Manager, Interconnect Manufacturing at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Semiconductor, Technology, Hardware ManufacturingIndustries

Requirements

B.S. degree, or equivalent experience in mechanical engineering, manufacturing, or material science
8+ overall years of equivalent experience and 2+ years of experience in leading or managing interconnect manufacturing activities, with proven leadership track record
Highly motivated, creative, proactive, and adaptable with excellent problem solving and critical thinking skills, ability to think outside the box, positive interpersonal skills, ability to lead multi-functional efforts
Deep understanding of interconnect design, mechanical system architecture and manufacturing process flow, good manufacturing practice and how to build successful products in large-scale environments
Global awareness of the relevant high-speed signal design constraints, the industry partners and competitors, expertise in commonly used manufacturing technologies
Team oriented with a "can do" attitude, highly enthusiastic in solving multi-disciplinary challenges
Understanding of press-fit connector technologies, thermal-mechanical stack-up and flatness control (warpage, coplanarity), basic electrical test and signal integrity (SI) knowledge
Proactive attitude towards automation, process control, and cost/yield improvement, proficiency in NPI and supplier qualification

Responsibilities

Implement NVIDIA’s interconnect manufacturing strategy, align it to the broader vision, and translate it into actionable plans for your team
Lead and develop a distributed team of experienced engineers, mentor early-career talent, drive programs from concept/exploration through implementation, provide technical mentorship and career development
Provide manufacturability feasibility analysis, present options and ensure the products meet the optimal balance of performance, quality, scalability, re-use, reliability, cost and time-to-market, make and clearly articulate tough trade-offs
Collaborate with multi-functional teams on automation initiatives, cost optimization, and manufacturing efficiency improvement
Manage supplier development, qualification, and audit for interconnect fabrication, assembly, and sub-tier connector suppliers
Continuously improve workflows, standards, and development methodologies, formalize guidelines and encourage adoption

Skills

DFM

DFA

Manufacturing-for-Design

NPI

Supplier Management

Mechanical Engineering

Manufacturing Engineering

Material Science

Team Leadership

Mentoring

Cost Optimization

Automation

Supplier Qualification

Audit

Workflow Improvement

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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