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NVIDIA

Designs the chips and software that power AI

Manager System Design Tools and Methodology

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Mechanical Engineering, or Computer Science, or equivalent experience.
  • At least 10 years of overall experience in system design, CAD administration, or PLM workflow development.
  • At least 4 years of direct people management or technical leadership experience within a complex engineering environment.
  • A comprehensive understanding of the hardware product development lifecycle, from conceptual design to mass production operations.
  • Demonstrated ability to lead and influence multifunctional collaborators across engineering, operations, and applications teams.
  • A strong technical background implementing or customizing enterprise-level engineering tools such as Dassault, Cadence, PTC, or similar.
  • Experience using data analytics to drive process improvements and engineering efficiency.

Responsibilities

  • Drive the evolution of CAD and PLM ecosystems to support rapid, high-fidelity hardware iteration across the enterprise.
  • Architect data-driven workflows and analytics platforms that provide real-time insights into system design health and project achievements.
  • Partner with electronic, mechanical, thermal, and validation teams to eliminate technical friction.
  • Streamline the transition from prototyping to manufacturing by implementing robust, scalable methodologies.
  • Collaborate with project and program managers to identify and automate bottlenecks throughout the process of bringing products to market.
  • Lead a high-performance team developing custom utilities, API integrations, and advanced reporting tools for engineers.

Desired Qualifications

  • A consistent record of running multidisciplinary CAD environments focused on ECAD/MCAD integration.
  • Experience using Python or other scripting languages to develop custom automation and extend tool functionality.
  • A background in large-scale PLM migrations or implementing company-wide NUDD (New, Unique, Different, Difficult) risk management frameworks.
  • Knowledge of modern data visualization tools for translating complex engineering metrics into actionable executive insights.

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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