Member of Technical Staff - Simulation (Synthetic Data Generation), Frontier AI & Robotics (FAR)

Overview We are seeking a Simulation Engineer to join our AI robotics research team, focusing on high-fidelity synthetic data generation. In this role, you will leverage classic game engine architecture, 3D pipelines, and procedural generation techniques to build highly realistic, scalable environments. You will work alongside researchers to generate the 3D datasets required to train large‑scale foundation models for robotics perception. Key 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 such as USD and 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. Basic 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 of new and existing systems (design patterns, reliability, and scaling). Experience as a mentor, tech lead, or leading an engineering team. Proficiency in Python and 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. Preferred Qualifications Expertise in scalable 3D ecosystem formats such as Universal Scene Description (USD) and OpenVDB. Experience with 3D content creation and procedural tools such as Blender, Houdini, Unreal Engine, or Unity. Background in procedural generation, technical art, or environment generation. Familiarity with rendering technologies (ray tracing, rasterization, physically based rendering). Basic understanding of physical properties in 3D engines (collisions, basic physics solvers) as a nice‑to‑have. Master’s degree in Computer Science, Computer Graphics, or a related field. Equal Opportunity and Legal Compliance Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff; and following all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position, including the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgement, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation and Benefits Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $150,000/year in our lowest geographic market up to $300,000/year in our highest geographic market. Pay is based on a number of factors, including market location, and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. For more information, please visit Applicants should apply via our internal or external career site. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country or region you’re applying in isn’t listed, please contact your Recruiting Partner. #J-18808-Ljbffr Amazon Science