Process Engineer providing engineering support to optimize refinery operations and implement long - term strategies. Involves collaboration with multiple disciplines within the Puget Sound Refinery.
About the role
- Computer Vision Engineer developing computer vision algorithms for UAVs at BRINC. Enhancing visual perception and autonomy in public safety solutions.
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.
Requirements
- 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.
Benefits
- 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)
- Free parking (Seattle office)
- Free snacks, drinks and espresso (Seattle office)
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