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NVIDIA

Designs the chips and software that power AI

Product Management and Configuration Engineer

Business OperationsPosted on Nov 5
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A B.Sc. in Industrial Engineering or an equivalent field is required.
  • At least 2 years of experience with product bill of materials management, change control, and product configuration are required.
  • The candidate must be able to lead tasks independently from start to finish.
  • The candidate must be able to perform effectively in a fast-paced and dynamic environment.
  • Strong interpersonal and communication skills are required.
  • Strong analytical thinking and decision-making skills are required.
  • Strong written and verbal English skills are required.

Responsibilities

  • 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 and drive continuous improvements in product configuration processes.
  • Manage and support engineering change processes, including engineering change orders, engineering change requests, and product configuration changes.
  • Identify opportunities to integrate artificial intelligence and automation into product lifecycle and configuration management processes.
  • Develop and maintain artificial-intelligence-assisted tools to reduce manual effort in data handling, validation, analysis, and reporting.
  • Collaborate with multifunctional teams, including research and development, Product Engineering, Program Management, and Operations, to ensure smooth and timely implementation of product changes.

Desired Qualifications

  • Hands-on experience with artificial intelligence or large language model tools such as ChatGPT, Claude, Codex, or Copilot for process automation, data analysis, or workflow optimization.
  • Experience building prompts, scripts, artificial intelligence agents, or automations to improve operational workflows.
  • Experience with data analysis, dashboards, or business intelligence tools.
  • Experience working with product data management or product lifecycle management systems.

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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