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.
What You’ll Be Doing:
Analyze PCB designs for manufacturability (DFM) and identify issues early in the design cycle.
Collaborate with hardware, layout, and manufacturing teams to ensure design intent aligns with production capabilities.
Use CAD tools such as Cadence Allegro and Siemens Valor to review and optimize PCB layouts.
Participate in design reviews and cross-functional meetings to address manufacturing constraints and improve design quality.
Document and promote best practices and DFM guidelines across teams.
Support root cause analysis and resolution of manufacturing issues during new product introduction.
Stay current with industry standards and emerging PCB manufacturing technologies.
What We Need to See:
Bachelor’s degree in Electrical, Electronics, Mechanical, or Manufacturing Engineering (or equivalent experience)
At least 10 plus years industry experience.
Familiarity with PCB design tools (e.g., Altium Designer, Eagle, OrCAD).
Solid understanding of PCB design fundamentals and DFM principles.
Strong analytical and communication skills with attention to detail.
Ability to work in a fast-paced, multidisciplinary environment and adapt to changing priorities.
Ways to Stand Out from the Crowd:
Internship or project experience in PCB design or DFM.
Knowledge of PCB fabrication and assembly processes.
Experience with design rule checks, Gerber file generation, and industry standards.
Familiarity with high-volume manufacturing environments and failure analysis workflows.
Passion for continuous improvement and process optimization.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
