Product Management and Configuration Engineer

Reposted 5 Hours Ago
Be an Early Applicant
2 Locations
In-Office
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Manages product lifecycles from development through end-of-life, including BOMs, configuration standards, and engineering change processes. Improves product configuration workflows and develops AI-assisted tools for data handling, validation, analysis, and reporting. Collaborates with R&D, product engineering, program management, and operations to implement product changes efficiently. The role requires industrial engineering expertise, analytical ability, cross-functional communication, and experience with BOM management, change control, and product configuration.
Summary Generated by Built In

NVIDIA (Networking Business Unit) is looking for Industrial Engineer for the Product Management & Configuration Team. NVIDIA Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of markets including high performance computing, enterprise, data centers, cloud computing, big data and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. Our product line is focusing on delivering the most optimized Ethernet solutions for industries like Media and Entertainment as well as any other industry that can benefit from our Datastream and TCP/IP acceleration.

What you'll be doing:

  • Manage the product lifecycle from early development through mass production and end-of-life, ensuring alignment with configuration and release standards.

  • Manage product Bills of Material (BOMs) and drive continuous improvements in product configuration processes.

  • Manage and support engineering change processes, including ECOs/ECRs and product configuration changes.

  • Identify opportunities to integrate AI and automation into product lifecycle and configuration management processes.

  • Develop and maintain AI-assisted tools to reduce manual effort in data handling, validation, analysis, and reporting.

  • Collaborate with multi-functional teams, including R&D, Product Engineering, Program Management, and Operations, to ensure smooth and timely implementation of product changes.

What we need to see:

  • B.Sc. in Industrial Engineering or an equivalent field.

  • 2+ years of experience with product BOM management, change control, and product configuration.

  • A proactive, hands-on great teammate who can independently lead tasks from start to finish.

  • Ability to perform effectively in a fast-paced and dynamic environment.

  • Excellent interpersonal and communication skills.

  • Strong analytical thinking and decision-making skills.

  • Strong written and verbal English skills.

Ways to stand out from the crowd:

  • Hands-on experience with AI/LLM tools such as ChatGPT, Claude, Codex, or Copilot for process automation, data analysis, or workflow optimization.

  • Experience building prompts, scripts, AI agents, or automations to improve operational workflows.

  • Experience with data analysis, dashboards, or BI tools.

  • Experience working with PDM/PLM systems.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most talented and forward-thinking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is committed to fostering a diverse 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

  • Bachelor of Science degree in Industrial Engineering or an equivalent field
  • 2+ years of experience with product BOM management, change control, and product configuration
  • Ability to independently lead tasks from start to finish
  • Ability to work effectively in a fast-paced and dynamic environment
  • Excellent interpersonal and communication skills
  • Strong analytical thinking and decision-making skills
  • Strong written and verbal English skills
  • Hands-on experience with AI or LLM tools such as ChatGPT, Claude, Codex, or Copilot
  • Experience building prompts, scripts, AI agents, or automations for workflow optimization
  • Experience with data analysis, dashboards, or BI tools
  • Experience working with PDM or PLM systems

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

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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.”

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