NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, creating demand for the highly scalable and massively parallel computing capabilities in which NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities—challenges that are difficult to solve, that only we can address, and that matter to the world. This is our life’s work: amplifying human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!
NVIDIA is seeking passionate, highly motivated, and creative engineers to join our Physical Design AI team. In this role, you will combine deep physical design knowledge with modern AI technologies to build intelligent, scalable solutions for our Physical Design Implementation teams. You will work closely with domain experts to understand complex implementation challenges and develop agentic AI solutions that improve productivity, efficiency, and quality across NVIDIA product lines. This position offers the opportunity to make a real impact in a dynamic, technology-focused company whose products span consumer graphics, accelerated computing, self-driving cars, and the rapidly growing field of artificial intelligence. We have built a team of exceptional people across the globe whose mission is to push the boundaries of what is possible today and define the platform for the future of computing.
What you’ll be doing:
- Work with Physical Design Implementation teams to understand complex problems and build agentic AI solutions for all product lines.
- Deliver efficient, token-optimized AI solutions that consistently produce high-quality outputs.
- Provide continuous support, maintenance, and enhancements for AI solutions.
- Benchmark solutions across various AI models to evaluate and improve their effectiveness.
- Research and innovate new AI methods to address evolving physical design challenges.
- Build robust regression testbenches to validate the quality, reliability, and performance of AI solutions.
What we need to see:
- 4+ years of experience in Physical Design with BE/BTech/MTech degree, or equivalent experience.
- Strong understanding of the RTL-to-GDSII flow and design implementation in leading process technologies, including synthesis, place and route, clock tree synthesis, timing convergence, and layout closure.Good understanding of AI concepts such as tokens, KV cache, context windows, skills, agents, subagents, and hooks.
- Hands-on experience with AI tools such as Claude, Codex, and Cursor. Strong knowledge and experience in standard place-and-route flows. Experience with Synopsys ICC2 and Cadence Innovus flows is preferred.
- Good automation skills in Tcl, Python, and tool-specific scripting for one or more industry-leading place-and-route tools.
- Ability to multitask and work effectively in a global environment. Excellent communication skills, strong motivation, and strong analytical and problem-solving abilities.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer you and your family at NVIDIA Benefits.
NVIDIA is committed to encouraging a diverse work environment and is proud to be an equal opportunity employer. As we highly value diversity among 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. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation.
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Skills Required
- 4+ years of experience in physical design
- BE, BTech, or MTech degree, or equivalent experience
- Strong understanding of RTL-to-GDSII implementation flows, including synthesis, place and route, clock tree synthesis, timing convergence, and layout closure
- Understanding of AI concepts including tokens, KV cache, context windows, skills, agents, subagents, and hooks
- Hands-on experience with AI tools such as Claude, Codex, and Cursor
- Strong knowledge and experience with standard place-and-route flows
- Automation skills in Tcl, Python, and tool-specific scripting
- Ability to multitask and work effectively in a global environment
- Excellent communication, analytical, and problem-solving skills
- Experience with Synopsys ICC2 and Cadence Innovus flows
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.”
