing manual paperwork from the equation, we help businesses drastically cut operating costs, unlock complete supply chain transparency, and seamlessly track environmental impact. We are looking for a proactive, client-facing (Senior) Solutions Engineer for Integrations to join our team from the comfort of your home office.<h2 class="jobSectionHeader">
The Role</h2>
As a (Senior) Solutions Engineer for Integrations, you will act as the crucial technical link between our rapidly expanding cloud platform and our clients' complex enterprise IT environments. In this position, you will maintain end-to-end responsibility for client integration lifecycles, serving as an expert technical consultant for our customers and a core strategic ally to our internal Product and Engineering groups.<ul><li>
Our AI-First Workflow: We firmly believe in the power of artificial intelligence. You will operate within an advanced AI-driven environment, regularly deploying next-generation AI tools to supercharge your technical output, automate workflows, and scale your professional impact.</li></ul><h2 class="jobSectionHeader">
Tasks &amp; Responsibilities</h2><ul><li>
End-to-End Ownership: Spearhead customer integration lifecycles from early technical scoping and solution architecture through to development, testing, launch, and long-term user adoption.</li><li>
Technical Analysis: Deconstruct and evaluate client software environments, data pipelines, operational processes, and integration targets to craft optimized technical blueprints.</li><li>
Solution Architecture: Design resilient integration frameworks utilizing REST APIs, webhooks, EDI protocols, file-based data transfers, third-party software, and bespoke customer workflows.</li><li>
Prototyping &amp; Building: Personally build, configure, and prototype integration elements using Python, collaborating directly with core Engineering to safely ship them to production.</li><li>
AI-Driven Development: Integrate modern AI-assisted engineering environments (e.g., Cursor, Claude, GitHub Copilot) into your daily routine to speed up architectural analysis, generate clean code, and draft documentation faster.</li><li>
Success Monitoring: Evaluate system performance and connection stability post-deployment, gather continuous client feedback, and champion ongoing product and workflow enhancements.</li></ul><h2 class="jobSectionHeader">
Your Profile</h2>
We want an analytical, collaborative, and digitally savvy technical professional who works excellently independently and enjoys solving complex architecture puzzles in a fast-paced environment.<h3 class="jobSectionHeader">
Minimum Requirements</h3><ul><li>
Core Experience: 3+ years of proven success in a customer-facing technical position (e.g., Solutions Engineer, Integration Engineer, Forward Deployed Engineer, or Sales Engineer), ideally within a fast-moving startup or scale-up.</li><li>
Language Requirements: Complete professional fluency in both German (C1+) and English (C1+) is mandatory for internal collaboration and client consulting.</li><li>
Integration Protocols: Hands-on mastery of APIs, webhooks, modern system communication architectural patterns, and system-to-system data exchange.</li><li>
Data &amp; Enterprise Systems: Comprehensive knowledge of structural EDI and XML-based data standards (such as EDIFACT, ZUGFeRD, ebInterface). Foundational experience with major enterprise ecosystems like SAP, DATEV, Microsoft Dynamics, or Sage.</li><li>
Coding Skills: Confident ability to read, interpret, and write Python code for prototyping, testing, and deployment configurations.</li><li>
AI Savvy: A deep natural affinity for AI agents and developer toolsets, backed by a track record of using them to maximize personal output.</li></ul><h3 class="jobSectionHeader">
Nice-to-Haves</h3><ul><li>
Prior exposure to the construction, logistics, or transport sectors.</li></ul><h2 class="jobSectionHeader">
Compensation &amp; Financial Framework</h2><ul><li>
Base Salary: Up to &euro;80,000 gross p.a. (depending on experience and qualifications).</li><li>
Employment Type: Full-Time, Permanent.</li><li>
Growth Potential: Seize the career-defining opportunity to shape a mature, fast-scaling B2B SaaS platform that is actively revitalizing a legacy trillion-dollar global sector.</li></ul><h2 class="jobSectionHeader">
What We Offer &amp; Corporate Culture</h2><ul><li>
Impact &amp; Autonomy: Enjoy immense creative freedom and full, end-to-end ownership of client integration strategies that directly drive our market reach.</li><li>
Home Office Setup: Complete flexibility to work 100% remotely from home, supported by regular virtual team events and offsites.</li><li>
Flat Hierarchies: Work in direct partnership with our founders and executive leadership team, benefiting from swift decision-making paths and zero red tape.</li><li>
Modern AI Stack: Benefit from an authentic AI-First philosophy. Premium tools like GitHub Copilot, Claude, and Cursor are integrated directly into your workstation setup.</li><li>
Perks &amp; Benefits: Access to an EGYM Wellpass digital membership, a comprehensive corporate benefits program, and an official company travel card.</li></ul><h2 class="jobSectionHeader">
Ready to Join the Team?</h2>
If you are eager to combine your engineering expertise with the ultimate flexibility of working from home, we want to see your application.
Select Apply Today and submit your resume, a link to your LinkedIn/GitHub profile, and your earliest potential starting date!</div>

German Speaking Senior Solutions Engineer

Explore 188+ Build and deployment engineer in Munich this July. Find roles across top companies and apply now to boost your career.