The NVIDIA GPU Cloud (NGC) organization is looking for a talented leader to lead all aspects of a software engineer team supporting internal customers' transition to our platform. This partnership requires you to gain a deep understanding of the customer needs, how their application(s) work, and assist them in developing standard methodologies enabling success in a multi-tenant cloud environment. The information you provide will help craft our platform to better the success of our customers both internally and externally.
We expect you to have expert knowledge with cloud-based deployments across compute, storage and networking environments. Along with this, you need a strong understanding of application portability between 1st and 3rd party clouds and what it takes to simplify application requirements in order to do this well. You should also be familiar with open source technologies that can assist with cloud deployments and recommend approaches to the larger engineering teams to expedite implementation for our customers.
What will you be doing:
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Partner with multiple internal teams to gather requirements, give feedback to engineering teams, and develop solutions to aid in their success
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Build, mentor and lead a team of engineers that will inform partner teams of best practices for cloud based solutions
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Gain deep understanding of how NVIDIA develops across multiple verticals (autonomous vehicles, chip manufacturing, HW design, AI, etc.)
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Present to internal stakeholders and NVIDIA leadership on roadmaps, vision, & demos
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Speak at internal/external events about our public cloud
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Participate in open source communities of software we leverage and build
What we need to see:
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BS/MS degree in Computer science or related areas (or equivalent experience)
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6+ overall yrs of experience with designing and building distributed software systems.
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3 + years experience in managing a team of engineers with varying talents and across organizations
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Demonstrated ability to write code in a mainstream systems programming language such as Golang, Java, C, C++, or Rust.
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Demonstrated ability to design and implement maintainable APIs for consumers.
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Experience with Kubernetes and/or distributed task scheduling
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Understanding of underlying Linux Kernel scheduling, memory management, and networking subsystems.
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Understanding of Infrastructure, Networking, Storage, and DevOps scripting/tooling.
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Understanding of data storage technologies (databases, file, block, blob).
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Container orchestration experience (containerd, CRI-O, Docker)
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Familiarity with Identity and Access Management approaches and demonstrated ability to reach multi-functional consensus without all the details
Ways to stand out from the crowd:
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Experience in a Hyperscale Cloud Service Provider (public facing or not)
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Knowledge of software interface design for less technical end-users
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Experienced, persuasive and effective presentation skills (written and verbal)
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Demonstrated skills in leadership, communication, coaching, analysis, problem solving and short/long term planning
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Excellent interpersonal and organizational skills and ability to handle diverse situations
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!
The base salary range is 224,000 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.
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.”