Senior Software Engineer - Simulation

at Nvidia

USD 224,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
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AI @ 4 Deep Learning DevOps @ 4 Docker @ 4 GPU @ 4 GenAI Generative AI @ 4 Kubernetes @ 4 LLM Python @ 6 Software Development @ 4

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, NVIDIA is using AI to define the next era of computing, with GPUs powering computers, robots, and self-driving cars that can understand the world.

The Metropolis Synthetic Data Generation (SDG) team is seeking a highly motivated and experienced Senior Software Engineer to help build scalable Physical AI Digital Twin and Synthetic Data Generation solutions. The team develops Action and Event Generation extensions for Isaac Sim and works across Physical AI, agentic development, and deep learning.

Responsibilities

Build, develop, and maintain scalable 3D simulation software for Digital Twin and Synthetic Data Generation applications.
Collaborate with multifunctional teams to build backend services and AI agents for 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 solutions remain innovative.

Requirements

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

Preferred Qualifications

Experience with NVIDIA GPU technology, Omniverse programming, and developing AI agents.
Experience with content generation using LLMs and generative AI models.
Hands-on experience with 3D virtual content creation and animation tools such as Maya, Blender, or Houdini.
Understanding of DevOps principles and practices in cloud environments.

Benefits

The position includes eligibility for equity and benefits. NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.

Applications for this job will be accepted at least until May 24, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.