Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.
Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.
About the RoleAs a Computer Vision Engineer in the Computer Vision Tracker team, you will join us at a very early stage, giving you a unique opportunity to heavily influence the technical direction of the team. Operating out of Lausanne, Paris, or Zurich, you will focus on creating a global 3D Object Tracking pipeline, at the intersection between the Computer Vision, Sensor Fusion and GNC teams.
ResponsibilitiesComputer Vision Algorithm Development: Research and implement state-of-the-art Computer Vision approaches to Object Tracking in multiple modalities and scenarios, combining classical and geometrical methods with AI detection models developed in-house.
Multi-Sensor Fusion: Fuse data from multiple sensors (Cameras, IMU, Radar, etc.) to provide high-precision target estimation and robust tracking through challenging conditions.
Edge Optimization for Low-Compute Deployment: Optimize and embed tracking algorithms on heterogeneous platforms with limited compute resources, ensuring real-time performance alongside other software bricks running on the drone.
Cross-Team Collaboration: Work closely with the GNC, Sensor Fusion, and AI teams to integrate your tracking pipelines into a seamless, production-ready environment.
Research & Innovation: Stay at the absolute forefront of scientific trends in computer vision, tracking algorithms, and sensor fusion to introduce cutting-edge methodologies to the product.
Mentorship: Depending on seniority, support the team by managing or mentoring junior engineers.
Educational Background: A strong academic record with a degree in a STEM field (e.g., Computer Science, Robotics, Engineering, Mathematics).
Embedded Algorithmic Expertise: Proven track record in the research, development, and productization of Computer Vision & Sensor-Fusion algorithms in hardware-constrained environments.
Technical Competence: Strong proficiency in C++ and Python for real-time systems. Experience with optimizing code for edge deployment.
Highly structured, analytical, task-aligned, and research-oriented.
Excellent communication and influence skills, with the ability to effectively translate and present complex algorithmic trade-offs to downstream users and senior stakeholders.
Thrives under pressure in a fast-paced environment with a “no-task-is-too-small” mentality toward building foundational team infrastructure.
Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.
We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.
Skills Required
- Degree in a STEM field such as Computer Science, Robotics, Engineering, or Mathematics
- Proven experience researching, developing, and productizing computer vision and sensor-fusion algorithms in hardware-constrained environments
- Strong proficiency in C++ and Python for real-time systems
- Experience optimizing code for edge deployment
- Structured, analytical, task-aligned, and research-oriented approach
- Excellent communication and influence skills for presenting complex algorithmic trade-offs
- Ability to mentor junior engineers
- Ability to work effectively under pressure in a fast-paced environment
Harmattan AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harmattan AI and has not been reviewed or approved by Harmattan AI.
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Fair & Transparent Compensation — Pay ranges are publicly shown for multiple U.S. roles (e.g., $140k–$200k base) and appear broadly in line with late‑stage startup/defense‑tech expectations based on the postings cited.
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Equity Value & Accessibility — Equity is repeatedly referenced in several job postings as part of total compensation, which can increase upside potential at a recently funded, high‑valuation company.
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Strong & Reliable Incentives — Sign‑on bonuses are explicitly mentioned in a hiring post for candidates who can start quickly, indicating the use of cash incentives in at least some hiring situations.
Harmattan AI Insights
What We Do
Harmattan AI is rising as a next-generation defense prime, building the future of autonomous warfare. We leverage AI-driven autonomy, real-time intelligence, and conflict-ready production to deliver attritable systems and autonomous mission management software. Designed for the real-world needs of warfighters, our solutions enable faster deployment, sharper decision-making, and battlefield dominance.
