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SOC IP Methodology Engineer – Custom SOC

Published Date: January 22, 2026
NVIDIA, Santa Clara, CA 95050
Job Description:

Nvidia is seeking a Senior SOC/IP Methodology Engineer to design and architect next-generation custom SoC/IP solutions. The ideal candidate will have a passion for innovation and a deep understanding of SoC systems, client requirements, and development cycles. This role involves collaboration with internal and external partners to optimize methodologies and ensure high-quality product delivery.

Responsibilities:

  • Develop and optimize semi-custom RTL to GDS methodologies.
  • Collaborate with internal and external partners on SOC/IP requirements and technology alignments.
  • Act as a hands-on domain expert from synthesis to final design closure.
  • Engage with customers on SOC/IP development processes and quality assurance.
  • Drive technical design reviews and improve development processes with innovative tools.
  • Manage results and handoffs to and from customers, ensuring methodology solutions and schedule plans are met.
  • Conduct early PPA on customer IP and perform what-if experiments to meet KPI targets.
  • Execute floorplan experiments to drive area estimates and evaluate solution tradeoffs.
  • Work with Nvidia's PD design methodology team to integrate external customer IP.
  • Collaborate with external ASIC companies for outsourced design components.

Qualifications:

  • Master's degree with 8+ years of experience or Bachelor's degree with 10+ years of equivalent experience.
  • Extensive leadership experience in physical design methodology and technical expertise.
  • Experience in SOC development and customer-focused environments.
  • Proven ability to handle complex IP ecosystems with internal and external partners.
  • Hands-on experience with RTL-to-GDSII tool flows and EDA vendor tools.

Skills:

  • Strong background in Synthesis, CTS, Power Optimization, Placement, and Route methods.
  • Proficient in scripting languages such as Python, Perl, and Tcl.
  • Excellent interpersonal and soft skills.
  • Experience with high-performance designs like CPU, GPU, and machine learning IPs.

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