Senior Manager, Infrastructure Engineering

Reposted Yesterday
Be an Early Applicant
Hiring Remotely in SC
Remote
272K-431K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead a small team to develop and optimize backend infrastructure for cloud-based simulations, ensuring quality, performance, and cross-platform support.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a hands-on engineering leader in the backend infrastructure space to further the development of our high performance cloud-based simulations and rendering capabilities

What you'll be doing:

  • Lead a small team of senior engineers

  • Build, develop, deploy, optimize, and document backend infrastructure features.

  • Ensure a high level of architectural quality, performance in the developed code and features

  • Debugging and fixing deficiencies

  • Support members of other teams / clients as they adopt the technology developed

  • Support the technology on multiple hardware platforms

  • Partnering and collaborating with peers and managers

What we need to see:

  • B.Sc, Master’s or Ph.D. in Computer Science/Engineering, Math/Physics/Statistics or a related field (or equivalent experience)

  • 12+ overall years of validated experience with 5+ years of management

  • Strong Rust, Python, or C++ skills (best if we can see your GitHub)

  • Experience with large scale storage systems and/or networking

  • Deep expertise in Kubernetes, cloud native computing, and infrastructure-as-code

  • Self-starter with strong sense of end-to-end ownership

  • Able to work independently in ambiguous environment

  • A shown sense of software architecture

  • Outstanding teammate and collaborator

Ways to stand out from the crowd:

  • Knowledge of USD format!

  • Proven record to optimize code / data for performance!

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 25, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.

Top Skills

C++
Cloud Native Computing
Infrastructure-As-Code
Kubernetes
Python
Rust
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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