About Deepnight

Building The Next Generation of Night Vision Devices

Tech description:

We use PyTorch on 8x H100 GPUs. We deploy our night vision AI onto silicon on chips. Techniques like model compression, quantization aware training, knowledge distillation, are utilized. Efficient image processing algorithms are implemented in Halide and C++.

Job description:

# Senior Android ISP Engineer Deepnight is creating the best low light camera in the world by embedding an AI model into it. Our model processes the camera’s extremely limited signal with an edge AI chip, and can handle light levels as dark as overcast moonless starlight (0.1 millilux), which is as dark as it can possibly be while on the exposed surface of the earth. The camera is one cubic inch, and we have optimized our model for mobile constraints - working at 90 FPS and consuming only 1 watt. We are making all robots, drones, autonomous vehicles, and head-mounted displays able to perform in total darkness. ![uploaded image](/media/?key=user_uploads/1583389/46f6ad28-f01b-4c7b-a5d3-c35f046d424a) ## The Role We are seeking a highly motivated and experienced Senior level Android ISP Engineer to join our rapidly growing team. In this role, you will be instrumental in designing, developing, and optimizing software for embedded systems, with a strong focus on Android hardware abstraction layers and setting up complicated pipelines between ISP, GPU and DSPs. ## Responsibilities * Implement and maintain Android Hardware Abstraction Layer (HAL) modules. * Configure ISP pipelines to match our unique project needs. * Collaborate closely with hardware, test, and product teams to ensure seamless integration and optimal performance. * Debug and troubleshoot complex embedded system issues across hardware and software. * Contribute to software architecture design and code reviews. * Document designs, implementations, and testing procedures. ## Qualifications * Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. * Experience with Qualcomm CAMX development and platforms. * Strong proficiency in C/C++. * In-depth knowledge of ISP pipelines and configurations for metadata and image formats * Solid experience with Android HAL implementations. * Demonstrated experience in enabling and integrating new camera sensors. ## Location San Diego (remote) or San Francisco (hybrid) preferred.

Skills:

Android, C++, Image Processing, Embedded Linux

DeepNight remote jobs

Embedded Software Engineer

Senior Android ISP Engineer

Applied AI Research Scientist - Computational Imaging