Staff Computer Vision Engineer
Green Key Resources
- San Jose, Arizona, United States
- San Jose, Arizona, United States
Über
About the Role We’re seeking a Staff Computer Vision Engineer to lead the development of real-time vision algorithms for our autonomous systems. This role is critical to enabling fast, accurate detection, tracking, and classification in dynamic environments.
Key Responsibilities
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.
What We’re Looking For
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.
5+ 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.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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