Electrical Engineer

DeepNight is building night vision with AI software. We are pushing the state of the art of computational imaging to build a new generation of night vision goggles that see in the dark using AI. We conduct novel research in computational photography, novel efficient neural architectures, and model compression techniques to build extremely efficient AI on the edge. We’re seeking an electrical engineer for cameras/display bring-up. The ideal candidate will have a strong background in display and camera sensor integration, with expertise in MIPI connections, board design, and layout. This role requires a hands-on approach to hardware development, including low-level firmware implementation and embedded debugging using various test equipment. Deepnight builds AI-powered vision systems that enable humans and machines to see in near-total darkness. We have developed a neural network that achieves performance on par with traditional military night vision, but embedded directly into commodity CMOS cameras. We are now vertically integrating - designing and manufacturing complete hardware products around our AI model to push the limits of low-light imaging. Our work spans AI research, optics, sensors, and embedded systems. Design, develop, and test electrical systems for displays and camera sensors. Work extensively with MIPI interfaces for high-speed data transfer. Lead board design and layout activities, ensuring signal integrity and power efficiency. Collaborate with firmware engineers to implement low-level firmware for display and camera sensor control. Perform embedded debugging using oscilloscopes, logic analyzers, and other test equipment to diagnose and resolve hardware issues. Document design specifications, test plans, and validation reports. Work effectively within a cross-functional team, communicating technical information clearly and concisely. Bachelor's or Master's degree in Electrical Engineering or a related field. 3+ years of experience in electrical engineering with a focus on display and camera sensor integration. Proven experience with MIPI D-PHY/C-PHY connections. Strong proficiency in PCB design tools Experience with board layout and routing for complex digital and analog circuits. Proficient in embedded debugging techniques and tools. Hands-on experience with oscilloscopes for signal integrity analysis and debugging. Experience with image processing pipelines. Knowledge of various display technologies (e.g., LCD, OLED). Familiarity with embedded operating systems. Experience with high-speed serial interfaces beyond I2C or I3C 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++.