Computer Vision Engineer
Hybrid (San Francisco, CA, US)$160k - $240kFull-timePosted 1mo ago
About the role
Deepnight is building low-light cameras with embedded AI for edge devices. The role focuses on advancing state-of-the-art in computer vision and deep learning for real-time, on-device imaging on constrained hardware, including design of neural architectures, training models, and deploying real-time inference on embedded platforms.
Responsibilities
- Design novel neural architectures, train models, and deploy real-time inference on embedded hardware.
- Advance the state of the art in low-light imaging through computational photography and model optimization.
- Utilize PyTorch and CV/DL techniques to improve image quality and reduce model latency.
- Collaborate across the team (engineering, ML, and hardware) to integrate AI on the edge.
Qualifications
- Proficiency with PyTorch.
- Strong background in computer vision.
- This position supports a U.S. government contract that requires all employees performing the work to be U.S. citizens. Please confirm that you meet this contract requirement before applying.
- Master’s degree in computer science or 2 years of work experience.
Skills
Required:PyTorchComputer Vision
Nice to have:On-device AI / Embedded AIQuantized neural networksCMOS imaging concepts
Last updated Sep 16, 2026. Interested? Apply on the company site.
About Deepnight
Building The Next Generation of Night Vision Devices
DeepNight is building the next generation of night vision with AI.
artificial-intelligencecomputer-vision
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