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, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify 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 design engineers to be part of a team working on industry-leading GPUs and SOCs. This position offers the opportunity 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'll be doing:
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In this position, you will expected to lead all block/chip level PD activities.
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PD activities includes floor plans, abstract view generation, RC extraction, PNR, STA, EM,IR DROP, DRCs & schematic to layout verification. Work in collaboration with design team for addressing design challenges.
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Help team members in debugging tool/design related issues.
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Constantly look for improvement in RTL2GDS flow to improve PPA. Troubleshoots a wide variety up to and including difficult design issues and applied proactive intervention.
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Responsible for all aspects of physical design and implementation of GPU and other ASICs targeted at the desktop, laptop, workstation, and mobile markets.
What we need to see:
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BE/BTECH/MTECH, or equivalent experience.
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4+ years of experience in Physical Design.
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Strong understanding in the RTL2GDSII flow or design implementation in leading process technologies. Good understanding of the RTL2GDSII concepts related to synthesis, place & route, CTS, timing convergence, layout closure.
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Expertise on high frequency design methodologies. Good knowledge and experience in Block-level and Full-chip Floor-planning and Physical verification. Working experience with tools like ICC2/Innovus, Primetime/Tempus etc used in the RTL2GDSII implementation.
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Strong knowledge and experience in standard place and route flows ICC2/Synopsys and Innovus/Cadence flows preferred. Well versed with timing constraints, STA and timing closure.
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Good automation skills in PERL, TCL, tool specific scripting on one of the industry leading Place & Route tools.
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Ability to multi-task and flexibility to work in global environment.
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Good communication skills and strong motivation, Strong analytical & Problem solving skills. Proficiency using Perl, Tcl, Make scripting is preferred.
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 to you and your family www.nvidiabenefits.com/NVIDIA is committed to encouraging a diverse 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. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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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.”
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