NVIDIA

Senior System Software Engineer, Metropolis

Santa Clara, CA US
USD 148k - 356k
AWS Azure GCP Deep Learning Python API Kubernetes
Description

NVIDIA is a worldwide technology company. Our work in visual computing - the art and science of computer graphics - has led to thousands of patented inventions, breakthrough technologies, deep industry relationships and a globally recognized brand. NVIDIA’s Metropolis division builds industry leading technology in Virtual Reality, Artificial Intelligence, Deep Learning and Digital Twin for many industrial domains (https://developer.nvidia.com/metropolis). NVIDIA is looking for a highly motivated and experienced Software Engineer to join the Metropolis Performance team! We are looking for an engineer to support and contribute to the productization of scalable Digital Twin and Synthetic Data Generation solutions.

What you’ll be doing:

  • Design, develop, and maintain scalable 3D simulation software for Digital Twin and Synthetic Data Generation applications.

  • Collaborate with multi-functional teams to build backend services out of existing libraries and applications.

  • Implement scalable and resilient solutions for distributed computing environments.

  • Optimize 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, design discussions, and team meetings.

  • Stay up-to-date with industry trends and standard methodologies.

What we need to see:

  • MS or higher degree in computer science, engineering, or equivalent experience.

  • 5+ years of industrial experience in large scale software development in 3D Simulation, Game development. (school experiences do not count)

  • Proficiency in 3D simulation of one or more physics phenomena (e.g. rigid-body dynamics, fluid dynamics, fracture of materials, combustion, audio synthesis and propagation).

  • Excellent programming skills in languages such as C/C++, Python, scripting languages, and cloud APIs.

  • Proven real-world experience in performance profiling/benchmarking and optimization on large-scale distributed systems

  • Expert level experience with Containers, Kubernetes, Helm charts, and CI/CD pipelines.

  • Excellent problem-solving skills and attention to detail.

  • Ability to work effectively in a fast-paced, collaborative environment.

Ways to stand out from the crowd:

  • Experience with content generation with LLM and Generative AI models

  • Hands-on experience with 3D virtual content creation and animation tools (e.g. Maya, Blender, Houdini)

  • Experience with architecting and deploying security services on cloud platforms like AWS, Azure, and GCP, including hybrid private-public cloud architecture..

With competitive salaries and a generous benefits package (www.nvidiabenefits.com ), we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

The base salary range is 148,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA
NVIDIA
Artificial Intelligence (AI) GPU Hardware Software Virtual Reality

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