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Apple Staff ML Rendering Engineer - Simulation Special Projects 
United States, California, Sunnyvale 
383045693

Yesterday
deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.
  • Develop and integrate cutting-edge machine learning techniques into rendering pipelines to improve visual fidelity and performance.
  • Profile and optimize ML-based rendering solutions to ensure best performance on both real time applications and offline.
  • Build pipelines, Machine Learning infra, and tooling focused on simulation and evaluation.
  • Review and prototype algorithms, participate in periodic robotics and AI/ML research paper discussions and literature reviews.
  • Strong experience with 3D rendering engine internals: geometry pipelines, shaders, materials, full screen effects, and newer techniques such as real-time ray tracing.
  • Solid background in machine learning, and specifically in applications related to graphics and image processing. Topics might include Gaussian Splats, denoising algorithms, NeRFs, diffusion models, etc.
  • Strong software development skills in terms of projects and features shipped
  • Experience with GPU programming (CUDA, DirectX, Metal) and shader languages (HLSL, GLSL)
  • Excellent collaboration skills: strong verbal and written communication skills.
  • BS/MS/PhD in Computer Science or a related field.
  • Experience with both real time and offline rendering systems is a plus
  • Experience optimizing ML models for real-time inference on GPUs is a plus
  • Experience with large-scale simulation systems is a plus.
  • Experience with sensor simulation topics is a plus
  • Experience with robotics, embodied AI, or LLMs is a plus.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.