Archer
Computer Vision Engineer
About this role
Archer, an aerospace company in San Jose, seeks a Computer Vision Engineer to develop the onboard perception stack for an all-electric vertical takeoff and landing aircraft. You'll build algorithms for sensor fusion (camera, lidar, radar), real-time object detection, and precision landing capabilities, deploying deep learning and classical CV solutions on embedded platforms.
What you'll do
- Develop onboard perception stack integrating camera, lidar, and radar data for object detection, tracking, and precision landing
- Design and deploy deep-learning and classical computer vision algorithms for real-time embedded systems
- Perform sensor calibration and multi-sensor fusion across multiple sensor modalities
- Optimize perception algorithms for real-time performance on embedded compute platforms
- Analyze test data to characterize and improve perception system performance
- Collaborate with navigation, controls, and hardware teams on system integration
What they're looking for
- Computer vision and machine learning
- C++ and Python programming
- Deep learning frameworks (PyTorch, TensorRT)
- Classical computer vision (OpenCV)
- Lidar and radar point-cloud processing
- Sensor calibration and multi-sensor fusion
- Embedded algorithm deployment
- Real-time systems optimization
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Archer
Archer develops all-electric vertical takeoff and landing (eVTOL) aircraft for sustainable aviation. The company is hiring engineers across electrical integration, software, aerodynamics, and controls to build and validate autonomous flight systems, propulsion architectures, and aircraft design.
View all jobs at ArcherLikely interview questions
- Walk us through a project where you took a computer vision algorithm from concept to real-time embedded deployment—what were the key challenges?
- Describe your experience with multi-sensor fusion. How have you handled synchronization and calibration across different sensor modalities?