Senior GPU Architect at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

Bachelor’s degree (or equivalent experience) in Computer Science, Electrical Engineering, Computer Engineering, or a related field
5+ years of relevant work experience
Proven experience working in an architecture validation or full chip verification environment
Strong problem-solving and debugging skills, with a track record of driving issues to closure
Proficient programming skills in C++, C, and scripting languages such as Python
Experience using Z3 SMT solver (preferred but not required)
Solid background in Computer Architecture with experience in binning and yield recovery
Good understanding of build systems (CMAKE, make), toolchains (GCC, MSVC), and libraries (STL, BOOST), as well as familiarity with CI systems (Docker, Jenkins)
Effective communication and interpersonal skills, with the ability to work successfully in a distributed team environment

Responsibilities

Facilitate yield recovery and help define the binning strategy for GPU products
Define, build, and drive the verification test plan for the binning strategy for specific GPU products to ensure outstanding performance
Express the rules that promote performant product in terms of constraints for the Z3 SMT solver (experience preferred) and help develop and refine a C++ library
Collaborate with multiple teams including Architecture, ASIC, DV, Emulation, and Infrastructure to achieve seamless integration and strictly adhere to project timelines
Ensure reliable execution of the defined test plan, triage failures, and successfully implement fixes to drive bugs to closure
Manage project timelines effectively, ensuring team alignment for smooth progression and flawless execution
Monitor and anticipate resource requirements, determining needs throughout the verification process to compete effectively
Continuously improve planning and process flow by defining and tracking important metrics
Research and apply AI tools to streamline and optimize workflow, ensuring processes remain innovative

Skills

C++

Python

SMT solver

GPU architecture

Verification

ASIC

Debugging

Emulation

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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