Senior Technical Program Manager, NVIDIA Metropolis at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Technology, Computer VisionIndustries

Requirements

Bachelor's in Electrical Engineering or Computer Science or equivalent experience
6+ years of end-to-end Program Management experience in a similar or related role
Excellent verbal, written, interpersonal and presentation skills
Proficient in Agile project management methodologies
Experience with Jira to the point that you can comfortably guide an engineering team on how to use these tools and implement in an agile/scrum manner
Proven track record of being well organized, detail oriented, have excellent listening skills, in an environment with shifting priorities and changing requirements
Ability to think long-term and build consensus to make programs successful
Outstanding skills in prioritizing and building alignment

Responsibilities

Closely work with engineering and product management to deliver and drive strategic roadmap execution
Collaborate with engineering on sprint planning, stand ups, sprint review and retrospective
Use Jira dashboard and bug database queries to help with various reporting, and Confluence to provide comprehensive program updates to the core and leadership teams
Work closely with the engineering on various KPIs to improve overall execution process and deliverable
Integral member of Vision AI development and productization workflow
Lead all steps of the development lifecycle: from concept to model training, engineering for optimized inference and deployment

Skills

Jira

Confluence

Agile

Program Management

GPU

SDK

Microservices

Model Training

Inference

Deployment

Vision AI

Sprint Planning

KPIs

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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