Senior ML Engineer, Perception

Wwshemi; San Francisco (CA); Presencial; USD 190.000 - 222.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

C++

Computer vision

Real-time tracking

ML deployment on-device

ML training pipelines

Robotics perception

Aerospace/defense domain

Educación

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

Herramientas

TensorRT

ONNX

Descripción del empleo

This listing's locations On-site - San Francisco, California, United States

Employment Full-time

Workplace On site

Compensation $190000–222000 per year

Lead perception engineering for a defense technology team developing autonomous systems. You will own the perception stack, from detection and tracking to sensor fusion, and help ensure it performs reliably on real hardware in demanding field conditions.

What You'll Do

• Set the perception architecture for detection, tracking, classification, and sensor fusion.
• Develop ML models and training pipelines, then deploy models to embedded devices.
• Fuse EO/IR and other sensor data relevant to the system.
• Optimize real-time perception performance for embedded compute and latency constraints.
• Work closely with robotics, controls, and hardware engineers to deliver practical system capabilities.
• Mentor perception engineers while contributing directly to implementation.

What We're Looking For

• At least 5 years building and shipping perception systems on physical hardware.
• Strong Python and production C++ skills, with experience in computer vision, detection, and real-time tracking on live sensor data.
• Experience deploying ML models on-device with TensorRT, ONNX, or equivalent, and optimizing for embedded compute and tight latency budgets.
• Experience building ML training pipelines through deployment and shipping systems tested against real-world targets.
• Background in perception, robotics, autonomy, aerospace, or defense systems; research-only or offline-only experience is not a fit.
• Helpful experience includes aerial target tracking, moving-camera compensation, thermal imagery, EO/IR or other sensor fusion, radar or RF perception, and small or long-range target detection.
• BS, MS, PhD, or equivalent experience in computer science, electrical engineering, robotics, or a related field.

Base salary: $190,000 to $222,000 annually. Visa sponsorship is not available.

Location

On-site in San Francisco, California. The role includes field testing.