Systems Infrastructure Software Engineer at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

BS or MS (or equivalent experience) in CS, CE, EE, or a related field
Strong proficiency in C++ programming
3+ years working experience
Familiarity with compute architecture, OS design, or driver development (a strong plus)
Python programming experience (a plus)
Excellent communication skills

Responsibilities

Developing environments to program and test next-generation GPU and SoC features well before they are integrated into products or supported by driver software
Collaborating with colleagues across architecture, hardware, and software teams to unlock the functionality and performance of next-generation NVIDIA chips
Participating in the full chip development lifecycle—from architectural specification through release to production
Design, implement, and debug the next generation of large-scale, general-purpose graphics and computing chips
Help build the core verification infrastructure that drives the development of GPU and Tegra chips

Skills

Key technologies and capabilities for this role

C++PythonObject-Oriented ProgrammingDistributed ComputingCompute ArchitectureOS DesignDriver DevelopmentGPU Verification

Questions & Answers

Common questions about this position

What compensation does NVIDIA offer for this role?

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills are required for the Systems Infrastructure Software Engineer role?

Strong proficiency in C++ programming is required, along with a BS or MS in CS, CE, EE or related field, and 3+ years of working experience. Python programming experience and familiarity with compute architecture, OS design, or driver development are strong pluses. Excellent communication skills are also needed.

What is the team culture like at NVIDIA's Infrastructure Group?

The team is diverse, international, fast-paced, and maintains high production-quality standards. You'll work alongside some of the most brilliant and talented engineers in the world within rapidly expanding engineering teams.

What makes a strong candidate for this position?

NVIDIA is looking for creative, autonomous engineers with a genuine passion for technology, strong C++ proficiency, relevant education or experience, and excellent communication skills.

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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