Senior GPU Architect at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Computer Graphics, SemiconductorsIndustries

Requirements

Masters/Bachelor’s degree in CS or Math, with 3+ years of relevant experience in Compilers, Parallel programming, computer architecture or related field
Strong programming ability in C, C++, Python
Strong understanding of Compiler and data structure
Ability to work with teams spanning both hardware and software boundaries
Ways to stand out
Experience in GPU compilers and architectural exploration
Solid programming skills and CPU core architecture background
Understanding of ISA of CPU (GPU ISA will be a big plus)

Responsibilities

Contribute to advancing GPU Streaming Multiprocessor (SM) Architecture, Simulators, compilers and testing infrastructure
Understand and model in architecture compiler, features for AI and graphics GPU SM
Develop test plans and testing infrastructure for next generation GPU SM
Develop tools to validate performance models and verify functional models

Skills

Key technologies and capabilities for this role

CC++PythonCompilersData StructuresParallel ProgrammingComputer ArchitectureGPU ArchitectureSimulatorsGPU ISACPU ISA

Questions & Answers

Common questions about this position

What degree and experience are required for the Senior GPU Architect role?

A Masters or Bachelor’s degree in CS or Math is required, along with 3+ years of relevant experience in Compilers, Parallel programming, computer architecture or related field.

What programming skills are needed for this position?

Strong programming ability in C, C++, Python is required, along with a strong understanding of Compiler and data structures.

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

The position is hybrid, indicating a mix of remote and in-office work.

What is the company culture like at NVIDIA?

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work, with a focus on amplifying human creativity and intelligence.

What experience will help me stand out as a candidate?

Experience in GPU compilers and architectural exploration, solid programming skills, CPU core architecture background, and understanding of CPU ISA (GPU ISA is a big plus) will make you stand out.

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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