Senior System Software Engineer

Details

We’re looking for a systems-minded technical leader to orchestrate engineering efforts across platform, product, and operations. This role sits at the intersection of software engineering, DevOps, and technical program leadership — with an emphasis on engineering. You’ll work on a product integration team that pulls together infrastructure and software from a range of teams, making it function cohesively before handing off "recipes" to product teams to polish and ship. You’ll step into ambiguous problems, bring clarity and structure, and help ensure that what we build works reliably at scale. You won’t just patch broken pipelines or write glue code (though you might do both). You’ll guide architectural decisions, unblock deeply technical issues, and serve as a force multiplier across the organization.

Responsibilities

• Lead technical problem-solving across backend, DevOps, and infrastructure systems — especially in under-defined situations
• Integrate components from multiple teams into cohesive, functioning systems
• Build pragmatic tooling and processes to support deployment, monitoring, and operational reliability
• Collaborate with engineers and cross-functional partners to ensure integrated systems are supportable, debuggable, and production-ready
• Document and present complex systems and tradeoffs clearly to both technical and non-technical audiences
• Mentor and support teammates in developing scalable thinking and strong engineering instincts

Requirements

• 6+ years of proven experience using accelerated computing for datacenter / HPC solutions
• Programming and scripting experience with C, C++, Python, and Bash
• Deep experience in backend or infrastructure engineering, especially with complex, multi-team systems
• Strong debugging instincts and a methodical approach to untangling ambiguous problems
• Background in DevOps or deployment tooling, with an emphasis on reproducibility and automation
• Excellent written communication skills (docs, diagrams, decks)
• Ability to lead by doing — particularly when integrating systems no single team fully owns
• BS (or equivalent experience) in Engineering, Mathematics, Physics, or Computer Science. MS or PhD desirable

Ways to stand out

• Deep Learning framework skills (a plus)
• Exposure to virtualization techniques and cloud platform solutions
• Exposure to container technology and Linux performance tools

Compensation & Benefits

• Base salary ranges by level:
  • Level 4: 184,000 USD - 287,500 USD
  • Level 5: 224,000 USD - 356,500 USD
• Eligible for equity and benefits (see company benefits link)

Additional details

• Employer: NVIDIA
• Applications accepted at least until August 19, 2025
• NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.