Verification Engineer - GPU Fullchip
NVIDIA
NVIDIA
Join NVIDIA, a company at the forefront of technological innovation, where we are shaping the future of AI and parallel computing with our groundbreaking GPUs.
Our GPUs, initially powering virtual worlds in gaming and film, now simulate human intelligence, driving advancements in deep learning, robotics, and autonomous vehicles. Become part of a diverse and supportive environment dedicated to amplifying human creativity and intelligence.
NVIDIA is a 'learning machine,' constantly adapting to solve challenging problems that matter to the world. As an NVIDIAN, you'll be immersed in an inspiring atmosphere where your contributions create a lasting impact.
As an integral part of our ASIC Verification team, you will be responsible for the comprehensive verification of our industry-leading GPU designs at the full-chip level.
This involves verifying the ASIC design, architecture, golden models, and micro-architecture using sophisticated verification tools and methodologies.
You will construct reusable bus functional models, traffic generators, monitors, checkers, and scoreboards, adhering to coverage-driven verification principles.
Your role will require a deep understanding of the design and implementation, enabling you to define verification scope, develop the necessary infrastructure, and ensure the design's correctness. Collaboration with architects, designers, and pre/post-silicon verification teams will be key to successfully accomplishing these tasks.
We are seeking candidates with a B.Tech./M.Tech or equivalent experience, possessing at least two years of relevant professional experience.
Essential skills include proficiency in Verilog and C, a solid understanding of Object-Oriented Programming (OOPs) concepts, and hands-on experience in verification at the Unit, Sub-system, or SOC level.
A strong grasp of computer architecture concepts, coupled with exceptional analytical and problem-solving abilities, is crucial.
While not mandatory, familiarity with SystemVerilog or similar High-Level Verification Languages (HVLs), experience with verification methodologies such as UVM/VMM, and exposure to industry-standard simulation and debug tools are highly advantageous.
Additional strengths include prior experience in 3D graphics processing or processor verification, C/C++ programming, scripting with Perl and Python, excellent debugging skills, and strong interpersonal and communication abilities, demonstrating a desire to be a collaborative team player.
Nvidia
Semiconductors