Senior Design Researcher
Design and optimize GPU and SoC floorplans during early chip development, working with architecture and physical design teams to solve timing and routing issues. You'll drive area reviews, build optimization tools, and improve design infrastructure. This role requires a master's degree in electrical engineering or related field with deep VLSI and computer architecture background, proficiency in Verilog or SystemVerilog, and experience with CAD tools, P&R, and physical design methodologies. Python, Perl, and C/C++ skills are needed. Salary ranges from $116,000 to $189,750 for Level 2 or $136,000 to $218,500 for Level 3, depending on location and experience.
Written from this posting by Neural Jobs AI. The full description is below.
We are now looking for a ASIC Floorplan Design Engineer - New College Graduate.
NVIDIA is seeking a talented ASIC Floorplan Engineer to design and implement the world’s leading SoC's and GPU's. This position offers you a unique opportunity to craft and to influence the design and development of the next generation GPU and SoC, allowing you to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of exceptional people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.
What you will be doing:
Working with architects, design leads, physical design leads and package leads, you will develop and to craft and optimize floorplans during early chip development.
Drive the area review process and collaborate with the ASIC design team to identify area, interconnect and floorplan improvement opportunities
Solve timing and routing congestion issues with physical and ASIC design teams by influencing early design and physical implementation decisions.
You will build tools and improve existing infrastructure to optimize chip area and speed of execution.
What we need to see:
Masters Degree in Electrical Engineering, Computer Science, or Computer Engineering or equivalent experience.
A deep hardware engineering background with a concentration in VLSI and/or Computer Architecture.
Experience in Verilog, System Verilog or similar HVL
Experience with CAD and physical design methodologies (flow and tool development), chip floorplan, power/clock distribution, packaging, P&R and timing closure.
Strong communication and interpersonal skills and ability & desire to work as a great teammate should be displayed in your interview.
Python, Perl and C/C++ programming language experience
Ways to stand out from the crowd:
Experience in driving development of large scale ASIC floorplan is a huge plus.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, Autonomous Driving, High-Performance Computing and Visualization. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the fastest and most power efficient chips in their class? If so, 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 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.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.Sign in and we will show how your role, experience, salary and location line up against what this employer asked for.
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
203K – 261K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 136 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
United States
Right to work in the United States required.On-site
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