Job description

NVIDIA is looking for a hardworking Senior Engineering Manager to effectively manage the team working on platform software based on open-source Container runtimes, Kubernetes, Kata and Confidential Container technologies. We expect you to have strong engineering management skills, a deep understanding of designing and building software, experience with Systems Software and Distributed systems, as well as excellent communication and planning skills. We also welcome out-of-the-box problem solvers who can provide new ideas while being strong at completing tasks. Expect to be constantly challenged, improving and evolving for the better. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. If you're creative, passionate about what you do, autonomous, and love having fun, we want to hear from you! What you will be doing: • You'll be part of a small and dynamic team that explores innovative ways to make GPU-accelerated applications easier to develop, deploy, and monitor. • Work on enabling GPUs as first-class resources in Kubernetes, Kata Containers and Confidential Containers. • This is an excellent opportunity to join the core group working on Cloud Native technologies enabling NVIDIA accelerators in the k8s environment. • Work with engineering teams across all of NVIDIA to ensure your team’s software integrates seamlessly up and down the stack. • Proficiently multitasking on different tracks to efficiently address evolving priorities. What we need to see: • BS/MS in Computer Science, or related field (or equivalent experience) • A minimum of 12 years of relevant professional experience, including at least 5 years dedicated to managing high-performing engineering teams. • Strong understanding of Container Orchestration Systems (K8s) and Container Technology. • Working knowledge in Systems programming languages, such as Rust and Go, alongside a strong foundation in data structures and algorithm design. • Knowledge and experience working with System internals of Unix/Unix-like kernels such as Linux. • Strong background in Cloud Computing and Distributed Software design and development. • Understanding of performance, security, and reliability in complex distributed systems. Ways to stand out from the crowd: • Strong recent experience managing engineering teams focused on Containers, Kubernetes and Confidential Computing technologies. • Real-world strong hands-on experience with Containers and Kubernetes. • Proficient with Kata Containers and Container sandboxing technologies • Well-versed in Attestation concepts, Key Broker Service, etc. • Knowledgeable with virtualization technologies, SR-IOV, vGPU, etc. 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. We are looking for great people like you to help us accelerate the next wave of artificial intelligence. 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 October 30, 2026. 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.

Requirements

Must-haves

You'll be part of a small and dynamic team that explores innovative ways to make GPU-accelerated applications easier to develop, deploy, and monitor.
Work on enabling GPUs as first-class resources in Kubernetes, Kata Containers and Confidential Containers.
This is an excellent opportunity to join the core group working on Cloud Native technologies enabling NVIDIA accelerators in the k8s environment.
Work with engineering teams across all of NVIDIA to ensure your team’s software integrates seamlessly up and down the stack.
Proficiently multitasking on different tracks to efficiently address evolving priorities.
BS/MS in Computer Science, or related field (or equivalent experience)
A minimum of 12 years of relevant professional experience, including at least 5 years dedicated to managing high-performing engineering teams.
Strong understanding of Container Orchestration Systems (K8s) and Container Technology.
Working knowledge in Systems programming languages, such as Rust and Go, alongside a strong foundation in data structures and algorithm design.
Knowledge and experience working with System internals of Unix/Unix-like kernels such as Linux.
Strong background in Cloud Computing and Distributed Software design and development.
Understanding of performance, security, and reliability in complex distributed systems.
Strong recent experience managing engineering teams focused on Containers, Kubernetes and Confidential Computing technologies.
Real-world strong hands-on experience with Containers and Kubernetes.
Proficient with Kata Containers and Container sandboxing technologies
Well-versed in Attestation concepts, Key Broker Service, etc.
Knowledgeable with virtualization technologies, SR-IOV, vGPU, etc.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 30, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesrustgoai

Platform: eightfold
Effort: medium