Staff Platform Engineer, Design Automation

NVIDIA•Santa Clara, CA

1d•$196,000 - $368,000

About The Position

We are now looking for a Senior Platform Engineer, Design Automation. You will join a small team that builds and operates the software platform used by NVIDIA chip-design teams to launch, monitor, debug, and improve large-scale semiconductor design workflows. Our systems coordinate hundreds of thousands of design jobs per day across global datacenters, supporting more than 1,000 designers working on GPU, CPU, SoC, and networking products. This role sits at the intersection of distributed systems, developer tooling, workflow orchestration, data infrastructure, and semiconductor design methodology. You will help modernize critical production services, improve the reliability and usability of design-flow infrastructure, and turn design execution data into actionable insights for engineering teams.

Requirements

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
12+ years of software engineering experience, including the design and operation of distributed production systems.
Strong Python and JavaScript/TypeScript development skills, with experience building backend services, APIs, and modern web applications.
Hands-on experience building applied-AI solutions using LLMs, RAG, agents, or related technologies.
Strong understanding of system design, databases, reliability, observability, CI/CD, and Linux operations.
Strong technical communication and multi-functional leadership skills.

Nice To Haves

Experience with EDA, VLSI, physical design, static timing analysis, or RTL-to-GDS workflows.
Background with Temporal, Airflow, Argo, Jenkins, or similar orchestration platforms.
Experience with Docker, Kubernetes, HPC schedulers, or large compute farms.
Background with SQL/NoSQL databases, Kafka, Elasticsearch, Grafana, or similar platforms.

Responsibilities

Architect, build and operate AI-enabled platforms for large-scale VLSI workflows.
Develop reliable backend services, APIs, data models, event-driven systems, and workflow orchestration.
Create intuitive web applications for launching, monitoring, debugging, and analyzing design jobs.
Apply LLMs, RAG, agents, and automation to accelerate debugging, recommendations, and operational support.
Build telemetry, analytics, and dashboards for workflow health, performance, and quality of results.
Collaborate with EDA, design methodology, and infrastructure teams to improve productivity and tapeout reliability.