Senior Platform Engineer, Design Automation

Job Title

Senior Platform Engineer, Design Automation

Role Summary

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. The team supports hundreds of thousands of design jobs per day across global datacenters and more than 1,000 designers.

The role spans distributed systems, developer tooling, workflow orchestration, data infrastructure, and semiconductor design methodology to modernize production services, improve reliability and usability, and turn execution data into actionable insights.

Experience Level

Senior — requires 12+ years of software engineering experience, including designing and operating distributed production systems.

Responsibilities

Primary responsibilities include building, operating, and improving platforms and tools for large-scale VLSI workflows.

• 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.

Requirements

Must-have technical skills and experience.

• 12+ years developing and operating distributed production systems.
• Proficient in Python and JavaScript/TypeScript; experience building backend services 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 cross-functional leadership skills.

Nice-to-have:

• 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.
• Experience with SQL/NoSQL databases, Kafka, Elasticsearch, Grafana, or similar platforms.

Education Requirements

Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.