The Exploration Company
.Future Projects System Senior Engineer(m/w/x)
Full-timeOn-siteSenior
München
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THThe Exploration Company
.AI & Innovation Senior Engineer(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Designing and building AI-native orbital vehicle systems for space exploration. Extensive software engineering and AI prototyping experience required. Relocation assistance and visa sponsorship offered.
Requirements
- Extensive professional experience in software engineering, AI/data engineering, automation, or digital product/innovation roles
- Multiple years building prototypes and production-ready solutions in complex enterprise or engineering environments
- Identifying and delivering AI-enabled solutions with measurable business or engineering value
- Rapidly prototyping and iterating solutions, integrating into production environments
- Designing systems integrating with ERP platforms, business systems, and engineering toolchains
- Proficiency in programming
- Familiarity with modern AI/ML frameworks, tooling, and deployment practices
- Experience with data pipelines, model lifecycle management, and deployment/monitoring
- Familiarity with cloud environments (Azure, AWS, GCP)
- Familiarity with engineering operations (DevOps, containerization, micro-services)
- Strong architectural mindset to design scalable, reliable, maintainable systems
- Designing systems for long-term operational use beyond isolated demos
- Builder mentality: comfortable operating in ambiguous environments
- Builder mentality: exploring emerging technologies
- Builder mentality: rapidly building prototypes
- Builder mentality: turning ideas into real operational capabilities
- Collaborative mindset
- Strong communication skills
- Strong stakeholder-management skills
- Ability to align business and engineering needs with technical implementation
- Experience in engineering, manufacturing, industrial, aerospace, defence, or deep-tech environments
- Experience integrating AI and automation capabilities into ERP or operational workflows
- Experience with industrial foundation models
- Exposure to building and scaling innovation frameworks or centres of excellence
Tasks
- Identify high-leverage automation and AI opportunities
- Prioritize AI-enabled workflows and operational systems
- Design and build rapid prototypes
- Test and iterate AI-native systems
- Architect production-ready solutions
- Integrate solutions into existing environments
- Define scalable system architectures
- Develop integration patterns and data flows
- Create monitoring and security strategies
- Ensure maintainability of solutions
- Deploy and operationalize prototypes
- Collaborate with engineering and DevOps teams
- Continuously improve solutions
- Work with business stakeholders and IT
- Define success metrics
- Validate business impact
- Evaluate emerging technologies
- Assess vendor solutions and frameworks
- Implement responsible AI systems
- Consider governance and security
- Support AI tooling adoption
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI/ML frameworks
- Azure
- AWS
- GCP
- DevOps
- containerization
- micro-services
Benefits
Other Benefits
- Relocation assistance
- Visa sponsorship
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of The Exploration Company and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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THThe Exploration Company
.AI & Innovation Senior Engineer(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Designing and building AI-native orbital vehicle systems for space exploration. Extensive software engineering and AI prototyping experience required. Relocation assistance and visa sponsorship offered.
Requirements
- Extensive professional experience in software engineering, AI/data engineering, automation, or digital product/innovation roles
- Multiple years building prototypes and production-ready solutions in complex enterprise or engineering environments
- Identifying and delivering AI-enabled solutions with measurable business or engineering value
- Rapidly prototyping and iterating solutions, integrating into production environments
- Designing systems integrating with ERP platforms, business systems, and engineering toolchains
- Proficiency in programming
- Familiarity with modern AI/ML frameworks, tooling, and deployment practices
- Experience with data pipelines, model lifecycle management, and deployment/monitoring
- Familiarity with cloud environments (Azure, AWS, GCP)
- Familiarity with engineering operations (DevOps, containerization, micro-services)
- Strong architectural mindset to design scalable, reliable, maintainable systems
- Designing systems for long-term operational use beyond isolated demos
- Builder mentality: comfortable operating in ambiguous environments
- Builder mentality: exploring emerging technologies
- Builder mentality: rapidly building prototypes
- Builder mentality: turning ideas into real operational capabilities
- Collaborative mindset
- Strong communication skills
- Strong stakeholder-management skills
- Ability to align business and engineering needs with technical implementation
- Experience in engineering, manufacturing, industrial, aerospace, defence, or deep-tech environments
- Experience integrating AI and automation capabilities into ERP or operational workflows
- Experience with industrial foundation models
- Exposure to building and scaling innovation frameworks or centres of excellence
Tasks
- Identify high-leverage automation and AI opportunities
- Prioritize AI-enabled workflows and operational systems
- Design and build rapid prototypes
- Test and iterate AI-native systems
- Architect production-ready solutions
- Integrate solutions into existing environments
- Define scalable system architectures
- Develop integration patterns and data flows
- Create monitoring and security strategies
- Ensure maintainability of solutions
- Deploy and operationalize prototypes
- Collaborate with engineering and DevOps teams
- Continuously improve solutions
- Work with business stakeholders and IT
- Define success metrics
- Validate business impact
- Evaluate emerging technologies
- Assess vendor solutions and frameworks
- Implement responsible AI systems
- Consider governance and security
- Support AI tooling adoption
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI/ML frameworks
- Azure
- AWS
- GCP
- DevOps
- containerization
- micro-services
Benefits
Other Benefits
- Relocation assistance
- Visa sponsorship
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of The Exploration Company and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
The Exploration Company
Industry
Aerospace
Description
The company is developing, producing, and operating Nyx, a modular and reusable space orbital vehicle.
Not a perfect match?
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