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NVIDIA

Designs the chips and software that power AI

Principal Engineer - Package Integration and Manufacturability

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A B.S. or M.S. in Electrical Engineering, Mechanical Engineering, Materials Science, or equivalent experience.
  • More than 15 years of experience in package technology development or system integration, including carrying multiple products through assembly.
  • Deep understanding of 2.5D, chiplet, and organic substrate integration.
  • Working knowledge of assembly and module yield mechanics, including how alignment tolerance and process excursions affect assembly yield differently from die-level defect density.
  • Strong analytical capabilities and ability to solve demanding technical problems.
  • Ability to drive complex activities involving many interfaces and teams, and maintain a technical position across organizations.

Responsibilities

  • Lead technical assessment of package risk across chip programs by identifying failure modes in substrate, interposer, and assembly integration before silicon, quantifying cost and schedule impact, and presenting a clear position in program and technology reviews.
  • Drive manufacturability approaches across package, substrate, interposer, and silicon, spanning yield improvement, capacity and supply review, test strategy, thermal considerations, and assembly process maturity.
  • Push co-design approaches such as tolerance relaxation by design, testability before attach, design margins, redundancy, and partial-module recovery.
  • Analyze module yield mechanics, reconcile predicted versus actual yield on units returning from assembly, and turn findings into concrete design guidance.
  • Evaluate emerging packaging and photonics technologies, including solutions from external partners, and define product requirements in collaboration with the advanced technology group.

Desired Qualifications

  • Hands-on experience on an assembly floor, at a foundry, or at an OSAT.
  • Experience with co-packaged optics, photonic packaging, or fiber and laser attach.
  • Proven experience driving design-for-manufacturability into early architecture decisions.
  • Familiarity with large high-end ASICs and multi-die modules.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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