Senior Software Engineer, AI Infrastructure
NVIDIA· Engineer, Sys SW
Tel Aviv, IsraelFull-timePosted 4w ago
About the role
Senior Software Engineer to build infrastructure for AI workloads at scale, working with Python, Go, Kubernetes, and distributed systems, and contributing to an open-source project.
Responsibilities
- Develop scalable services, APIs, and libraries for managing and loading AI models and data.
- Integrate cloud infrastructure, storage, and AI frameworks in Kubernetes environments.
- Help guide an open-source project’s technical direction, review contributions, and coordinate releases with the community.
- Deliver features from design through production, improving performance and reliability through testing, monitoring, and benchmarking.
- Collaborate with engineers and product managers, contribute to technical decisions, and share knowledge.
Qualifications
- A relevant degree or equivalent practical experience.
- At least 5 years of experience developing backend services, infrastructure, or developer tools.
- Proficiency in Python, Go, or another relevant language, with a willingness to learn new technologies.
- Hands-on experience with Kubernetes, containers, and Linux.
- Understanding of distributed systems and infrastructure fundamentals, including compute, networking, and storage.
- Experience delivering and supporting reliable production software.
- Regular use of AI tools for design, coding, testing, and debugging, with careful evaluation of generated outputs for correctness, security, and maintainability.
- Ability to investigate problems, explain technical tradeoffs, and collaborate across teams.
Skills
Required:Backend service developmentPythonGoKubernetesDistributed systemsAI tooling for development
Nice to have:Open-source collaboration
Last updated Sep 25, 2026. Interested? Apply on the company site.
About NVIDIA
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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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