Senior Operations Process Engineer

Posted Yesterday
Be an Early Applicant
Santa Clara, CA, USA
In-Office
136K-276K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develops and maintains product labeling, identification, configuration, and manufacturing-readiness processes for data center products. Partners with engineering, manufacturing, suppliers, contract manufacturers, and customers to define labeling specifications, support NPI and FAI activities, ensure PLM and BOM accuracy, validate barcodes, and improve operational workflows through standardization, automation, and tooling.
Summary Generated by Built In

Join us at NVIDIA, where we are transforming computer graphics, PC gaming, and AI industries with groundbreaking technology and a strong dedication to innovation. As part of our team, you'll find an encouraging environment that promotes creativity, collaboration, and excellence. We are seeking a detail-oriented and proactive Operations Process Engineer to drive product identification, labeling, manufacturing readiness, and product configuration processes for data center products throughout the product lifecycle. This role combines deep expertise in labeling and product identification with broader responsibilities across PLM, configuration management, customer requirements, and process optimization. The ideal candidate is comfortable working across engineering, operations, suppliers, and contract manufacturers to turn complex product requirements into accurate, scalable, and executable processes.

What You Will Be Doing:

  • Develop, release, and maintain product labeling and identification specifications throughout NPI, mass production, and sustaining phases.

  • Partner with industrial design, mechanical engineering, board layout, manufacturing, and suppliers to define label placement, materials, specifications, and implementation requirements.

  • Develop OEM label customization materials and support customer and CPM engagements for new product launches.

  • Support FAI and NPI activities by ensuring labeling, packaging, and product configuration requirements are accurately implemented and approved.

  • Support product configuration and BOM accuracy within PLM systems, ensuring product structures, revisions, and associated documentation are aligned with released product requirements.

  • Validate barcode designs and ensure compliance with applicable ISO standards and corporate requirements using barcode verification and label design tools.

  • Identify gaps and inefficiencies across PLM and operational processes and drive improvements through process standardization, automation, and better use of system capabilities.

What We Need to See:

  • 8+ years of experience in product identification, labeling, manufacturing operations, product configuration, or related engineering/operations disciplines, preferably in electronics or data center environments.

  • Strong knowledge of labeling systems, barcode standards, label materials, specifications, and manufacturing requirements.

  • Experience translating technical or customer requirements into clear specifications, processes, and documentation.

  • Strong cross-functional communication skills and demonstrated ability to work effectively with engineering, manufacturing, suppliers, contract manufacturers, and customers.

  • Exceptional attention to detail, ownership, follow-through, and ability to manage multiple priorities in a fast-paced environment.

  • BS or higher in Industrial Engineering, Electrical Engineering, Computer Engineering or equivalent experience

Ways to stand out from the crowd:

  • Deep expertise in product identification, barcode verification, and labeling standards, including ISO requirements.

  • Hands-on experience with tools such as Bartender, Codesoft, Adobe Illustrator, CorelDRAW, or similar label/design software.

  • Strong understanding of PDP/Windchill and the ability to identify opportunities to improve PLM workflows and data flows.

  • Experience identifying process limitations and developing or implementing automation and tooling solutions.

  • Proven ability to simplify complex processes and drive adoption of standardized, scalable solutions across engineering and manufacturing organizations.

We provide competitive salaries and generous benefits. We are widely regarded as one of the technology world’s most desirable employers. Our outstanding teams are growing fast due to unparalleled growth. Our people are thoughtful and dedicated. If you’re creative and autonomous with a passion for your work, we want to hear from you!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
136,000 USD – 218,500 USD for Level 4; and 176,000 USD – 276,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 6, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • 8+ years of experience in product identification, labeling, manufacturing operations, product configuration, or related engineering or operations disciplines
  • Experience in electronics or data center environments
  • Strong knowledge of labeling systems, barcode standards, label materials, specifications, and manufacturing requirements
  • Experience translating technical or customer requirements into specifications, processes, and documentation
  • Strong cross-functional communication skills and ability to work with engineering, manufacturing, suppliers, contract manufacturers, and customers
  • Exceptional attention to detail, ownership, follow-through, and ability to manage multiple priorities
  • Bachelor's degree or higher in Industrial Engineering, Electrical Engineering, Computer Engineering, or equivalent experience
  • Expertise in product identification, barcode verification, labeling standards, and ISO requirements
  • Experience with Bartender, Codesoft, Adobe Illustrator, CorelDRAW, or similar label and design software
  • Strong understanding of PDP and Windchill and opportunities to improve PLM workflows and data flows
  • Experience identifying process limitations and implementing automation and tooling solutions
  • Ability to simplify complex processes and drive standardized, scalable solutions across engineering and manufacturing organizations

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

NVIDIA Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

Similar Jobs

Adyen Logo Adyen

Senior Machine Learning Engineer

Fintech • Payments • Financial Services
Easy Apply
Hybrid
San Francisco, CA, USA
4771 Employees
228K-317K Annually

BlackLine Logo BlackLine

Sales Representative

Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Remote or Hybrid
USA
1810 Employees
85K-100K Annually

Babylist Logo Babylist

Machine Learning Engineer

eCommerce • Healthtech • Kids + Family • Retail • Social Media
Easy Apply
Remote or Hybrid
United States
300 Employees
234K-349K Annually

HiBob Logo HiBob

Account Manager

HR Tech • Information Technology • Professional Services • Sales • Software
Remote or Hybrid
US
1350 Employees
85K-100K Annually

Similar Companies Hiring

Unusual Machines, Inc. Thumbnail
Hardware • Robotics
Orlando, FL
300 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account