Senior NPI Technical Program Manager - Operations at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Artificial Intelligence, Automotive, High-Performance Computing, GamingIndustries

Requirements

7+ years of proven experience in an engineering or technical/engineering program management role
Bachelor's in EE (or equivalent experience), Master's preferred
PMP or other Project/Program Management Certification is a plus
Excellent leadership, problem-solving, decision-making and cross-functional influencing skills
Proficiency in Program Management and planning tools
Ability to analyze and solution supply chain processes
Excellent knowledge of semiconductor manufacturing flow and processes
Strong verbal and written communications skills
Ability to work independently and navigate ambiguous situations
Strong engineering background with a keen interest in program management
Ability to thrive in a dynamic environment, see both high-level view and track details
Passion for working on products in deep learning, AI, ADAS, high-performance computing, enterprise graphics, and gaming

Responsibilities

Track and communicate key results, constraints, risks, dependencies and clearly identify critical paths while working with ASIC, product, test, system, software engineering and planning teams and other program managers towards a common goal
Handle cross-functional communications independently while working within a matrixed GM team and publish progress/roadblocks to upper management
Bring diverse teams together to tackle complex problems and work towards closure
Understand and collaborate in developing the Plan of Record (POR), ensuring qualification plans, checklists and specifications are in place to support production release
Develop engineering wafer and hardware risk plans and own internal and external sample supply
Lead and attend cross-functional NPI meetings related to your product and highlight key Ops issues and ensure that the product is ready for production
Drive process improvement initiatives for NPI across Operations and cross functional teams
Own metrics for NPI supply commits, production ramp and release turning points and manage bring-up budgets/OPEX for NPI
Develop processes and metrics for functional teams in Ops planning, engineering, logistics and quality teams
Responsible for the Operations NPI schedule and related milestones of taking a product from tape-out to production release
Help improve processes and efficiency to foster growth for the team and the company

Skills

NPI

Program Management

ASIC

Silicon Bring-up

Risk Management

Cross-functional Communication

Plan of Record

Qualification Plans

Tape-out

Production Release

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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