SOC Design Team Methodology Intern - 2027

NVIDIA
Shanghai
Workplace: OnsiteInternshipFunction: Design (Product/UX/UI/Visual)Education: mastersSkills: ["Problem-finding","Detail-oriented execution","Organized","Collaborative","Communication"]

Support NVIDIA’s System-on-Chip (SOC) design methodology by working on real production design flows. Help identify pain points in SOC configuration, document bottlenecks, and prototype improvements to increase turnaround time, quality, and automation. Develop AI agents and scripting tools (Python/Perl) to reduce repetitive/manual steps, and contribute to runbooks and best-practice documentation while collaborating with experienced SOC design engineers.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

SOC Design Team Methodology Intern - 2027

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Last checked: 15 hours agoStatus: Live

Job Summary

Support NVIDIA’s System-on-Chip (SOC) design methodology by working on real production design flows. Help identify pain points in SOC configuration, document bottlenecks, and prototype improvements to increase turnaround time, quality, and automation. Develop AI agents and scripting tools (Python/Perl) to reduce repetitive/manual steps, and contribute to runbooks and best-practice documentation while collaborating with experienced SOC design engineers.
Location: Shanghai
Workplace: Onsite
Employment Type: Internship
Job Function: Design (Product/UX/UI/Visual)
Seniority: Intern level

Key Responsibilities

  • •Get up to speed on NVIDIA’s SOC project development environment, tooling, and design flows.
  • •Identify pain points in SOC configuration and methodology areas and help scope improvement opportunities.
  • •Review conventional SOC design flows, document bottlenecks, and propose/prototype upgrades to improve turnaround time, quality, or automation.
  • •Develop and refine AI agents and automation scripts to enable faster “Speed of Light” execution.
  • •Contribute to documentation, runbooks, and best-practice guides, collaborating with SOC Design engineers to gather requirements and iterate solutions.

Key Requirements

  • •Currently pursuing an MS (or higher) in Electrical Engineering or Computer Science, graduating in 2028.
  • •Working knowledge of digital ASIC front-end design flows.
  • •Strong scripting skills (Python, Perl, or similar) to automate tasks and build maintainable tooling.
  • •Foundational interest in AI agent development (e.g., LLM-based agents, prompt design, tool-use/function-calling, or agentic workflows).
  • •Fluent English (written and spoken) for collaboration in a global team.
Experience:ASICAI agentsEDA tools
Education:Master's in MS (or higher) in Electrical Engineering or Computer Science
Skills:Problem-findingDetail-oriented executionOrganizedCollaborativeCommunication
Languages:English
Tech Stack:PythonPerlAI agentsLLM-based agentsPrompt designFunction-callingAgentic workflowsLangChainLlamaIndexOpenAI-style tool useGitCI/CDLinuxEDA toolchainsDigital ASIC front-end design flows

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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