Staff Computer Vision Engineer
Green Key Resources
Campbell, United States of America
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Campbell, United States of America
Tech stack
Systems Engineering
Computer Vision
C++
Python
Machine Learning
TensorFlow
Sensor Fusion
PyTorch
Information Technology
Software Coding
Lidar
Job description
We're seeking an experienced Computer Vision Engineer to lead the development of real-time vision algorithms for our autonomous weapon system. This role is critical to enabling fast, accurate detection, tracking, and classification in dynamic environments., * Drive the design and optimization of real-time computer vision algorithms for autonomous target identification and engagement.
- Develop machine learning models tailored for resource-constrained embedded systems, ensuring high accuracy and reliability.
- Collaborate with electrical and systems engineers to tightly integrate vision solutions into turret hardware.
- Design and execute rigorous testing protocols to validate performance across varied operational scenarios and environmental conditions.
- Mentor junior team members and contribute to building a strong internal knowledge base in vision and ML technologies.
- Support the transition from prototype to military-grade deployment and assist in adapting systems to different weapon platforms and operational ranges.
Requirements
- A deep, career-long passion for machine learning, computer vision, and robotics.
- Master's degree or higher in Computer Science, Electrical Engineering, or a related field, with a specialization in ML or computer vision.
- 7+ years of hands-on experience developing and deploying computer vision systems, ideally in robotics or real-time, safety-critical environments.
- Strong coding skills in Python and C++, with proficiency in ML frameworks like TensorFlow, PyTorch, or similar.
- Experience working with embedded systems and deploying vision algorithms on constrained hardware.
- Familiarity with multi-sensor fusion (e.g., cameras, LiDAR, radar) for autonomous systems.
- A collaborative mindset and proven experience mentoring engineers and driving complex technical solutions as part of a team.