The job in two lines
This role involves managing the product lifecycle, including BOMs and configuration processes, and integrating AI and automation into these processes. The engineer will collaborate with various teams to ensure smooth implementation of product changes.
Summary by Rezifi's AI, from NVIDIA’s posting. Years and pay appear only when the posting states them.
What you'd do
- Manage product lifecycle from early development through mass production and end-of-life
- Manage product Bills of Material (BOMs)
- Manage and support engineering change processes
- 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 to ensure smooth and timely implementation of product changes
Skills it is built around
- product BOM management
- product configuration
- product life-cycle
Required
- Change Control
- AI-assisted tools
- AI/LLM tools
- data handling
- validation
- analysis
- journalism
- multi-functional teams
- Research and Development
- Product Engineering
- Program Management
- Operations
Nice to have
- statistics
- dashboard
- Business Intelligence
- PDM/PLM systems
The facts
- Experience
- 2+ years
- From the posting: “2+ years of experience with product BOM management, change control, and product configuration.”
- Pay
- Not stated
- The posting states no pay.
- Level
- Mid level
- Field
- Product management
The full posting
From NVIDIA’s careers site
As NVIDIA posted it. See the original
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.
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