Product Management and Configuration Engineer
NVIDIA
Product Management and Configuration Engineer
NVIDIA
Designs the chips and software that power AI
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.
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.
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