Role overview
**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.