Manager, System Design Tools and Methodology

NVIDIA•Santa Clara, CA

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is the world leader in accelerated computing, and our system products represent some of the most complex engineering challenges in the industry. The System Design Tools and Methodology team sits at the critical intersection of hardware innovation and software excellence, architecting the nervous system of our engineering pipeline. This is not a traditional support role; we define the workflows that enable some of the most sophisticated AI systems globally. You will lead a team of developers in CAD, PLM, and data examination to bridge the gap between electronic, mechanical, and thermal domains. This position offers the unique challenge of influencing the entire product lifecycle, from initial prototyping to global mass production. In optimizing multi-disciplinary engineering ecosystems, this high-impact leadership role will build our future!

Requirements

Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, or equivalent experience.
10+ overall years of total experience in system design, CAD administration, or PLM workflow development.
4+ years of direct people management or technical leadership experience within a complex engineering environment.
A comprehensive understanding of the hardware product development lifecycle (PDLC), from conceptual design to mass production operations.
Demonstrated ability to lead and influence multi-functional collaborators across engineering, operations, and applications teams.
Strong technical background in implementing or customizing enterprise-level engineering tools (e.g., Dassault, Cadence, PTC, or similar).
Experience employing data analytics to drive process improvements and engineering efficiency.

Nice To Haves

Consistent record of running multi-disciplinary CAD environments with a focus on ECAD/MCAD integration.
Experience using Python or other scripting languages to develop custom automation and extend tool functionality.
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.

Responsibilities

Driving the evolution of CAD and PLM ecosystems to support rapid, high-fidelity hardware iteration across the enterprise.
Architecting data-driven workflows and analytics platforms that provide real-time insights into system design health and project achievements.
Partnering with a diverse engineering landscape, including electronic, mechanical, thermal, and validation teams, to eliminate technical friction.
Streamlining the transition from prototyping to manufacturing through the implementation of robust, scalable methodologies.
Collaborating closely with project and program managers to identify and automate bottlenecks throughout the process of bringing products to market.
Leading a high-performance team focused on developing custom utilities, API integrations, and advanced reporting tools that empower thousands of engineers.