NVIDIA 2026 Interest in Deep Learning Engineer - New College Graduate - China at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Expected to graduate in 2026 with a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field
Experience related to Computer Architecture in one or more of the following focus areas: GPU Architecture, CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, or High-Performance Computing Systems
Experience with GPU Computing (CUDA, OpenCL, OpenACC), GPU Memory Systems
Experience with Deep Learning Frameworks (PyTorch, TensorFlow, Keras, Caffe)
Experience with HPC (MPI, OpenMP)
Experience with Modelling/Performance Analysis, Parallel Processing, Neural Network Architectures, GPU Acceleration, Deep Learning Neural Networks, Compiler Programming
Experience with Performance Modeling, Profiling, Optimizing, and/or Analysis

Responsibilities

(No specific responsibilities listed in the job description)

Skills

Key technologies and capabilities for this role

CUDAPyTorchTensorFlowKerasCaffeOpenCLOpenACCMPIOpenMPGPU ArchitectureDeep LearningParallel ProgrammingHigh-Performance Computing

Questions & Answers

Common questions about this position

What degree is required for the Deep Learning Engineer position?

Candidates are expected to graduate in 2026 with a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field.

What technical skills and experiences are needed for this role?

Experience is required in areas such as Computer Architecture (GPU/CPU), GPU Computing (CUDA, OpenCL), Deep Learning Frameworks (PyTorch, TensorFlow), HPC (MPI, OpenMP), Performance Modeling, Profiling, and Neural Network Architectures.

What is the salary for this Deep Learning Engineer role?

This information is not specified in the job description.

Is this a remote position, or where is it located?

This information is not specified in the job description.

What kind of candidate is NVIDIA looking for in this role?

NVIDIA seeks strategic, ambitious, hard-working, and creative individuals who are passionate about tackling challenges in Deep Learning with hands-on experience in industry-leading teams.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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