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.
Seeking seasoned leader to manage a software engineering team for NVIDIA DGX Cloud Kubernetes (DGXC-K8s) organization, supporting internal and external clients. Be part of a groundbreaking team excelling in AI and cloud computing! We are building a world-class GPU cloud using the latest NVIDIA technologies, and built on top of Kubernetes. You will gain hands-on experience operating a platform that is on the forefront of emerging AI needs!
What Will You Be Doing:
Partner with multiple internal teams to gather requirements, provide feedback to engineering teams, and develop solutions to aid in their success
Develop, guide, and supervise a team of engineers to educate partner teams on standard methodologies for cloud-based solutions
Gain a deep understanding of how NVIDIA develops across multiple verticals, including autonomous vehicles, chip manufacturing, hardware design, and AI
Present to internal partners and NVIDIA leadership on roadmaps, vision, and demos
Participate in open-source communities of software we use and build
What We Need To See:
BS/MS degree in Computer Science or related areas (or equivalent experience)
10+ overall years of experience in designing and building distributed software systems
4+ years of experience in leading a team of engineers with varying talents across organizations
Strong ability to write code in mainstream systems programming languages such as Golang, Java, C, C++, or Rust
Demonstrated ability to craft and implement maintainable APIs for consumers
Experience with Kubernetes and/or distributed task scheduling
Understanding of underlying Linux Kernel scheduling, memory management, and networking subsystems
Understanding of infrastructure, networking, storage, and DevOps scripting/tooling
Container orchestration experience (containerd, CRI-O, Docker)
Familiarity with Identity and Access Management approaches and the ability to reach cross-functional consensus while dealing with ambiguity
Ways To Stand Out From The Crowd:
Experience in a Hyperscale Cloud Service Provider (public-facing or not)
Experience in measuring and improving operational excellence
Experienced, persuasive, and effective presentation skills (written and verbal)
Demonstrated skills in leadership, communication, mentoring, analysis, problem-solving, and short/long-term planning
Excellent interpersonal and organizational skills and the ability to handle diverse situations
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 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- Bachelor's or master's degree in Computer Science or a related field, or equivalent experience
- 10+ years of experience designing and building distributed software systems
- 4+ years of experience leading engineering teams across organizations
- Ability to write code in Golang, Java, C, C++, or Rust
- Experience designing and implementing maintainable APIs
- Experience with Kubernetes and/or distributed task scheduling
- Understanding of Linux Kernel scheduling, memory management, and networking subsystems
- Understanding of infrastructure, networking, storage, and DevOps scripting and tooling
- Container orchestration experience with containerd, CRI-O, or Docker
- Familiarity with Identity and Access Management approaches
- Experience at a hyperscale cloud service provider
- Experience measuring and improving operational excellence
- Strong written and verbal presentation skills
- Leadership, communication, mentoring, analysis, problem-solving, and planning skills
- Excellent interpersonal and organizational skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
