Table of Contents
CPU Verification Engineer Job Description
| Company | NVIDIA |
| Industry | IT |
| Job Title | CPU Verification Engineer |
| Qualification | Bachelor’s / Master’s in IT or Engineering |
| Experience | 2 Year |
| Location | Bangalore |
CPU Verification Engineer Responsibilities
- Contribute to the development of NVIDIA’s upcoming CPU by engaging in verification tasks.
- Verify micro-architecture and architecture features at various levels, including unit, subsystem, and full chip testbenches, encompassing both FPGA and silicon environments.
- Collaborate closely with CPU architects and designers to ensure the creation of verifiable designs.
- Foster global collaboration by interacting with teams worldwide, offering verification solutions and insights.
Requirements
- Hold a Bachelors/Masters or possess equivalent experience in Computer Science or Electrical Engineering from a reputable engineering college.
- Accumulate a minimum of 2 years of industry experience.
- Demonstrate expertise in full stack development, encompassing verification sequences from the software simulator level to achieving end-to-end functionality on silicon with a complete software stack.
- Showcase experience in UVM/SV based testbench development.
- Exhibit strong verification fundamentals, balancing work on full chip testbenches and FPGA/silicon environments.
- Possess proficiency in CPU architecture (with a preference for ARM knowledge), Verilog, SystemVerilog, and robust debugging skills.
- Demonstrate hands-on experience in CPU unit/microarchitecture verification.
- Have a track record of working on complex, coverage-driven verification projects.
- Showcase experience collaborating with geographically diverse cross-functional teams.
About Company
NVIDIA Corporation stands at the forefront of the global technology landscape, renowned for its pioneering contributions to graphics processing units (GPUs) and artificial intelligence (AI). Founded in 1993, NVIDIA has evolved into a leading semiconductor company, driving innovation in high-performance computing, gaming, and professional visualization. The company’s GPUs are integral to cutting-edge technologies, powering graphics-intensive applications, scientific research, and machine learning. NVIDIA’s commitment to advancing GPU capabilities has positioned it as a key player in the development of autonomous vehicles, data centers, and AI applications. With a focus on pushing technological boundaries, NVIDIA continues to shape the future of computing and redefine what is possible in the realms of graphics and AI.
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