AI-Accelerated System Software Engineer

Details

We are looking for AI-accelerated programmers to help engineer new paradigms in productivity infrastructure and platforms. The VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building tools and platforms that supercharge their everyday work — from workflow automation to machine learning, ETL pipelines, and web applications. No prior chip design experience is required. If you have a strong interest in building high-quality, long-lasting systems and can harness AI Agents to boost engineering productivity, you will fit in well.

Responsibilities

• Design, develop and deliver core components of next-generation engineer productivity platforms.
• Envision, build, deploy and improve highly scalable systems.
• Disambiguate high-level requirements into actionable Agentic AI tasks with clear vetting and ownership of output.
• Work across microservices and monoliths, on-prem and cloud compute as needed to build efficient products.
• Convert legacy codebases into modern systems with parallelized AI-assisted migration.
• Collaborate with engineering teams to identify and alleviate bottlenecks in their daily tasks.
• Maintain flexibility to changing priorities and update codebases as business needs evolve.

Requirements

• M.S. in EE/CS or equivalent experience.
• Minimum 5 years developing large-scale software applications in an enterprise engineering environment using Python.
• Internalized computer science fundamentals in algorithms, data structures and complexity analysis.
• Rich history of working with LLMs (explicitly mentions GPT 4o and Claude Opus 4.x) to ship real software.
• Demonstrable intuition for the capabilities and pitfalls of LLM code generation and AI-assisted coding workflows.
• Track record of shipping and supporting AI-generated code into enterprise engineering applications.
• Proficiency in quickly understanding existing or AI-generated code to debug and improve performance, resilience and observability.

Ways to stand out

• Strong system-engineering skills with the ability to visualize strongly-coupled systems from architecture down to OS and compute.
• Solid fundamentals of UNIX internals, filesystems, job-scheduling, processes, synchronization and locks.
• Experience with Perforce, NFS, LSF and running services on managed infrastructure without root/sudo.
• Experience building maintainable software using off-the-shelf tools and open-source libraries to close feature gaps quickly.
• Experience handling deployments and infrastructure on cloud providers and on bare-metal servers.
• Rapid problem decomposition and clear communication when delegating work to AI Agents.

Benefits

• Competitive base salary (see ranges below), eligibility for equity and company benefits.

Compensation

• Base salary ranges provided by level:
  • Level 4: 184,000 USD - 287,500 USD
  • Level 5: 224,000 USD - 356,500 USD

Other information

• Location: Santa Clara, California, United States.
• Time type: Full time.
• Applications accepted at least until September 20, 2025.
• NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.