Senior Platform Engineer, Design Automation

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. 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. What you’ll be doing 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. What we need to see 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. Ways to stand out from the crowd 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. The base salary range is 196,000 USD - 310,500 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 22, 2026. This posting is for an existing vacancy. NVIDIA is committed to fostering an inclusive 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA. #J-18808-Ljbffr NVIDIA Corporation