Senior Packaging Technical Engineer - Hardware at NVIDIA

Hsinchu City, Hsinchu City, Taiwan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Technology, AIIndustries

Requirements

BSEE or equivalent experience
Minimum of 5+ years in board/system design
Experience with package design is preferred
Good understanding of transmission line theory, power delivery, and signal integrity is desired
Strong programming and scripting skills in Perl, Python, Tcl desired
Cadence Skill and EXCEL familiarity are helpful
Enthusiastic and able to work with a minimum of supervision
Ability to solve complex technical problems

Responsibilities

Define the chip pad ring
Define substrate interconnect scheme
Lead the package layout design process
Collaborate with large teams consisting of Circuit, Signal Integrity, RTL, Place and Route, substrate layout, and system design Engineers and Managers
Work to define a chip floor plan, pad ring, substrate, and ball out implementing a robust world-class electrical package
Communicate effectively with various teams throughout the company

Skills

Key technologies and capabilities for this role

PythonPerlTclCadence SkillExcelSignal IntegrityPower DeliveryTransmission Line TheoryPackage DesignSubstrate LayoutBoard DesignSystem DesignChip Floor PlanPad Ring

Questions & Answers

Common questions about this position

What are the required qualifications for the Senior Packaging Technical Engineer role?

A BSEE or equivalent experience is required, along with a minimum of 5+ years in board/system design. Experience with package design is preferred, and a good understanding of transmission line theory, power delivery, and signal integrity is desired.

What programming skills are needed for this position?

Strong programming and scripting skills in Perl, Python, Tcl are desired, with Cadence Skill and EXCEL familiarity being helpful.

What is the compensation like at NVIDIA for this role?

NVIDIA offers competitive salaries and a generous benefits package.

What is the company culture like at NVIDIA?

NVIDIA features collaboration with large teams of engineers and managers, working with some of the most hard-working people to promote rapid growth in GPU and AI technology.

What makes a strong candidate for this Senior Packaging Technical Engineer position?

Candidates should be enthusiastic, able to work with minimal supervision, and seek to solve complex technical problems.

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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