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 involves managing a small, dynamic team exploring ways to make GPU-accelerated applications easier to develop, deploy, and monitor, and enabling GPUs as first-class resources in Kubernetes, Kata Containers, and Confidential Containers. The manager will work with engineering teams across NVIDIA to ensure software integrates throughout the stack and will manage multiple workstreams as priorities evolve. The position calls for strong engineering management, software design and development expertise, systems software and distributed systems experience, and excellent communication and planning skills. NVIDIA describes its work as focused on AI, high-performance computing, and visualization, and offers a base salary range of $272,000 to $431,250, along with eligibility for equity and benefits. Applications will be accepted at least until October 30, 2026.

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, and a strong foundation in data structures and algorithm design.
  • Knowledge and experience with the 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, software design and development, 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.
  • Familiarity with attestation concepts and Key Broker Service.
  • Knowledge of virtualization technologies, SR-IOV, and vGPU.

Responsibilities

  • Manage the team developing platform software based on open-source 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.
  • Work with engineering teams across NVIDIA to ensure the team’s software integrates seamlessly across the stack.
  • Manage multiple workstreams and address evolving priorities.

Benefits

  • Equity
  • Benefits
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service