Computer Vision & Deep Learning Engineer – Edge AI Imaging
A pioneering team is building the world’s most advanced low-light camera, powered by embedded AI. Their compact device uses a custom edge AI model that delivers real-time, high-frame-rate vision while operating under extremely low light and power constraints.
The goal: enable robots, drones, autonomous vehicles, and AR/VR headsets to see clearly in total darkness.
About the role
You’ll join a world-class technical team advancing the state of the art in low-light computer vision. You’ll design novel neural architectures, train and optimize models, and deploy real-time inference on embedded hardware optimized for performance, accuracy, and efficiency.
You should have:
- Strong proficiency in PyTorch
- A degree in Computer Science or 2+ years of relevant experience
- Solid grounding in computer vision and deep learning
Bonus points for:
- Experience with quantized or compressed neural networks
- Familiarity with QNN, AIMET, TensorRT, or SNPE
- Work in low-level vision tasks (denoising, super-resolution, frame interpolation)
- Knowledge of CMOS imaging and sensor physics
- Relevant research publications or open-source contributions
If you’re excited by the challenge of teaching machines to see in complete darkness — and want your work to define the next generation of intelligent vision systems — we’d love to hear from you.
