Senior Software Engineer - Simulation

NVIDIA•Us, CA

18h

About The Position

NVIDIA's Metropolis Synthetic Data Generation (SDG) team is seeking a highly motivated and experienced Senior Software Engineer to contribute to building scalable Physical AI Digital Twin and Synthetic Data Generation solutions. This role is ideal for individuals passionate about exploring new technological frontiers and driving innovation in Physical AI, Agentic development, and Deep Learning. The team develops Action and Event Generation extensions for Isaac Sim, a platform for 3D simulation. NVIDIA has a rich history of innovation in computer graphics, PC gaming, and accelerated computing, and is now leveraging AI to shape the future of computing, where GPUs power intelligent systems like robots and self-driving cars. Joining NVIDIA means being part of a diverse and supportive environment where employees are inspired to do their best work and make a significant impact on the world.

Requirements

Bachelor or higher degree in computer science, engineering, or equivalent experience.
12+ years of industrial experience in large-scale software development in Computer Graphics, Game Engine, or 3D Simulation.
Excellent programming skills in languages such as C/C++, Python, and scripting languages.
Proficiency in 3D simulation of one or more physics phenomena (e.g., rigid-body dynamics, fluid dynamics, material fracture, combustion, audio synthesis, and propagation).
Proficiency in physics Game engines (e.g., Unreal, Unity, Chrono, Mujoco).
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
Excellent problem-solving skills and attention to detail.
Ability to work effectively in a fast-paced, collaborative environment.

Nice To Haves

Experience with NVIDIA GPU technology, Omniverse programming and developing AI agents.
Experience with content generation using LLM and Generative AI models.
Hands-on experience with 3D virtual content creation and animation tools (e.g., Maya, Blender, Houdini).
Understanding of DevOps principles and practices in Cloud environments.

Responsibilities

Build, develop, and maintain scalable 3D simulation software for Digital Twin and Synthetic Data Generation applications.
Collaborate with multi-functional teams to build backend services and AI Agents to create end-to-end SDG solutions.
Implement scalable and resilient solutions for distributed computing environments.
Optimize the performance and reliability of cloud applications and services.
Develop user interfaces and frontend components as needed.
Work closely with product managers to define and prioritize features and requirements.
Participate in code reviews, build discussions, and team meetings.
Stay up-to-date with industry trends and guidelines to ensure our solutions remain innovative.