Lead Perception Engineer - Autonomous Systems (SF On-site)

Wwshemi

San Francisco (CA)

On-site

USD 190,000 - 222,000

Full time

2 days ago
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Job summary

Wwshemi in San Francisco, CA, seeks a leader to own the perception stack for autonomous systems. You will set architecture, develop ML models, and deploy on embedded hardware, ensuring robust sensor fusion and real-time performance in demanding field conditions.

You’ll mentor engineers and work with robotics, controls, and hardware teams, bringing advanced perception capabilities from detection to fusion to production-grade systems for defense applications.

Qualifications

  • 5+ years building perception systems on physical hardware.
  • Strong Python and C++ with CV, detection and real-time tracking.
  • Experience deploying ML models on-device; TensorRT/ONNX preferred.
  • Background in perception, robotics, autonomy, aerospace or defense.
  • Advanced degree or equivalent experience in CS/EE/Robotics.

Responsibilities

  • Set the perception architecture for detection, tracking, and fusion.
  • Develop ML models and pipelines; deploy to embedded devices.
  • Fuse EO/IR and other sensor data for real-time use.
  • Optimize perception performance for embedded compute and latency.
  • Collaborate with robotics, controls, and hardware engineers.
  • Mentor engineers and contribute to implementation.

Skills

Python
C++
Computer vision
Real-time tracking
ML deployment on-device
ML training pipelines
Robotics perception
Aerospace/defense domain

Education

BS/MS/PhD in CS/EE/Robotics or related field

Tools

TensorRT
ONNX

Job description

Wwshemi in San Francisco, CA, seeks a leader to own the perception stack for autonomous systems. You will set architecture, develop ML models, and deploy on embedded hardware, ensuring robust sensor fusion and real-time performance in demanding field conditions.

You’ll mentor engineers and work with robotics, controls, and hardware teams, bringing advanced perception capabilities from detection to fusion to production-grade systems for defense applications.

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