SDK Verification Engineer at NVIDIA

Beijing, China

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, NetworkingIndustries

Requirements

Education: Computer Science or similar, Bachelor degree or above
4+ years of working experience within networking SW industry
Computer Network proven experience Layer-2 and Layer-3
Strong and proven experience with object oriented programming languages
Strong technical abilities, problem solving, design, coding and debugging skills
Ability to lead feature development, take full ownership of tasks from A-Z and deliver independently with minimum supervision
Great teammate with multi-tasking ability and good interpersonal skills

Responsibilities

Design, develop, optimize and maintain APIs, tools and libraries for OS Verification infrastructure software
Collaborate with team members, Architects, design, QA teams, and customers (both external and internal)
Design, develop, execute and maintain tests automation for release features

Skills

Key technologies and capabilities for this role

PythonCNetworking ProtocolsLayer 2Layer 3Object-Oriented ProgrammingWhite Box TestingMulti-ThreadingTest AutomationAPIsDebugging

Questions & Answers

Common questions about this position

What experience is required for the SDK Verification Engineer role?

Candidates need a bachelor's degree or above in computer science or similar, 4+ years of working experience in networking SW industry, proven computer network experience in Layer-2 and Layer-3, strong experience with object-oriented programming languages, and strong technical abilities in problem solving, design, coding, and debugging.

What are the preferred skills to stand out for this position?

Experience in C and Python programming, along with knowledge in networking protocols, will help candidates stand out.

What is the company culture like at NVIDIA for this team?

NVIDIA features a diverse group of engineers in small close-knit teams across the globe, emphasizing core values like innovation, perfection, determination, and teamwork, making it a dynamic and innovative work environment.

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

This information is not specified in the job description.

What qualities make a strong candidate for this role?

Strong candidates have the ability to lead feature development, take full ownership of tasks from A-Z, deliver independently with minimum supervision, multitask effectively, and possess great interpersonal skills as a teammate.

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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