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System Software Engineer, AI Data Platform

2 Locations💼 Full-time🗓 2026-07-09 → 2026-08-01

Core

Design, build, and improve scalable automation systems for the development, validation, and deployment of core software across cloud and on-premises environments.

Role type

System Software Engineer (Infrastructure & Automation)

Builds

Infrastructure and tools for software build, test, and deployment workflows; performance measurement and benchmarking systems.

Domain

High-performance computing, AI infrastructure, distributed systems

Deliverable

infrastructure

Required skills

C++, Python, Go, distributed systems, automation frameworks, CI/CD pipelines, system performance analysis, debugging

Preferred skills

AI/ML systems, data-intensive workloads, cloud/on-prem infrastructure, container technologies (Docker, Kubernetes), performance profiling tools

Responsibilities

Develop and maintain infrastructure tools for automated software workflows; Build and improve performance measurement systems; Analyze system performance and logs to identify issues; Participate in design discussions for platform automation.

Seniority

Mid-level, hands-on IC

Rewrite
## Responsibilities - Develop and maintain infrastructure and tools that automate software build, test, and deployment workflows. - Build and improve performance measurement and benchmarking systems for large-scale software and hardware platforms. - Collaborate with engineering teams to understand requirements and deliver reliable, scalable solutions. - Analyze system performance and logs to identify issues and contribute to continuous improvements. - Participate in design discussions and help improve platform automation and engineering efficiency. ## Requirements - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field, or equivalent experience. - At least 2+ years of software engineering experience in infrastructure, backend systems, distributed systems, or automation. - Strong programming skills in at least one of: C++, Python, Go, or similar languages. - Experience working with software systems, automation frameworks, or CI/CD pipelines. - Strong problem-solving and debugging skills. - Good communication skills and ability to work effectively in a team. ## Nice to Have - Exposure to AI/ML systems or data-intensive workloads. - Experience with cloud or on-prem infrastructure environments. - Familiarity with container technologies such as Docker and Kubernetes. - Experience with performance analysis or profiling tools. - Interest in building scalable systems and improving engineering efficiency. ## Benefits Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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