About The Position

NVIDIA is seeking a Senior Engineering Manager to lead a team developing platform software based on open-source container runtimes, Kubernetes, Kata Containers, and Confidential Containers. The role calls for strong engineering management skills, deep software design and development knowledge, experience with systems software and distributed systems, and excellent communication and planning skills. You will join a small, dynamic team exploring ways to make GPU-accelerated applications easier to develop, deploy, and monitor. The team works to enable GPUs as first-class resources in Kubernetes, Kata Containers, and Confidential Containers, contributing to cloud-native technologies that enable NVIDIA accelerators in Kubernetes environments. You will coordinate with engineering teams across NVIDIA to integrate the team’s software throughout the stack and manage multiple workstreams as priorities evolve.

Requirements

  • Bachelor’s or master’s degree in Computer Science or a related field, or equivalent experience.
  • At least 12 years of relevant professional experience, including at least 5 years managing high-performing engineering teams.
  • Strong understanding of container orchestration systems, including Kubernetes, and container technology.
  • Working knowledge of systems programming languages such as Rust and Go, with a strong foundation in data structures and algorithm design.
  • Knowledge and experience with system internals of Unix or 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 engineering management, communication, and planning skills.

Nice To Haves

  • Recent experience managing engineering teams focused on containers, Kubernetes, and confidential computing technologies.
  • Hands-on experience with containers and Kubernetes.
  • Proficiency with Kata Containers and container sandboxing technologies.
  • Knowledge of attestation concepts and Key Broker Service.
  • Knowledge of virtualization technologies, SR-IOV, and vGPU.

Responsibilities

  • Manage the team developing platform software based on container runtimes, Kubernetes, Kata Containers, and Confidential Containers.
  • Explore ways to make GPU-accelerated applications easier to develop, deploy, and monitor.
  • Enable GPUs as first-class resources in Kubernetes, Kata Containers, and Confidential Containers.
  • Coordinate with engineering teams across NVIDIA to ensure the team’s software integrates across the stack.
  • Manage multiple workstreams while addressing evolving priorities.

Benefits

  • Equity
  • Benefits (specific benefits not listed)
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