Scientific Program Manager

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

High Performance Computing, Healthcare, Renewable Energy, Scientific Research, Artificial IntelligenceIndustries

Requirements

Candidates must possess a Master's degree in Science or Engineering, or equivalent experience, with over 12 years of relevant work experience, including at least 5 years leading projects in dynamic environments. Experience with worldwide organizations and communicating complex feature roadmaps is essential, along with a proven ability to drive cross-functional teams and a strong interest in scientific research. Experience in software development is a plus, as are high attention to detail, the ability to lead multiple priorities with minimal direction, a history of successful technology partnerships with researchers, stress resistance, excellent teamwork, interpersonal, presentation, and reporting skills, and proactivity in proposing innovative approaches.

Responsibilities

The Scientific Program Manager will lead and build relationships within the worldwide scientific community, communicating NVIDIA's advancements and fostering collaboration on scientific challenges. Responsibilities include translating customer requirements into actionable tasks, designing resilient strategies, and communicating scientific requirements to internal product planning teams. The role involves capturing and synthesizing input from agencies and researchers to develop coherent response strategies for HPC/AI, Data Analytics, and Edge computing.

Skills

Scientific Program Management

Supercomputing

HPC

Data Analytics

Edge Computing

Relationship Management

Communication

Strategic Planning

Product Planning

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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