Computer Vision Engineer

Acceler8 Talent; San Jose (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

A stealth robotics startup is hiring a Perception Engineer to own difficult real-world autonomy problems and shape core perception systems for autonomous factories.

You’ll build and deploy perception pipelines in C++ and Python, tackle edge cases, and collaborate across learning and hardware to ensure reliable operation on physical robots.

Qualifications

• Own production or field-tested perception systems in self-driving or autonomous environments.
• Experience across autonomous vehicles, drones, construction, forestry, maritime autonomy or field robotics.
• Strong depth in 3D and visual perception and diagnosing real deployment failures.

Responsibilities

• Build and deploy robust perception systems for autonomous robots.
• Solve challenging edge cases involving sensor variability and real hardware constraints.
• Debug perception failures and improve reliability across the full pipeline.
• Work across learning and hardware to make perception perform reliably in the real world.
• Implement core systems in C++ and Python, with scope to develop new approaches.

Skills

C++

Python

Robotics perception

Autonomous systems

System debugging

Job description

I’m partnering with a stealth robotics startup building highly autonomous factories designed to turn raw materials into finished goods with significantly less manual labour.

They’re developing an integrated stack across perception, robot learning, simulation, rendering and GPU systems—and hiring a Perception Engineer to own difficult real-world autonomy problems.

You’ll join a small, hands-on team with the opportunity to shape core systems, build from first principles and see your work deployed on physical hardware.

What you’ll work on:

• Building and deploying robust perception systems for autonomous robots.
• Solving challenging edge cases involving sensor variability, difficult environments and real hardware constraints.
• Debugging perception failures and improving reliability across the full pipeline.
• Working across learning and hardware to make perception perform reliably in the real world.
• Implementing core systems in C++ and Python, with scope to develop new approaches.

Who could be a fit?

Engineers who have personally owned production or field-tested perception systems in self-driving or other challenging autonomous environments.

Particularly interested in people with experience across:

• Autonomous vehicles, including advanced development teams.
• Drones, construction, forestry, maritime autonomy or field robotics.
• 3D and visual perception, with strong implementation depth and experience diagnosing real deployment failures.

High ownership within a small robotics team