Staff Computer Vision Engineer

TCP is partnered with a high-growth vc-backed company developing advanced autonomous robotic systems for the U.S. and allied defense markets.

Backed by significant institutional funding and operating at meaningful scale, this is an opportunity to join a fast-moving engineering organization building technology with direct, real-world impact on national security.

About the Role

We’re looking for a Staff Computer Vision & Machine Learning Engineer to help lead the development and optimization of CV/ML systems at the core of an autonomous robotic platform.

The role is heavily focused on real-time object detection, tracking, and classification, with engineers working across the boundary of software and hardware to deploy highly reliable perception systems in demanding real-world environments.

This is a hands-on Staff-level engineering role for someone who has spent significant time building and deploying production computer vision systems and enjoys solving difficult problems across ML, robotics, embedded systems, sensors, and hardware integration.

What You’ll Do

• Develop and optimize computer vision algorithms for real-time detection, tracking, and classification
• Design and deploy ML models capable of operating in resource-constrained and latency-sensitive environments
• Build and optimize perception systems for real-world autonomous robotic applications
• Partner closely with electrical, embedded, and hardware engineers to integrate vision systems into physical platforms

What We’re Looking For

• 10+ years of experience working with machine-learning-based computer vision, ideally within robotics, autonomous systems, or similarly complex physical systems
• Strong programming skills in C++ and Python
• Familiarity with sensors such as cameras, LiDAR, RADAR, or related perception hardware
• Deep experience with object detection, tracking, classification, and real-time perception
• Strong track record developing and deploying production computer vision systems
• BS or MS in Computer Science, Electrical Engineering, Robotics, or a related technical field

What’s Offered

• Competitive Staff-level compensation (Multiple positions across various seniority levels available)
• Meaningful equity package
• Medical, dental, and vision insurance
• Paid time off
• Opportunity to work on technically complex autonomous systems being deployed in real-world environments
• High-impact role within a rapidly scaling engineering organization

Location: Austin, TX or Mountain View, CA

Work Model: On-site

Employment: Full-time