Perception Engineer – Autonomous Heavy Machinery

Base Salary Range: $200,000-$300,000 + Equity

Location: Onsite in San Fransisco

Travel: Frequent (~50% at customer job sites)

About the Opportunity

Our client is developing autonomous and tele-operated systems for large-scale industrial vehicles, bringing modern robotics and AI into one of the most complex real-world environments imaginable. Their technology is designed to operate reliably in unstructured, high-variability outdoor settings where safety, robustness, and real-time performance matter.

This role is ideal for someone who is deeply motivated by physical systems, enjoys working close to hardware, and wants to see their perception stack directly influence the motion of multi-ton machines in production environments.

What You’ll Work On

Designing and implementing 3D perception pipelines for tele-operated and semi-autonomous industrial vehicles
Developing strong classical perception baselines and incrementally advancing them with deep learning–based models where appropriate
Building real-time object detection, classification, and tracking systems to improve operator awareness and system safety
Performing multi-sensor calibration and fusion across modalities, maintaining spatial and temporal alignment in challenging field conditions
Optimizing perception algorithms for real-time execution on embedded compute, balancing latency, stability, and robustness
Debugging and validating systems directly on machines operating in real-world job sites

What Our Client Is Looking For

2–10 years of experience working on perception systems for robotics or autonomous platforms
Strong fundamentals in computer vision, 3D perception, and sensor fusion
Experience building systems that operate outside of clean lab environments
Comfort working close to hardware and debugging in the field
A builder mindset — someone who has created systems from the ground up (professionally or personally)
Willingness to travel frequently and spend significant time on-site with customers
Ability to work onsite or relocate if needed

Bonus Experience

Perception experience on heavy machinery, autonomous vehicles, or mobile robots
Familiarity with LiDAR, radar, and multi-camera systems
Experience deploying perception models to embedded or edge compute platforms
Prior exposure to teleoperation or human-in-the-loop autonomy systems

Why This Role Is Different

Your work directly controls real, large-scale machines, not simulations or demos
Heavy exposure to field deployments and customer environments
Opportunity to build foundational perception systems at an early stage
Tight feedback loop between software, hardware, and real-world behavior

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