Amazon
Member of Technical Staff - Simulation (Synthetic Data Generation), Frontier AI & Robotics (FAR)
$150K–$300K
San Francisco, CA · Staff · Full-time · Posted Jun 16, 2026
- Experience
- 5+ years of non-internship professional software development experience; 5+ years programming with at least one language; 5+ years leading design or architecture of new and existing systems.
- Education
- Bachelor's degree in computer science or equivalent; preferred: Master’s degree in Computer Science, Computer Graphics, or a related field.
About the job
Build scalable 3D pipelines and procedural environments to generate high-fidelity synthetic data for training robotics perception foundation models.
What you'll do
- Architect 3D pipelines and procedural systems for scalable synthetic data generation.
- Develop automated 3D asset toolchains and optimize rendering performance and pipeline throughput.
- Work with researchers to define data requirements and ensure visual fidelity for sim-to-real transfer.
What they ask for
- Bachelor's degree in computer science or equivalent.
- Proficiency in Python and familiarity with C++.
- Software engineering experience in 3D domains, with knowledge of 3D graphics pipelines, computational geometry, spatial transformations, and 3D content automation or asset pipelines.
- Experience mentoring, serving as a tech lead, or leading an engineering team.
Nice to have
- Expertise with USD or OpenVDB; experience with Blender, Houdini, Unreal Engine, or Unity.
- Background in procedural generation, technical art, or environment generation; familiarity with rendering technologies.
Pay
$150,000/year to $300,000/year (base salary)
Tools
Python, C++, USD, OpenVDB, Blender, Houdini, Unreal Engine, Unity
AI focus
Generate synthetic 3D datasets to train large-scale robotics perception foundation models, supporting sim-to-real transfer.
Model-written summary · the original posting is authoritative