Senior ML Engineer, Perception

Clera Labs, Inc.; San Francisco (CA); Presencial; USD 190.000 - 222.000; Jornada completa

Descripción de la vacante

Clera Labs, Inc. in San Francisco, CA, seeks a Lead Perception Engineer to own the perception domain of a defense-tech autonomous systems program. You will design detection, tracking, and sensor fusion across embedded platforms.

You will develop production CV models and on-device deployment pipelines, optimize real-time performance, and mentor engineers while delivering practical, field-ready capabilities.

Formación

• 5+ years shipping perception systems on real hardware.
• Experience deploying models on-device with TensorRT/ONNX.
• Real-time computer vision and tracking from live sensor data.
• Production ML pipelines from training to deployment.
• Defense/autonomy/robotics/aerospace experience is a plus.
• Degree in CS/EE/Robotics or equivalent practical experience.

Responsabilidades

• Design perception architecture for detection, tracking, classification, and sensor fusion.
• Develop CV models and training pipelines, then deploy them on-device.
• Fuse EO/IR and other sensor data across the perception stack.
• Optimize real-time performance for embedded hardware and latency budgets.
• Partner with robotics, controls, and hardware teams for system design decisions.
• Mentor perception engineers while contributing hands-on technical work.

Conocimientos

Python

C++

ML models

On-device deployment

Sensor fusion

Real-time CV

Mentoring

Educación

Bachelor's or higher in CS/EE/Robotics

Herramientas

TensorRT

ONNX

Descripción del empleo

About the Role

Lead perception engineering for a defense technology team developing autonomous systems to detect and track aerial threats. You will own the perception domain and work closely with robotics, controls, and hardware engineers to deliver reliable capabilities on real-world equipment.

What You'll Do

• Design perception architecture spanning detection, tracking, classification, and sensor fusion.

• Develop computer vision models and training pipelines, then deploy them on-device.

• Fuse EO/IR and other relevant sensor data across the perception stack.

• Optimize real-time performance for embedded hardware and tight latency budgets.

• Partner with robotics, controls, and hardware teams to make practical system design decisions.

• Mentor perception engineers while contributing hands-on technical work.

What We're Looking For

• At least 5 years of experience building and shipping perception systems on real hardware.

• Strong Python and C++ skills, with experience developing production machine learning models and end-to-end training-to-deployment pipelines.

• Hands-on experience building real-time computer vision detection and tracking from live sensor data, and personal ownership of perception models or tracking systems.

• Experience deploying models on-device with TensorRT, ONNX, or equivalent, and optimizing for embedded compute and latency constraints.

• Relevant experience in defense, autonomy, robotics, or aerospace, with a track record of systems that perform in real-world conditions.

• Experience with aerial target tracking, moving-camera compensation, EO/IR or other sensor fusion, thermal imagery, or small and long-range targets is valuable.

• Radar or RF perception, classified programs, sensor fusion in challenging environments, and mentoring experience are also useful.

• A degree in computer science, electrical engineering, robotics, or a related field, or equivalent practical experience.

Compensation & Benefits

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

Location

On-site in San Francisco, California, United States.