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ASIC Design Engineer - Performance Monitoring

NVIDIA · Posted Oct 12

Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions

India, BengaluruFull-timeHybridMid Level3+ years₹25.0L–₹45.0L yearly<25 applicants
SemiconductorsArtificial IntelligenceComputer HardwareCloud ComputingPublic Company
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About the role

NVIDIA's System-On-Chip (SOC) group designs the chips behind the industry's leading GPUs and SOCs, packing tens of billions of transistors per chip to meet growing computing demand. The team focuses on system-level IP, RTL design flows, and design automation for high-quality silicon. This ASIC Design Engineer role defines and develops system-level RTL and methodologies for performance monitoring, runs and debugs RTL quality checks, and automates design flows in collaboration with architects, designers, verification, and software engineers.

What you will do

  • Be an integral part of the team defining and developing system-level RTL and methodologies to measure performance on the industry's leading GPUs/SOCs.
  • Design and implement RTL features - work through the entire design cycle for SOC.
  • Run and debug RTL checks to ensure design quality (e.g. CDC, RDC, Lint, Synthesis, Logic-Equivalence and more)
  • Define, develop, and automate flows and methodologies to efficiently build and support a system-level IP
  • Work with architects, designers, verification and SW engineers to accomplish your tasks.

Skills used in this role

VerilogRTL DesignSystem-on-Chip (SoC)PerlPythonCDCRDCLintSynthesisLogic Equivalencedc_shellVCSDebussyGDBDesign AutomationAI ToolsDebuggingCommunicationCollaboration

What the employer is looking for

  • B.Tech or M.Tech in Electronics or Computer Engineering.
  • 3+ years of relevant industry experience.
  • Experienced in RTL design (Verilog), System-On-Chip design/implementation flows, and design automation.
  • Good understanding of SOC/IP (u)architecture (e.g., data flow, control, multiple clock/power domains handling, latency analysis).
  • Strong coding skills in Perl, Python or other industry-standard scripting languages.
  • Excellent debugging and analytical skills.
  • Exposure to design and verification tools (dc_shell or equivalent synthesis tools, VCS or equivalent simulation tools, debug tools like Debussy, GDB).
  • Great communication and collaboration skills to interact within the team and with cross functional teams.
  • Adept at using AI tools to enhance productivity and solve complicated problems

Benefits and support

  • Compensation and benefits are detailed in the job posting

About NVIDIA

NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.

Industry
Semiconductors
Company size
42000+ employees
Founded
April 5, 1993
Location
Santa Clara, California, USA
Funding stage
Public Company

Funding

Public Company · $5M raised

Worldview Technology Partners

Leadership

JH
Jensen Huang

Founder, President and Chief Executive Officer

CK
Colette Kress

Executive Vice President and Chief Financial Officer

CA
Chris A. Malachowsky

Founder and NVIDIA Fellow

JP
Jay Puri

Executive Vice President, Worldwide Field Operations