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NVIDIA

Designs the chips and software that power AI

Verification Engineer - Performance

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • Master's or Bachelor's degree in Electrical Engineering, Computer Science, or equivalent experience
  • 3+ years of experience preferably in the areas of CPU / System on Chip Performance Verification and Analysis
  • Strong understanding of computer system architecture and operating system fundamentals
  • Hands-on experience with Hardware Description Languages such as Verilog / System Verilog
  • Knowledge of verification methodologies and tools for IP and SoC level verification
  • Experience with System Verilog, C/C++, Python languages and relevant frameworks
  • Background with debug on Silicon

Responsibilities

  • Responsibilities will include development of test plans and strategies, develop simulation environments, system bring-up, validation, and automation to deliver best-in-class CPUs.
  • Develop and maintain CPU simulator infrastructure, hardware CPU test and performance infrastructure.
  • Analyze and validate CPU and fabric performance, helping to understand current, and guide the development of future CPU products.
  • Definition and development of tool chain and workflows that enables the full system performance alignment.
  • Silicon based competitive analysis of NVIDIA CPUs.

Desired Qualifications

  • Detailed knowledge of the ARM and/or x-86 architecture.
  • Prior experience with performance analysis of CPUs.
  • Experience with analysis and characterization of CPU workloads.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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