GPU Core Pipeline IP Verification Engineer

NVIDIA

2+ yrs Bengaluru Full Time Hybrid (office + remote)
NVIDIA logo
Posted : today
Actively hiring

Job description

Join NVIDIA as a Verification Engineer and contribute to the cutting-edge control subsystems for next-generation GPUs. This role offers a unique opportunity to impact product lines spanning consumer graphics, autonomous vehicles, and artificial intelligence. Become part of a global team dedicated to pushing the boundaries of computing and shaping the future of AI.

NVIDIA's GPUs have evolved from rendering virtual worlds to simulating human intelligence. Today, they power deep learning algorithms, driving innovation in computers, robotics, and self-driving cars. We are recognized as the leading AI computing company, transforming how complex problems are solved through parallel and visual computing.

Responsibilities

As an integral member of our ASIC Verification team, you will be responsible for verifying graphics and compute features within an IP. This includes IP-level verification of GPU ASICs, encompassing design, architecture, golden models, and micro-architecture using advanced verification tools and methodologies.

You will develop comprehensive test plans, create tests, and build verification infrastructure using the UVM methodology. Ensuring functional and code coverage for all verified RTL is a key aspect of this role. Collaboration with HW architects, designers, and fellow verification engineers is essential for successful implementation choices and task completion.

Qualifications

We are looking for candidates with a B.Tech./M.Tech. degree and a minimum of 2 years of relevant experience. Proficiency in Verilog, C++, and OOPs concepts is required. Familiarity with unit-level verification and test planning, along with experience in developing functional coverage-based constrained random verification environments, is essential.

A solid understanding of computer architecture concepts, coupled with strong analytical and problem-solving skills, is necessary. While knowledge of SystemVerilog or similar HVLs and methodologies like UVM/VMM is highly desirable, exposure to industry-standard simulation and debug tools is also beneficial.

Stand out with prior experience in 3D graphics processing or processor verification, C/C++ programming, and scripting with Perl and Python. Excellent debugging, interpersonal, and communication skills, along with a collaborative team spirit, are highly valued.

Essential Skills

VerilogC++OOPs ConceptsComputer ArchitectureAnalytical SkillsProblem-Solving Skills

Good to Have

SystemVerilogUVMVMM3D Graphics ProcessingProcessor VerificationPerlPythonDebuggingInterpersonal SkillsCommunication Skills

Highlights

  • Actively hiring

More Details

RoleGPU Core Pipeline IP Verification Engineer
IndustrySemiconductors, AI / Machine Learning, Gaming
DepartmentHardware Engineering, Verification Engineering, ASIC Design
Employment TypeFull Time, Hybrid (office + remote)

About the Company

Nvidia logo

Nvidia

Semiconductors

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