Simulation Engineer - Synthetic Data & 3D Environments

Amazon; San Francisco (CA); On-site; USD 150,000 - 300,000; Full time

Job summary

Frontier AI & Robotics (FAR) in San Francisco is seeking a Member of Technical Staff - Simulation (Synthetic Data Generation) to build high-fidelity synthetic data for robotics perception. You will leverage game engine architectures, 3D pipelines and procedural generation to create scalable environments and datasets for training large-scale foundation models.

Collaborate with researchers to define data requirements and ensure visual fidelity for sim-to-real transfer.

Qualifications

• Bachelor's degree in computer science or equivalent.
• 5+ years of non-internship professional software development experience.
• 5+ years of programming with at least one software programming language.
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• Experience as a mentor, tech lead or leading an engineering team.
• Proficiency in Python, familiarity with C++.
• Software engineering experience working within 3D domains (gaming, visual effects, core engine development, or rendering), and understanding of 3D graphics pipelines, computational geometry, and spatial transformations.
• Experience building automation or asset pipelines for 3D content creation.

Responsibilities

• Architect and develop scalable 3D pipelines for high-fidelity synthetic data generation.
• Build procedural generation systems to create diverse, dynamic environments and varying object configurations at scale.
• Develop and maintain automated asset toolchains that support industry-standard ecosystem formats (e.g., USD, OpenVDB).
• Optimize rendering performance and pipeline throughput to meet the massive data requirements of ML training.
• Collaborate with researchers to define synthetic data requirements and ensure the generated data meets the visual fidelity needed for sim-to-real transfer.

Skills

Python

C++

3D graphics

Mentoring

Team leadership

ML data generation

Education

Bachelor's degree in Computer Science or equivalent

Master's degree in CS or Computer Graphics

Tools

USD

OpenVDB

Blender

Houdini

Unreal Engine

Unity

Job description

Frontier AI & Robotics (FAR) in San Francisco is seeking a Member of Technical Staff - Simulation (Synthetic Data Generation) to build high-fidelity synthetic data for robotics perception. You will leverage game engine architectures, 3D pipelines and procedural generation to create scalable environments and datasets for training large-scale foundation models.

Collaborate with researchers to define data requirements and ensure visual fidelity for sim-to-real transfer.