Senior System Software Engineer - AI Data Platform - Inference Factory Optimization, Senior System Software Engineer - AI Data Platform - Inference Factory Optimization

Company: NVIDIA

Location: Location not specified (Remote)

Type: Full-time

Level: lead

Remote: Yes

Posted: 2026-02-21

About this role

Our team is building the foundational infrastructure that powers NVIDIA's cutting-edge innovations in AI and high-performance computing. We are seeking a Senior Software Engineer to design, build, and optimize highly scalable and reliable automation systems that ensure the peak performance and seamless deployment of our core software offerings across a diverse ecosystem. This is an opportunity to directly impact how AI models and complex applications are validated, tuned, and delivered globally, from cloud environments to on-premises data centers and specialized hardware.


What you’ll be doing

  • Develop efficient infrastructure and tools for automating complex software processes.
  • Drive Performance Optimization: Implement advanced test harnesses, benchmarking frameworks, and analytical tools to rigorously characterize and optimize the performance and efficiency of our software and hardware platforms.
  • Apply deep knowledge of operating systems, kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to build and troubleshoot highly performant systems.
  • Work with engineering teams to understand needs, define requirements, and deliver efficient solutions.
  • Set performance goals, monitor feedback, analyze data, and make continuous improvements for system reliability.
  • Influence Technical Strategy: Contribute to defining technical strategies and roadmaps for our platform automation initiatives, ensuring alignment with company-wide goals and standard methodologies.

What we need to see

  • Bachelor's or equivalent experience in Computer Science, Computer Engineering, or a related technical field, or Master's degree or equivalent experience in a similar field.
  • 5+ years of industry experience in software development, focusing on infrastructure, distributed systems, automation, and/or performance engineering.
  • Expertise in System-Level Programming: Proven ability to develop robust tools and automation us...

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