AI-Accelerated System Software Engineer (Finance)

We're looking for AI-accelerated programmers to help us engineer new paradigms in productivity infrastructure and platforms. If you feel one with the machine when you vibe-code while retaining a deep understanding of the fundamentals of programming, you can harness the power of AI Agents. 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, our team handles it all. We are modernizing the entire silicon engineering stack, and no prior experience in chip design is expected for this role. If you have a strong interest in building high-quality, long-lasting systems, you'll fit right in!

What you will be doing:

Design, develop and deliver core components of our next-generation engineer productivity platforms.

• Envision, build, deploy and improve highly scalable systems at the speed of thought
• Disambiguate high-level requirements into actionable Agentic AI tasks with clear vetting and ownership of output
• Jump between microservices and monoliths, on-prem and cloud-compute as needed to build efficient products
• Convert legacy codebases into modern powerhouses with parallelized AI migration
• Collaborate with engineering teams to identify and alleviate bottlenecks in their daily tasks
• Be adept and flexible to changing priorities and updating your codebases as business needs evolve

What we need to see:

Proficiency in thought-to-code and rapid understanding of existing or AI-generated code to debug and identify pathways to improve performance, resilience and observability.

• 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/complexity analyses
• Rich history of wrangling LLMs (GPT 4o through Claude Opus 4.x) to ship real software
• Deep, demonstrable intuition of the capabilities and pitfalls of LLM code generation ("vibe coding")
• Track record of shipping and supporting AI-generated code into enterprise engineering applications

Ways to stand out from the crowd:

Core system-engineering skills including 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 solve feature gaps quickly
• You've handled your own deployment and infrastructure on a cloud provider and on bare-metal servers
• Rapid problem decomposition and clear communication when delegating work to AI Agents

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until September 20, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.