GPU Architect - New College Graduate 2027

NVIDIA
Shanghai
Workplace: OnsiteFull timeFunction: Hardware, Embedded & Systems EngineeringEducation: mastersSkills: ["Learning mindset","Creativity","Autonomy","Collaboration"]

Develop and enhance GPU architecture features that advance state-of-the-art graphics and parallel computing performance. Investigate and design new hardware features, collaborating with architects and researchers to build simulators and infrastructure for design validation. Work on tools for analysis, simulation, verification, and performance modeling, and create testing and testing infrastructure for new architectures. Gain hands-on experience with simulators, RTL, and real silicon.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

GPU Architect - New College Graduate 2027

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Develop and enhance GPU architecture features that advance state-of-the-art graphics and parallel computing performance. Investigate and design new hardware features, collaborating with architects and researchers to build simulators and infrastructure for design validation. Work on tools for analysis, simulation, verification, and performance modeling, and create testing and testing infrastructure for new architectures. Gain hands-on experience with simulators, RTL, and real silicon.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Hardware, Embedded & Systems Engineering
Seniority: Entry level

Key Responsibilities

  • •Investigate and design new hardware features for future graphics and parallel processing architectures.
  • •Collaborate in a team to document, design, and develop tools to analyze, simulate, validate, and verify functional or performance models.
  • •Develop tests, test plans, and testing infrastructure for new graphics or parallel processing architectures.
  • •Work with simulators, RTL, and real silicon to support architecture feature development and validation.
  • •Partner with other architects and researchers to build simulators and infrastructure to design and validate GPU architecture features.

Key Requirements

  • •MS in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience.
  • •Strong programming ability in C, C++, Perl, and Python.
  • •Background in computer architecture, graphics algorithms, parallel processing, signal processing, and/or high-performance computing.
  • •Experience working with simulators and infrastructure to design and validate new GPU architecture features.
  • •Ability to develop tests, test plans, and testing infrastructure for graphics and parallel processing architectures.
Experience:GraphicsParallel computingHigh performance computing
Education:Master's
Skills:Learning mindsetCreativityAutonomyCollaboration
Tech Stack:CC++PerlPythonRTLSimulatorsHigh performance computingSignal processing

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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