Member of Technical Staff - Simulation, Frontier AI Robotics

AmazonSan Francisco, CA
$150,000 - $300,000

About The Position

We are seeking a Member of Technical Staff Simulation Engineer to join our AI robotics research team developing foundation models for robotics. You will rapidly develop 3D physics-based and photorealistic simulations alongside scientists to enable training large-scale machine learning models.

Requirements

  • 5+ years of non-internship professional software development experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 5+ years of programming with at least one software programming language experience
  • Experience as a mentor, tech lead or leading an engineering team
  • Bachelor's degree in computer science or equivalent
  • Experience leading engineering teams as a mentor or tech lead
  • Expertise in Python, C++ and CUDA programming
  • Experience with TensorRT or similar ML optimization frameworks
  • Ability to optimize ML models for production

Nice To Haves

  • Expertise in NVIDIA's ML stack (cuDNN, CUDA Graph, etc.)
  • Experience with ML compilers (ONNX Runtime, TVM, etc.)
  • Experience with transformer model optimization
  • Background in performance profiling and optimization
  • Experience working directly with research teams
  • Ability to build robust monitoring systems
  • Experience with large-scale ML serving systems

Responsibilities

  • Develop simulations for reinforcement learning, closed-loop simulations and synthetic data generation
  • Implement essential robotics features, including accurate modeling of sensors, actuators, and controllers
  • Build real-to-sim workflows for dynamic environments and robotics tasks
  • Implement simulation features to minimize sim-to-real gaps through domain randomization and system identification
  • Create asset toolchains supporting industry-standard formats (URDF, MJCF, USD)
  • Collaborate closely with a team of ML researchers to enable large-scale robotics training pipelines

Benefits

  • equity
  • sign-on payments
  • a full range of medical, financial, and/or other benefits
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