What you'll be doing
Designing and supporting mechanisms for coordinating and maintaining large-scale semiconductor design tasks across multiple global datacenters.
Owning the architecture of one or more platform components — defining interfaces, data models, and service boundaries that can scale and evolve.
Leading the modernization of legacy services — evaluating existing Perl and Python backends, proposing migration strategies, and driving execution with the team.
Debugging and improving production services spanning web browsers, containerized microservices, and bare-metal Linux hosts.
Building and improving web interfaces to configure, launch, and analyze EDA tools and design flows.
Mining and analyzing large datasets of job execution telemetry and tool quality-of-results data to improve flows and catch regressions.
Mentoring junior engineers and contributing to design reviews and technical standards across the team.
Helping invent next-generation semiconductor design methodology.
Optionally, contributing directly to the physical design of GPU, CPU, SoC, and networking products — a rare opportunity for an infrastructure engineer.
What we want to see
Bachelor's or master's degree in computer science or computer systems engineering (or equivalent experience).
5+ years of software engineering experience, with a track record of designing and delivering production systems.
Strong software architecture and design skills — experience defining service boundaries, APIs, data models, and system interfaces.
Proficiency in Python and/or Perl; comfort with JavaScript and web technologies.
Experience with distributed systems at meaningful scale.
Proven ability to lead a project through its full lifecycle, from requirement solicitation to architecture design, to implementation, to maintenance and support.
Comfort owning and debugging Linux-based production services.
Ways to stand out from the crowd
Experience with workflow orchestration systems (Airflow, Argo, Temporal, Luigi, or similar).
Experience with containerization technologies such as Docker or Kubernetes.
Familiarity with Elasticsearch / Kibana / Vega for telemetry and dashboarding.
Experience with MSSQL/Mysql/SQLite or other relational and NoSQL datastores.
Exposure to Static Timing Analysis or VLSI physical design.
NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're an engineer who thinks in systems, takes pride in designing things that last, and wants to see the silicon your work helps produce — we want to hear from you.
#LI-Hybrid
