Senior Platform Engineer, Design Automation

Job Title

Senior Platform Engineer, Design Automation

Role Summary

Join a small platform team that builds and operates software used by NVIDIA chip-design teams to launch, monitor, debug, and improve large-scale semiconductor design workflows. Systems support hundreds of thousands of design jobs per day and over 1,000 designers across GPU, CPU, SoC, and networking products.

This role combines distributed systems, developer tooling, workflow orchestration, data infrastructure, and applied AI to modernize production services, improve reliability and usability of design-flow infrastructure, and produce actionable execution insights.

Experience Level

Senior level. The posting requests 12+ years of software engineering experience designing and operating distributed production systems.

Responsibilities

The platform engineer will design, build, and operate systems and tools for large-scale VLSI workflows and their observability.

• Architect, build, and operate AI-enabled platforms for large-scale semiconductor design workflows.
• Develop reliable backend services, APIs, data models, event-driven systems, and workflow orchestration.
• Create web applications for launching, monitoring, debugging, and analyzing design jobs.
• Apply LLMs, RAG, agents, and automation to accelerate debugging, provide recommendations, and support operations.
• 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 experience and skills.

• 12+ years of software engineering experience, including design and operation of distributed production systems.
• Strong Python and JavaScript/TypeScript development skills; 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.
• Proven technical communication and multi-functional leadership skills.

Nice-to-have:

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