Principal Applied Research Scientist, Quantum Supercomputing

California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Quantum Computing, Supercomputing, Artificial Intelligence, Scientific ResearchIndustries

Requirements

Candidates must possess a Ph.D. in Physics, Computer Science, Chemistry, Applied Mathematics, or a related field, or have equivalent experience. A minimum of 10 years of applied quantum computing and scientific computing research or work experience is required, along with demonstrated leadership in technical partnerships with SCCs. Excellent programming skills in Python, C++, and a parallel programming model like CUDA are essential, as are world-class communication skills. A strong track record of research excellence, evidenced by publications in leading conferences and journals, is also necessary. Experience with the NVIDIA Quantum platform (cuQuantum or CUDA Quantum) is considered a plus.

Responsibilities

The Principal Applied Research Scientist will establish and lead technical collaborations with SCCs on hybrid quantum-classical application development across various industry verticals. They will oversee and drive the execution of technical deliverables for projects with key SCC partnerships, ensuring alignment with strategic objectives and customer success. Responsibilities include publishing research works, speaking at scientific, technical, and industry conferences, and representing NVIDIA in Quantum Computing technical consortia and committees. The role also involves contributing to NVIDIA's revenue through strategic technical engagement and developing innovative solutions to support customer adoption and long-term partnerships.

Skills

Quantum Computing

Scientific Computing

Python

C++

CUDA

Hybrid Quantum-Classical Computing

Applied Research

Technical Leadership

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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