Formal Verification Engineer
NVIDIA
Formal Verification Engineer
NVIDIA
Designs the chips and software that power AI
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!
We need passionate, hard-working, and creative people to help us take on some of these once-in-a-lifetime opportunities. This position offers the opportunity to have real impact in a progressive, 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 outstanding 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. NVIDIA is seeking Formal Verification Engineers for our Hardware Engineering team.
What you’ll be doing:
Prove correctness of design blocks, IPs and SoC components using Formal Verification methods
Prepare testplans and implement them using Formal verification techniques
Experiment with Formal tools and flows to drive performance and quality of results
Collaborate with other members of the design and verification teams to successfully meet verification goals
What we need to see:
B.Tech. / M.Tech. in Electrical Engineering, Computer Science or related fields with 2+ years of relevant experience
Strong analytical skills to tackle complex problems
Strong coding skills in industry-standard scripting or programming languages such as C, Python, Perl or Tcl
Ability to communicate effectively and collaborate in a globally distributed team
#LI-Hybrid
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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