Computer Vision Engineer

Green Key Resources; San Jose (CA); On-site; USD 230,000 - 300,000; Full time

Job summary

Green Key Resources is seeking a Chief Engineer for Computer Vision and Machine Learning to own the technical vision of our CV/ML platform powering a real-time perception stack.

The role requires guiding architecture from research through field testing and deployment, with hands-on leadership over senior engineers.

Qualifications

• 15+ years building ML-based computer vision, image processing, or signal processing systems.
• Ownership of complex perception or autonomy architectures from concept to production.
• BS+ in CS, EE, CE, or related field.

Responsibilities

• Define and own the architecture, technical strategy, and roadmap for the CV/ML organization.
• Lead a small team of senior and staff engineers and partner with VP of AI and engineering leadership.
• Make hard calls across sensing, compute, model architecture, and real-time constraints; drive from research to production deployment.
• Set the technical bar: architecture reviews, design standards, and mentorship of senior engineers and managers.

Skills

C++

Python

PyTorch

TensorFlow

System architecture

Leadership

Education

BS+ in CS/EE/CE

Tools

NVIDIA Jetson

Job description

Chief Engineer, Computer Vision / Machine Learning

Location: San Jose | On-Site

A venture-backed defense technology company building autonomous systems is hiring a Chief Engineer to own the technical vision for the CV/ML platform powering its real-time perception stack — detection, tracking, classification, and decision-making in demanding operational environments.

• Define and own the architecture, technical strategy, and roadmap for the full CV/ML organization, partnering directly with the VP of AI and engineering leadership while leading a small team of senior and staff engineers.
• Make the hard calls across the stack — sensing, compute, model architecture, real-time constraints — and drive systems from research and prototyping through field testing, validation, and production deployment.
• Set the technical bar for the organization: architecture reviews, design standards, and mentorship of senior engineers and engineering managers across teams.
• Hands‑on senior technical leadership — the majority of time spent on architecture, system‑level tradeoffs, and the most ambiguous engineering problems, not process.
• Requirements: 15+ years building ML-based computer vision, image processing, or signal processing systems; demonstrated ownership of complex perception or autonomy architectures from concept to production; strong C++ and Python with PyTorch or TensorFlow; BS+ in CS, EE, CE, or related. Preferred: prior Chief/Principal/Distinguished Engineer scope, PhD, detection and tracking in cluttered or low-contrast environments, edge deployment (NVIDIA Jetson), multi-sensor fusion including IR, and defense/aerospace/AV background.