Senior Systems Software Engineer, Containers, Kubernetes, and Confidential Computing
at Nvidia
USD 184,000-287,500 per year
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Algorithms @ 4
Cloud Computing @ 7
Communication @ 7
Data Structures @ 4
Distributed Systems @ 7
GPU
Go @ 7
Kubernetes @ 7
Linux @ 4
Rust @ 7
Security @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is looking for a hardworking Senior Systems Software Engineer to work on platform software based on open-source container runtimes and Kubernetes technologies. The role requires strong programming skills, a deep understanding of software design and development—especially with Rust and Go—experience with systems software and distributed systems, and excellent communication and planning skills.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.
Responsibilities
- Work as part of a small, dynamic team exploring innovative ways to make GPU-accelerated applications easier to develop, deploy, and monitor.
- Enable GPUs as first-class resources in container orchestrators such as Kubernetes.
- Contribute to cloud-native technologies that enable NVIDIA accelerators in Kubernetes environments.
- Collaborate with engineering teams across NVIDIA to ensure software integrates seamlessly throughout the stack.
- Multitask across different workstreams and efficiently address evolving priorities.
Requirements
- Bachelor's or master's degree in Computer Science or a related field, or equivalent experience.
- 8+ years of relevant work experience.
- Expert-level knowledge of a systems programming language such as Go or Rust.
- Solid understanding of data structures and algorithms.
- Strong understanding of container orchestration systems, particularly Kubernetes, and container technologies.
- Expert knowledge and experience working 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.
Preferred Qualifications
- Strong experience with Rust and Go.
- Strong 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.
Compensation and Benefits
- Base salary range: USD 184,000–287,500 per year, determined by location, experience, and the pay of employees in similar positions.
- Eligible for equity and benefits.
- Applications will be accepted at least until October 9, 2026.
NVIDIA uses AI tools in its recruiting processes and is committed to an inclusive work environment. The company does not discriminate on the basis of protected characteristics.
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