Senior ASIC Methodology, Flow and Integration Engineer

NVIDIA
Bengaluru, Hyderabad
Workplace: HybridFull timeFunction: Hardware, Embedded & Systems EngineeringExperience: 3+ yearsEducation: bachelorsSkills: ["Influencing","Collaboration","Debugging","Analytical thinking","Problem-solving"]

Own the ASIC flow and integration process across NVIDIA SoC and GPU projects, stitching RTL units and ensuring connectivity, hierarchy management, and debug readiness. Define and evolve internal design methodologies to improve scalability, quality, and turnaround time while building modular, reusable infrastructure deployable across technology nodes. Automate integration and delivery with Python/Perl and collaborate with RTL, verification, physical design, and architecture teams to ensure flow compatibility and design readiness.

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FursaFursa
NVIDIA
NVIDIA
23 hours ago

Senior ASIC Methodology, Flow and Integration Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Own the ASIC flow and integration process across NVIDIA SoC and GPU projects, stitching RTL units and ensuring connectivity, hierarchy management, and debug readiness. Define and evolve internal design methodologies to improve scalability, quality, and turnaround time while building modular, reusable infrastructure deployable across technology nodes. Automate integration and delivery with Python/Perl and collaborate with RTL, verification, physical design, and architecture teams to ensure flow compatibility and design readiness.
Location: Bengaluru, Hyderabad
Workplace: Hybrid
Employment Type: Full time
Job Function: Hardware, Embedded & Systems Engineering
Seniority: Mid level

Key Responsibilities

  • •Own the full-chip and block-level integration process across multiple NVIDIA SoC and GPU projects.
  • •Stitch RTL units and ensure seamless connectivity, hierarchy management, and integration across projects.
  • •Define and evolve internal design methodologies to improve scalability, quality, and turnaround time.
  • •Build automation pipelines using Python/Perl to streamline integration, debug, and delivery.
  • •Collaborate with RTL, verification, physical design, and architecture teams to ensure flow compatibility and design readiness.

Key Requirements

  • •BS/B.Tech/MS/M.Tech in EE, ECE, CS, or equivalent with 3+ years of experience in ASIC design integration and methodologies.
  • •Comprehensive understanding of IP development and build flows for ASIC design.
  • •Experience building integration infrastructure and systems beyond RTL coding that are modular and reusable.
  • •Excellent influencing skills to collaborate with cross-cultural, multi-geography matrixed teams.
  • •Strong debugging, analytical, and problem-solving skills with good interpersonal teamwork.
Experience:3+ years
Education:Bachelor's in EE, ECE, CS (or equivalent)
Skills:InfluencingCollaborationDebuggingAnalytical thinkingProblem-solving
Tech Stack:ASICRTLSoCGPUPythonPerlIP development flowsBuild flowsAI toolsClaudeCursor

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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