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About the Role
Stark is a defence technology company focused on AI-driven autonomous defence platforms and advanced software for NATO Allies. The role involves defining and owning the company's AI strategy across product, internal tooling, and the technical organization, pushing the boundaries of AI in defence.
Responsibilities
- Define and own STARK's AI strategy across product and internal domains, setting a direction that Technical Leads can execute against.
- Lead AI stack decisions, model selection, frameworks, MLOps infrastructure, evaluation, and tooling, in partnership with the CTO and Technical Leads, with final technical accountability.
- Act as connective tissue across teams: identify and resolve cross-team AI dependencies, shared infrastructure gaps, and redundant workstreams.
- Drive internal AI adoption across STARK, developer productivity tooling, agent and automation infrastructure, and responsible-use frameworks.
- Provide technical oversight and challenge across all AI workstreams, focusing on methodology, adversarial robustness, distribution shift, and performance.
- Monitor the academic and commercial AI landscape and translate relevant advances into strategic inputs for leadership.
- Keep AI strategy grounded in operational reality by partnering with programme and product leadership.
- Raise the AI bar at STARK: contribute to senior technical hiring, define the AI engineering standard, and build STARK's standing in the European defence-AI community.
- Represent STARK externally, speak at defence, robotics, and AI venues, and publish or present where it serves the mission.
Requirements
- Degree in machine learning, computer vision, robotics, or a closely related field, or demonstrably equivalent depth through industry research and an open publication or open-source record.
- Proven experience setting AI technical strategy at a senior level, across multiple domains simultaneously.
- Deep technical fluency in at least one of: perception and sensor fusion, autonomy and motion planning, SLAM/localisation, or multi-agent coordination (C2), with enough breadth to engage credibly across all of them.
- Strong track record of influencing technical decisions without direct line authority.
- Experience in defence, aerospace, or another safety-critical domain where AI system failure carries real-world consequence; direct UAS or ground-robotics experience strongly preferred.
- Fluent English.
- Working German is a practical advantage.
- Eligibility for the required security clearance.
Skills
- AI strategy
- AI stack decisions
- MLOps infrastructure
- Perception and sensor fusion
- Autonomy and motion planning
- SLAM/localisation
- Multi-agent coordination (C2)
- Technical influence
- Defence/aerospace/safety-critical domain experience
- UAS or ground-robotics experience
- English fluency
- German language skills (practical advantage)
Location
- Berlin
- Munich
Work Type
- Full-time
Experience Level
- Senior level
- Staff- or principal-level AI role (nice-to-have)
Education Level
- Degree in machine learning, computer vision, robotics, or a closely related field
- Demonstrably equivalent depth through industry research and an open publication or open-source record
About the Company
- Stark forges the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision.
- Stark is a premier defence technology company equipping NATO Allies and their partners with next-generation autonomous defence platforms and advanced AI-driven software.
- Stark believes true security stems from relentless innovation, combining elite engineering talent with agile technology and an AI-native operational culture.
- Stark turns complex defence challenges into field-tested, multi-domain solutions.
Equal Opportunity
- We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace.
- All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, or any other characteristic protected by applicable law.