NVIDIA has been reinventing computer graphics, PC gaming, and accelerated computing for 30 years. It is 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, generative AI, 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.
Our company is at the forefront of technological innovation, and we are dedicated to driving efficiency and optimizing the performance of our infrastructure both on-prem and cloud. Join us in this exciting endeavor!
We are seeking a highly skilled Principal Infrastructure Engineer to join our dynamic team to build the next generation of IT computing environment, and help lead the team through a major technology transformation into running AI on-prem and build infrastructure by integrating Enterprise ready platforms while building a solid foundation with automation.
What you will be doing:
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Lead initiatives to transform IT Infrastructure platform architecture and services On-Prem for modern AI workloads and AI semi conductor and software development.
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Collaborate with partners to design architecture, Build & Operate platforms that transform Storage, Compute & Middleware with modern security paradigms.
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Build software and automation to run infrastructure at scale with minimal human intervention. Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, monitoring.
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Collect and review system data for capacity and planning purposes, analyze capacity data and develop plans for appropriate level enterprise-wide systems, and coordinate with management personnel in implementing changes.
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Collaborate with NVIDIA leadership, senior engineers, program managers, and product managers to develop compelling IT products and services that meet customer needs.
What we need to see:
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Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field, or equivalent experience.
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15+ years of proven experience in compute platform engineering with a focus on automation.
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Experience with design, deployment and operation of infrastructure that supports AI and SW development at scale including Kubernetes, integrating modern AI Data infrastructure platforms into Kubernetes workloads.
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Proven experience integrating existing application architectures and build new identify opportunities for containerization to improve scalability, reliability, and efficiency.
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Proficiency in programming languages such as Go and/or Python. Experience in developing tools for data analysis and performance profiling, Development with Terraform, Config Management tools.
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Experience with designing and running large environments consisting of BareMetal servers/virtualized environments with a mix of tens of thousands of VMs and cloud infrastructure or AI infrastructure.
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Deep understanding of other infrastructure components like Storage, DNS, AD, Security Tools etc..
Ways to stand out from the crowd:
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Solid understanding of microservices architecture, infrastructure as code (IaC) and configuration management tools.
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Understanding of AI ops and how to leverage LLMs to automate various optimization initiatives
NVIDIA is 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. If you're creative and autonomous, we want to hear from you!
#LI-Hybrid
The base salary range is 248,000 USD - 391,000 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.
Top Skills
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.”
