Image Scientist - Camera Simulation

As an Simulation Engineer on the Camera & Depth Architecture team, you will design, develop, and maintain high-throughput simulation frameworks to generate large volumes of synthetic imagery on-demand, and build and refine models of camera systems—from lens to sensor to ISP—to simulate real-world imaging performance. Collaborate with cross-functional teams to define hardware design specifications and key performance metrics for photographic and machine-vision applications. Conduct simulation studies to characterize end-to-end performance (hardware and software) and guide product architecture decisions. Partner with cross functional teams to ensure simulation accuracy reflects real-world hardware behavior and communicate findings and recommendations to stakeholders across hardware, software, and product teams and manage project deliverables and schedules to meet commitments. BS in Optics, Physics, Electrical Engineering or related field and 10 years of relevant industry experience. Programming experience in at least one of the coding languages: C, C++, Python, or Matlab. Experience with one or more of the following: optical imaging systems, camera control systems, camera ISP. Experience with algorithms for image processing. MS/PhD degree in Optics, Physics, Electrical Engineering or Image Signal Processing. Experience in project management and/or driving projects independently in ambiguous problem spaces. Published research in imaging, computational photography, or computer vision. Experience with camera sensor physics, noise modeling, or radiometry. Experience with synthetic data generation for ML training pipelines, model optimization and/or deployment, related to imaging and data analyses. Experience with GPU computing (CUDA, OpenCL) or distributed processing at scale.

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