Senior Physical Design AI Engineer
At a glance
Senior AI Engineering role at NVIDIA. India, Bengaluru · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Work with physical design teams to turn implementation challenges into agentic AI solutions across product lines
- Build AI systems that use tokens efficiently while delivering consistently strong outputs
- Maintain and improve deployed AI solutions, and compare models to find ways to strengthen them
- Research new AI approaches for physical design and build regression testbenches to check solution quality and reliability
What you bring
- At least four years in physical design, plus a BE, BTech, MTech or equivalent experience
- You understand RTL-to-GDSII implementation, including synthesis, placement and routing, clock-tree synthesis, timing convergence and layout closure
- You know AI concepts such as agents, context windows and KV cache, and have used tools such as Claude, Codex or Cursor
- You can automate place-and-route work with Tcl, Python or tool-specific scripting
Who this fits
This suits a senior engineer who can bring physical design expertise together with practical AI development. You’ll work across teams in a global environment and need to communicate clearly while handling multiple tasks.
From the employer
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.