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Senior CAD Engineer

Karnataka, India (On-site)

Senior CAD Engineer

4 Months ago • 5-10 Years • Research & Development • Undisclosed

About the job

4 skills required for this role

Add these skills to join the top 1% applicants for this job

cpp

algorithms

data-visualization

python

Job Description

NVIDIA seeks a Senior CAD Engineer to drive design closure for GPUs and SoCs. 5+ years experience in backend design process, especially static timing analysis and early physical design, is required. Expertise in C++ and/or Python, strong communication skills are essential.

Must have:

Backend Design
Static Timing
Physical Design
C++/Python

Good to have:

Software Design
Physical Optimization
Data Visualization
GUI Experience

Perks:

Leading Technology
Global Team

About the job

NVIDIA is seeking an innovative Senior CAD Engineer to help drive efficiency in design closure for the world's leading GPUs and SoCs with particular emphasis on large scale VLSI optimization, automation, and visualization. This position offers you an outstanding opportunity to influence productivity in implementing next generation GPU, CPU, and SoC designs, allowing you to have real impact in a multifaceted, technology-focused company with product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of highly motivated engineers 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. Together, we will build sophisticated tools that can demystify the most complex issues faced in backend design of chips for extreme computing in the latest process nodes.

What You Will Be Doing

Partnering closely with physical design and timing closure designers to understand and optimize hardware design performance and engineering productivity in a broad range of domains across RTL analysis, floorplanning, clocking, constraints, timing and power optimization, and final signoff.

Inventing high performance C++ and Python software that can automatically pinpoint VLSI concerns and opportunities early in the physical design process and integrating it with flexible automation to maximize designer efficiency.

Researching and innovating scalable methods for VLSI data gathering coupled with intuitive analysis and visualization tailormade to enable NVIDIA's leading performance, power, area, schedule, and yield targets.

In general, developing algorithms, tools, and methodologies to predict and improve performance and reliability beyond what industry standard tools can offer alone.

What We Need To See

Master’s Degree in Electrical Engineering, Computer Engineering, or equivalent work experience

5+ years of relevant work experience

Deep understanding of backend design process, especially static timing analysis and early physical design, such as floorplanning.

Expertise in coding -- preferably in C++ and/or Python

Strong communication and interpersonal skills

Ways To Stand Out From The Crowd

Mix of both software and hardware design experience.

Experience in physical design optimization and automation algorithms.

Experience with data visualization and GUIs is helpful.

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!

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About The Company

NVIDIA

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Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.