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NVIDIA

Designs the chips and software that power AI

Senior Co-Packaged Optics Process Engineer

Manufacturing EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science degree in Mechanical Engineering, Optical Engineering, Material Science, or a related field.
  • At least 5 years of experience in relevant fields, including mass production, optical alignment process development, and data processing and analysis.
  • Experience participating in bringing new technology from the research and development stage to high-volume manufacturing.
  • Hands-on debugging experience.
  • Proficiency in statistical process control, Six Sigma, and quality control processes, with an understanding of machine and process interactions.
  • Excellent communication and presentation skills in English.
  • Ability to work independently, deliver results promptly, communicate effectively, operate with urgency, and work in a fast-paced development and production environment.

Responsibilities

  • Ensure end-to-end assembly process readiness for co-packaged optics products at manufacturing partners.
  • Collaborate with research and development, product engineering, and Operations to ensure robust manufacturing capabilities and reliability of co-packaged optics products, and to support smooth mass production.
  • Monitor yield analysis and drive continuous-improvement initiatives for new-product-introduction production lines to achieve optimal yield and efficiency in support of capacity and cost targets.
  • Maintain product quality by improving design, manufacturing processes, and equipment stability.
  • Provide onsite engineering support, including technical ownership and support for process or equipment issues.

Desired Qualifications

  • Knowledge of flip-chip packaging, multi-chip modules, hybrid bonding, optical connector assembly, or optical connector-to-chip attach.
  • Hands-on experience working with machines and optimizing process recipes.
  • Knowledge of design for excellence, failure mode and effects analysis, and failure-analysis methodologies.
  • Knowledge of yield analysis and process cycle-time reduction methodologies.
  • Experience working with outsourced semiconductor assembly and test providers in a volume manufacturing environment, and a background in the semiconductor or optical communications industry.

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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