NVIDIA 2027 New College Graduate: Deep Learning and High-Performance Computing Engineering - China

NVIDIA
Shanghai, Shenzhen, Beijing
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Analysis","Performance optimization","Profiling","Parallel processing","Problem-solving"]

Join NVIDIA’s 2027 Deep Learning & High-Performance Computing new college graduate engineering opportunities. You’ll gain hands-on experience with industry-leading teams focused on areas like parallel computing, GPU/CPU-related performance, AI compiler systems, LLM inference optimization, reinforcement learning, deep learning, and end-to-end training. NVIDIA will review resumes on an ongoing basis and a recruiter may reach out when your background aligns with specific roles.

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FursaFursa
NVIDIA
NVIDIA
3 days ago

NVIDIA 2027 New College Graduate: Deep Learning and High-Performance Computing Engineering - China

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Last checked: 1 hour agoStatus: Live

Job Summary

Join NVIDIA’s 2027 Deep Learning & High-Performance Computing new college graduate engineering opportunities. You’ll gain hands-on experience with industry-leading teams focused on areas like parallel computing, GPU/CPU-related performance, AI compiler systems, LLM inference optimization, reinforcement learning, deep learning, and end-to-end training. NVIDIA will review resumes on an ongoing basis and a recruiter may reach out when your background aligns with specific roles.
Location: Shanghai, Shenzhen, Beijing
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Requirements

  • •Expected to graduate in 2027 with a Bachelor’s, Master’s, or PhD degree in Electrical Engineering, Computer Engineering, or a related field.
  • •Experience in computer architecture areas such as Deep Learning, Parallel Programming, High-Performance Computing systems, GPU computing, GPU architecture, and CPU architecture.
  • •Experience with modelling/performance analysis, parallel processing, and neural network architectures.
  • •Experience with GPU acceleration and deep learning neural networks.
  • •Experience with compiler programming, performance modelling, profiling, optimizing, and/or analysis.
Experience:Deep learningHigh-performance computingAIGPU computing
Education:
Skills:AnalysisPerformance optimizationProfilingParallel processingProblem-solving
Tech Stack:GPU computingGPU architectureCPU architectureParallel programmingComputer architectureNeural network architecturesCompiler programmingProfiling

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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