Network Compiler Verification Engineer - DPU at NVIDIA

Austin, Texas, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Computer Hardware, Semiconductors, NetworkingIndustries

Requirements

Candidates should possess a Bachelor's degree in an engineering-related field or equivalent experience, with at least 3 years of hands-on experience in a production software development or test organization. Strong Python scripting skills, work experience with networking products, robust problem-solving abilities, and the capacity to implement automation solutions are essential. Excellent verbal and written communication skills, discipline, quick learning, strong analytical skills, and attention to detail are also required. Preferred qualifications include knowledge of networking protocols at packet or cell level, experience with open-source P4, compilers, or network performance testing, familiarity with the Linux networking stack and hardware packet processing pipelines, and experience with containers and source management tools.

Responsibilities

The Network Compiler Verification Engineer will author and review test plans, implement and automate test cases, and integrate tests into continuous integration systems to verify the NVIDIA DPU compiler's alignment with requirements and industry standards. This role involves designing, developing, and automating testing methodologies and frameworks to improve compiler quality, triaging problems to identify and isolate issues, reporting bugs, and monitoring and publishing test results regularly.

Skills

Python

Networking Protocols

Test Automation

Problem-Solving

Analytical Skills

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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