Deep Learning Performance Software Engineer at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Masters or PhD or equivalent experience in relevant discipline (CE, CS&E, CS, AI)
SW Agile skills helpful
Excellent C/C++ programming and software design skills
Python experience a plus
MLIR experience a plus
AI agent experience a plus
Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU
GPU programming experience (CUDA or OpenCL) desired
3 years of relevant work experience
Ability to work in a fast-paced customer-oriented team
Excellent communication skills

Responsibilities

Develop deep learning compiler
Develop highly optimized deep learning kernels
End-to-end performance optimization
Do performance optimization, analysis, and tuning

Skills

Key technologies and capabilities for this role

C/C++PythonMLIRCUDAOpenCLGPU programmingDeep learning compilerPerformance optimizationProfilingCode optimizationAgile

Questions & Answers

Common questions about this position

What education level is required for this Deep Learning Performance Software Engineer role?

A Masters or PhD or equivalent experience in a relevant discipline such as CE, CS&E, CS, or AI is required.

What are the key technical skills needed for this position?

Excellent C/C++ programming and software design skills are required, with GPU programming experience (CUDA or OpenCL) desired, along with performance modeling, profiling, debug, and code optimization skills. Python, MLIR, and AI agent experience are pluses.

What is the minimum work experience required?

3 years of relevant work experience is required.

What is the work environment like at NVIDIA for this role?

The role involves working in a fast-paced customer-oriented team, and NVIDIA is considered one of the technology world’s most desirable employers with brilliant and talented people. They seek creative and autonomous individuals, with excellent communication skills necessary.

What does NVIDIA look for in strong candidates for this position?

Strong candidates will have the required technical skills, 3+ years of experience, and demonstrate creativity, autonomy, SW Agile skills, and excellent communication to thrive in a fast-paced team.

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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