Embedded Computer Vision Engineer — Real-Time Perception

Archer; San Jose (CA); On-site; USD 140,000 - 260,000; Full time

Job summary

Archer is seeking an embedded perception engineer in San Jose, CA to develop the onboard perception stack and fuse sensor data for real-time, embedded deployment on aerospace-grade compute. You will design and implement deep-learning and classical CV algorithms for object detection and precision landing.

You will calibrate sensors, perform multi-sensor fusion, and optimize performance while collaborating with navigation, controls, and hardware teams to integrate outputs into the broader system.

Qualifications

• Strong background in computer vision and/or machine learning with a degree in a related field or equivalent experience.
• Proficiency in C++ and Python.
• Experience with deep-learning frameworks (PyTorch, TensorRT) and classical CV (OpenCV).
• Experience processing lidar and/or radar point-cloud data.
• Experience with sensor calibration and multi-sensor fusion.
• Demonstrated ability to take algorithms from concept through real-time, embedded deployment.

Responsibilities

• Develop the onboard perception stack, fusing camera, lidar, and radar data for object detection, tracking, and precision landing capabilities.
• Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment.
• Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar.
• Optimize perception algorithms for real-time performance on embedded compute.
• Analyze test data to characterize and improve perception performance.
• Collaborate with navigation, controls, and hardware teams to integrate perception outputs into the broader system.

Skills

C++

Python

Deep learning

TensorRT

OpenCV

Lidar/Radar data

Sensor fusion

Embedded systems

Embedded deployment

Education

Related technical degree or experience

Tools

NVIDIA Jetson

CUDA

Job description

Archer is seeking an embedded perception engineer in San Jose, CA to develop the onboard perception stack and fuse sensor data for real-time, embedded deployment on aerospace-grade compute. You will design and implement deep-learning and classical CV algorithms for object detection and precision landing.

You will calibrate sensors, perform multi-sensor fusion, and optimize performance while collaborating with navigation, controls, and hardware teams to integrate outputs into the broader system.