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Apple Image Scientist - Simulation United States, California, Sunnyvale 247529155
21.11.2024
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Description
• Develop GPU-based image simulation pipelines including models for optics, sensor, and ISP.• Develop and maintain tools to generate large volumes of synthetic images on-demand.• Characterize end-to-end (hardware and software) performance of features through simulation studies.• Develop differentiable models for optics and sensors to train and optimize machine vision algorithms.• Manage project deliverables and schedules to meet commitments to product development teams.
Minimum Qualifications
- Bachelor’s degree
- Programming experience in C or C++
- EXPERIENCE IN ONE OF THE FOLLOWING:
- Experience with a GPU API for compute or rendering, such as : Cuda, OpenCL, Metal, Vulkan, OpenGL, DirectX
- Experience with a rendering engine, such as : Unreal-Engine, Unity, Blender, V-Ray, PBRT, Mitsuba or similar
- Image rendering and processing: Gaussian raytracing or splatting, NeRF, image-generative networks, computer vision, or related topics
- Optics: imaging system design, lens design, computational imaging, or similar
Preferred Qualifications
- 3 years of relevant industry experience
- Experience in the following is a plus: Halide, LLVM Python, Linux, continuous integration/deployment, Docker, CMake
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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