Software Engineer, CUDA-Q

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Quantum Computing, Semiconductors, Software DevelopmentIndustries

Requirements

Candidates must possess a Bachelor's degree in Computer Science, Physics, or a related engineering field, or equivalent experience, with over 5 years of experience in large-scale software projects. Proficiency in GPU-programming, understanding of performance profiling, multi-processor systems, and compiler fundamentals are essential. Strong communication and collaboration skills are also required.

Responsibilities

The Software Engineer will contribute to the CUDA-Q platform by building core infrastructure for inter-device communication and efficient execution across multiple processors. They will partner with architects and product managers to create an extensible toolchain, solve complex problems at the intersection of compilers, HPC, and quantum computing, and refine software designs and implementation strategies with peers.

Skills

CUDA-Q

GPU programming

Compiler development

Parallel programming

Distributed programming

HPC

Quantum computing

Performance profiling

Multi-processor systems

Software design

Software infrastructure

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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