Senior ML Engineer, Perception — Real-World Embedded Vision

Doist; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Competitive salary + equity

United Health Care medical, dental, &

Flexible 18 days PTO + 5 sick days

Travel to field test events and range"

Job summary

Aurelius Systems in San Francisco is seeking a Senior ML Engineer to lead the perception stack for Archimedes—detection, tracking, classification, and sensor fusion across the targeting chain. You will own perception as a domain and partner with the CTO and robotics software team.

You will ship perception on real hardware, optimize for latency, and mentor growing engineers. This is a hands-on role in a fast-paced defense startup with field testing weekly.

Qualifications

• 5+ years building perception systems on real hardware.
• Strong Python and C++ with deep ML engineering experience.
• Real-time computer vision, tracking, and detection under real-world conditions.
• On-device deployment using TensorRT, ONNX, or equivalents.
• Experience optimizing perception for embedded compute and latency budgets.

Responsibilities

• Perception architecture across detection, tracking, classification, and sensor fusion.
• ML model development, training pipelines, and on-device deployment.
• Multi-sensor fusion across EO/IR and other sensors.
• Real-time performance optimization on embedded targets.
• Mentorship of perception engineers as the team grows.
• Direct partnership with controls, robotics SWE, and hardware on what's achievable.

Skills

Python

C++

Computer vision

Real-time systems

ML engineering

Education

BS/MS/PhD in CS/EE/Robotics

Tools

TensorRT

ONNX

CUDA

Job description

Aurelius Systems in San Francisco is seeking a Senior ML Engineer to lead the perception stack for Archimedes—detection, tracking, classification, and sensor fusion across the targeting chain. You will own perception as a domain and partner with the CTO and robotics software team.

You will ship perception on real hardware, optimize for latency, and mentor growing engineers. This is a hands-on role in a fast-paced defense startup with field testing weekly.