ABOUT US

STARK is a defense technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high performance unmanned vehicles that are software-defined, mass-scalable, and cost effective – giving NATO and its allies a decisive edge in the most contested environments.
We’re focused on delivering deployable, high-performance systems—not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe—today.

QUALIFICATIONS

• Strong educational background with a degree in AI development, computer science, or a related field.
• Proven experience in AI software development, with a focus on computer vision and autonomous systems.
• Expertise in full stack development, including proficiency in modern programming languages and frameworks.
• Experience deploying AI solutions within multi-domain environments is highly preferred.
• Excellent problem-solving skills and the ability to work effectively in collaborative team settings.
• Strong communication skills to articulate complex concepts and solutions clearly.
• Due to the sensitive nature of the work, the ability to obtain UK security clearance

AI Development:

• Design, develop, and implement computer vision-aided sensor and effector systems, focusing on enhancing system autonomy and intelligence.
• Collaborate in the development of autonomous behaviours for integration into multi-domain systems, ensuring seamless operation across various platforms.

Software Design & Implementation:

• Lead the architecture and development of scalable, robust AI software solutions, optimizing for performance and reliability.
• Work closely with cross-functional teams to ensure alignment and integration with other system components and platforms.

Research & Innovation:

• Conduct research to stay abreast of the latest advancements in AI technologies and methodologies, applying this knowledge to foster innovation within projects.
• Experiment with new technologies and techniques to continuously improve AI capabilities and system performance.

Testing & Quality Assurance:

• Develop and execute comprehensive test plans to validate the performance, accuracy, and reliability of AI systems.
• Implement quality assurance practices to ensure software solutions meet the highest standards of quality and security.

Field Work & Collaboration:

• Participate in deployable field work to test and optimise technology in real-world conditions.
• Collaborate with various functions, including mission operations, mission delivery, mechanical engineering, and production, to ensure cohesive project development and execution.