Senior Software R&D Engineer, VLSI Physical Design

NVIDIA•Austin, TX

About The Position

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 looking for a creative and passionate Senior Software R&D Engineer specializing in VLSI Physical Design. This role focuses on algorithms for placement, global routing, floorplanning, and optimizing physical design. You'll work on everything from computational geometry and placement to graph optimization and visualization. The software and tools you create will directly impact our ability to deliver next-generation architecture to the market. You'll be responsible for the logic that determines the physical layout, speed, and efficiency of the world's most advanced AI chips. Your algorithms won't just operate on hardware; they'll define it. If you enjoy solving challenging problems and seeing your work come to life in the fastest AI hardware, this is the perfect role for you!

Requirements

BS, MS, PhD or equivalent experience in Electrical Engineering or Computer Science
Strength in both CAD software and VLSI hardware design
6+ years experience in software development with C++
Good understanding of computational geometry, placement, routing and graph theory
Familiarity with design implementation tools such as ICC2, Innovus
Expertise in algorithm development for physical design, analysis, and visualization
Strong communication and interpersonal skills

Nice To Haves

C++17/C++14 experience, such as lambdas and concurrency
Deep understanding of algorithm design principles such as computational geometry, placement etc.
Experience in high performance software design including multithreading, distributed computing, efficient memory and I/O use, etc.
Highly driven to craft outstanding software towards improving PPA with a dedication to continuous improvement
A tenacity for solving complex optimization challenges

Responsibilities

Implement, enhance, optimize, and deploy new tools for chip level placement, reshaping and route optimization.
Create innovative algorithms for computational geometry, placement, fast routing etc. to efficiently arrange the blocks in a chip.
Develop and implement new machine learning strategies to improve efficiency of design space exploration.
Improve designer insight, debugging and visualization by extending GUIs built.