
Senior Computer Vision Engineer
- Oslo
- Fast
- Fulltid
- Design, implement, and deploy computer vision algorithms that complement AI models on embedded hardware for real-time, in-flight decision-making.
- Lead the selection, calibration, and configuration of camera systems to ensure high-quality sensing in dynamic conditions.
- Work hands-on with HW-acceleration and performance tuning on edge compute platforms.
- Work as part of a software engineering team to integrate perception into autonomy loops, ship new features, and maintain strong testing and validation routines.
- Stay up to date with the latest in computer vision, AI, and sensing technologies, and bring those advancements into our platform.
- A strong background in computer vision, applied mathematics, and programming.
- Experience working with camera systems for real-world applications.
- Confidence in evaluating optical trade-offs, sensor configurations, and hardware constraints.
- Hands-on experience with calibration, sensor fusion, and real-time, high-performance vision processing.
- A Master’s degree or higher in physics, optics, cybernetics, robotics, or a related field.
- Experience with radar, LiDAR, or visual-inertial odometry systems.
- Proficiency in Python, C++, and GPU-accelerated computation.
- Work on problems that matter: Our technology helps unlock smarter, safer, and more adaptable UAV operations in defense and industry, solving real challenges with direct, tangible impact.
- Lead the shift in a hardware-dominated space: We're bringing modern AI, autonomy, and scalable software into a field that's long relied on rigid, pre-programmed systems, to change how UAVs are designed, deployed, and managed.
- Build from zero, shape the future: Join early and help define the core systems, tools, and culture of a company that’s still being built - where your ideas, code, and decisions will have a lasting influence.
- Work with purpose, supported by great benefits: You'll be part of a mission-driven team that values clarity, integrity, and collaboration, offering competitive pay, strong insurance and pension plans, and ongoing learning opportunities.
- Meet & Greet with someone from the team to learn more about us (60 min).
- Structured case interview to get to know you even better (90 min).
- Final interview and a chance to meet with the management team (45 min).
- Reference check followed by an offer if everything goes well.