Original listing text, shown exactly as published by the company.
Key Responsibilities
- Research, design, and implement vision-based localization and mapping algorithms, including VIO and VSLAM.
- Develop real-time computer vision pipelines for tracking, depth estimation, stereo/mono reconstruction, and dense/semi-dense mapping.
- Architect and optimize vision-centric sensor fusion systems combining cameras, IMUs, LiDAR, radar, and other sensors for robustness in diverse environments.
- Build perception algorithms enabling vision-based navigation, including feature tracking, obstacle detection, and perception-driven flight behaviors.
- Develop computer vision and machine learning models for scene understanding, object detection, and dynamic obstacle identification.
- Implement and optimize CV pipelines on embedded GPU or accelerator platforms, focusing on high performance and low latency.
- Validate perception and autonomy performance through simulation, hardware-in-the-loop, and real-world flight testing.
- Collaborate with cross-functional teams to ensure seamless integration with autonomy, controls, mechanical, and firmware systems.
- Contribute to technical strategy, establish best practices, and help guide the evolution of the perception stack as the system scales and matures.
Qualifications
- Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Electrical Engineering, or a related field with a minimum of 3+ years of industry experience. Note - we are considering candidates for mid-career, senior, and principal positions.
- Strong programming skills in C++ and Python, with experience building real-time systems.
- Experience developing computer vision or perception systems for robotics or UAVs, with a foundation in VSLAM, VIO, and/or related topics. Proficiency with standard frameworks and modern computer vision techniques.
- Familiarity with implementing CV models or pipelines on embedded systems, GPUs, or hardware accelerators.
- Hands-on experience with robotics or UAV testing, including data collection, system debugging, and field validation.
Preferred Skills
- Deep knowledge of sensor fusion and tightly coupled vision–IMU systems.
- Experience with machine learning–based perception, including training and optimizing deep models for edge hardware.
- Background in vision-based navigation, visual servoing, or perception-driven autonomy.
- Strong understanding of real-time systems, GPU optimization, or high-performance computer vision.
- Familiarity with UAV safety, reliability, and regulatory considerations for autonomous systems.
- Ability to help shape architecture, mentor engineers, and drive cross-functional technical decisions as needed.
- Experience with ROS, PX4, MAVSDK, and/or similar robotics middleware.
BRINC Culture Values
- Try the hard stuff
- Be innovative - Invent the future
- Move fast
- Listen to end-users
- Strive for excellence
- Don’t build a dystopia
- Be frugal
- Save lives through technology
If you’re interested in this role and in joining BRINC, we hope you’ll apply. We’d love to review your application and get to know more about you!
BRINC is proud to be an equal opportunity employer that is resolute in cultivating an environment that promotes safety, diversity, inclusion and equity. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering every employee so they can do their best work. If you have a disability or special need, please let our recruiting team know - we strive to provide appropriate accommodation and assistance.
Benefits and perks listed below may vary based on the nature of your employment with BRINC and/or the country within which you work
- Comprehensive medical, dental and vision plans for our employees and their families
- 401K plan
- Maternity and paternity leave
- Flexible Time Off (Exempt) / Paid time off (Non-Exempt)
- Flexible work environment
- Orca pass (for those in Puget Sound)…
