System Software Engineer, AI Data Platform

• 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.

• 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.

Ways To Stand Out From The Crowd

• 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.

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