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.
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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. 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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Skills Required
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
- 12+ years of software engineering experience
- Experience designing and operating distributed production systems
- Strong Python development skills
- Strong JavaScript or 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
- Strong technical communication and multifunctional leadership skills
- Experience with EDA, VLSI, physical design, static timing analysis, or RTL-to-GDS workflows
- Experience with Temporal, Airflow, Argo, Jenkins, or similar orchestration platforms
- Experience with Docker, Kubernetes, HPC schedulers, or large compute farms
- Background with SQL or NoSQL databases, Kafka, Elasticsearch, Grafana, or similar platforms
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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