2 days ago
Base Salary
$184k - $288k/yr
Responsibilities
- Develop platform software based on open-source container runtimes and Kubernetes technologies.
- Enable NVIDIA GPUs as first-class resources in Kubernetes and other container orchestrators.
- Build cloud-native technologies that support NVIDIA accelerators.
- Collaborate with engineering teams across NVIDIA to integrate software across the stack.
- Address multiple evolving priorities and contribute new solutions to complex systems challenges.
Requirements
- BS or MS in Computer Science or a related field, or equivalent experience.
- 8 or more years of relevant work experience.
- Expert-level proficiency in a systems programming language such as Go or Rust.
- Strong understanding of data structures and algorithms, container orchestration systems, container technology, and Linux or Unix-like kernel internals.
- Strong background in cloud computing and distributed software design and development.
- Understanding of performance, security, and reliability in complex distributed systems.
- Strong communication, planning, problem-solving, and task-completion skills.
- Preferred experience includes Rust and Go, containers and Kubernetes, Kata Containers, container sandboxing, attestation, Key Broker Service, virtualization, SR-IOV, and vGPU.
Benefits
- Eligible for equity and benefits.
- Base salary range is 184,000 USD - 287,500 USD.
- Applications will be accepted at least until October 9, 2026.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.