Senior PCIe Design Verification Engineer

Responsibilities

• Verification of the ASIC design, architecture, and micro-architecture of PCIE controllers for multiple product generations for GPUs, SOCs & DPUsat IP/sub-system levels using standard verification methodologies such as UVM and Specman/e.
• Develop UVM or Specman/e based testbench components reusable across verification methodologies and integrate those across verification environments.
• Build or improve reusable testbench components including constraints, stimulus, monitors, checkers and scoreboards following coverage based verification methodology.
• Collaborate with multiple verification teams, architects, designers, and pre and post silicon verification teams to accomplish your tasks.
• What we need to see:
• Bachelors or Masters degree with 5+ years of experience in Unit/Sub-system/SOC level verification
• Proficiency in SystemVerilog
• Expertise in comprehensive verification of industry standard IP or interconnect protocols (e.g. PCI Express, CXL, UCIe, USB, SATA)
• Experience in developing and working in functional coverage based constrained random verification environments
• Skillful in verification methodologies like UVM, Specman/e, as well as re-usable testbench architecture and its development
• Exposure to industry standard verification tools for simulation and debug
• Ways to stand out from the crowd:
• Familiarity with both UVM and Specman/e based verification methodologies
• Good knowledge of PCIE protocol - Gen3 and above
• Great debugging and analytical skills
• Excellent interpersonal skills & dream to work as a great teammate
• #LI-Hybrid

Additional Information

NVIDIA is seeking elite Senior Verification Engineers to verify the design and implementation of the next generation of PCI Express controllers for the world's leading GPUs and SOCs by developing scalable testbench that is re-usable across different verification methodologies and environments. 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. The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as "the AI computing company."

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Company Intel

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