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Common questions about this position
NVIDIA offers competitive salaries and a generous benefits package.
This information is not specified in the job description.
Candidates need an MS in Electrical or Computer Engineering, 4+ years of relevant experience, proven transistor-level circuit design, deep background in SRAM design/verification/characterization, and strong proficiency in scripting languages like Perl or Tcl. Additional requirements include expertise in SPICE simulation, ASIC design flows, and understanding of deep submicron process issues.
NVIDIA features a collaborative environment as part of the Digital IP Team, working with hard-working people to promote rapid growth, and emphasizes teamwork, communication, and tackling challenging opportunities.
A strong candidate will have an MS in Electrical or Computer Engineering with 4+ years of experience in transistor-level SRAM design, verification, and characterization, expertise in ASIC flows and SPICE simulations, and excellent teamwork and scripting skills.
Designs GPUs and AI computing solutions
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.