NVIDIA—Formal Verification Engineer

Job description

Description: 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