AI-Accelerated System Software Engineer

at Nvidia
📍 Santa Clara, United States
USD 184,000-356,500 per year
MIDDLE SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 5 ETL @ 3 Algorithms @ 3 Data Structures @ 3 Machine Learning @ 3 Communication @ 3 Microservices @ 3 LLM @ 3

Details

We are looking for engineers who can harness AI Agents to build 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, and ETL pipelines to web applications, the team handles end-to-end systems. No prior chip-design experience is expected for this role. If you enjoy building high-quality, long-lasting systems and can move quickly from thought-to-code (including leveraging AI-generated code), you will fit right in.

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 using parallelized AI-driven migration techniques.
  • Collaborate with engineering teams to identify and alleviate bottlenecks in their daily tasks.
  • Adapt 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.
  • Proven experience working with and wrangling large language models (examples named: GPT-4o and Claude Opus 4.x) to ship real software.
  • Deep, demonstrable intuition of the capabilities and pitfalls of LLM code generation (referred to in the posting as "vibe coding").
  • Track record of shipping and supporting AI-generated code into enterprise engineering applications.

Ways to stand out

  • Core system-engineering skills including the ability to visualize strongly-coupled systems from architecture down to OS and compute.
  • Strong 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 solve feature gaps quickly.
  • Experience with deployment 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 Compensation section below).
  • Eligibility for equity and additional benefits (employer benefits link provided in original posting).
  • Inclusive equal-opportunity employer with a diverse work environment.

Compensation & Application

  • Base salary range for Level 4: 184,000 USD - 287,500 USD.
  • Base salary range for Level 5: 224,000 USD - 356,500 USD.
  • You will also be eligible for equity and benefits.
  • Applications accepted at least until September 20, 2025.

Additional Notes

  • Team: VLSI Productivity and Infrastructure.
  • No prior chip-design experience required.
  • Location listed as Santa Clara, CA, United States.
  • Employment type: Full time.