NPI Engineering Build Manager at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Technology, HardwareIndustries

Requirements

B.Sc. in Industrial Engineering, or equivalent experience
2+ years experience in a similar role, preferably within an engineering, manufacturing/operations environment
Ability to track multiple projects simultaneously
Good interpersonal skills to engage stakeholders for making decisions or resolving issues
Excellent leadership, communication, problem-solving, decision-making, and cross-functional influencing skills
Ability to analyze and solution supply chain processes
Excellent knowledge of semiconductor manufacturing flow and processes with proven program management capability
Concise and actionable communications
Ways to stand out
Prior experience in semiconductor, interconnect, board, or system NPI
Working knowledge of SAP
Strong collaborative and social skills, and ability to effectively guide and influence within a dynamic, multifaceted environment

Responsibilities

Build project's production plan per product's lifecycle, and execute it with NV manufacturers
Communicate with other team members and suppliers to get project details
Flexibility to adapt to changing requirements, diverse project needs, and tight timelines
Ability to report on program details in Alignment meetings
Track and communicate key deliverables, constraints, risks, dependencies and clearly identify critical paths while working with ASIC, product, test, software, board, system engineering and planning teams and other program managers towards a common goal
Manage cross-functional communications independently, work within a matrixed and publish progress/roadblocks and highlight risks to upper management
Bring diverse and globally distributed teams together to tackle complex problems and work towards closure
Lead and attend cross-functional NPI meetings related to your product and highlight key Ops issues while ensuring that the product is ready for production
Be an active participant in the NPI team by recommending methodology improvements that we can practice as a team

Skills

NPI

Supply Chain Management

Project Management

Production Planning

Cross-Functional Communication

Risk Management

ASIC

PCB Manufacturing

Deep Learning

Program Tracking

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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