Power Integrity Engineer

Reposted 16 Days Ago
Be an Early Applicant
2 Locations
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Collaborate on power integrity for Ethernet switch designs, optimize solutions, perform analysis, and support hardware teams.
Summary Generated by Built In

For over two decades, NVIDIA has consistently reinvented itself. Our creation of the GPU in 1999 not only fueled the rise of the PC gaming industry but also transformed modern computer graphics and revolutionized parallel computing. In recent years, our work in GPU deep learning has driven the advancement of modern AI, marking the beginning of a new era in computing. NVIDIA is a "learning machine" that continually adapts to challenging new opportunities—ones that only we can solve and that have a global impact. This is our mission: to enhance human creativity and intelligence.

We are currently seeking a Power Integrity Engineer. You will collaborate closely with our teams in the USA and India, drawing on extensive knowledge, technologies, and tools. As part of our team, you will contribute to the development of our Ethernet switch physical design product line, supporting the process from concept through design, implementation, verification, and tapeout. If you enjoy working with talented individuals to achieve ambitious goals, NVIDIA could be the ideal place for you. Our team is dynamic, working with cutting-edge and unique technology. If you’re someone who thrives on challenges, we invite you to join this diverse team and make a significant impact!

What you'll be doing:

  • Ensuring robust power integrity in physical design to optimize power delivery

  • Design and optimize physical design solutions for power integrity. 

  • Perform power integrity analysis and mitigation. 

  • Focal point for PI for partitions owners.

  • Collaborate with hardware and design teams on power delivery strategies.

  • Utilize tools and flow in advance technology to meet project development

What we need to see:

  • B.Sc. or higher in Electrical Engineering or related field: Solid educational foundation in electrical engineering  principles, particularly in power integrity and physical design.

  • 3+ years of experience in power integrity engineering: Proven experience in power integrity analysis, mitigation, and optimization, especially in the context of high-performance computing or networking hardware.

  • Proficiency with industry-standard PI tools: Hands-on experience with tools such as Cadence, Ansys, or other EM simulation tools, including power delivery network (PDN) analysis and design.

  • Ability to collaborate across teams: Strong communication and teamwork skills, with a track record of working closely with hardware and design teams to implement power delivery strategies.

  • Adaptability and problem-solving skills: Ability to thrive in a dynamic, fast-paced environment where quick thinking and creative solutions are often required.

Ways to stand out from the crowd:

  • Advanced degree (M.Sc./Ph.D.) in Electrical Engineering: Specialization in power integrity, signal integrity, or related fields, with a focus on cutting-edge research or projects.

  • Programming skills: Proficiency in Python, tcl, or other relevant programming languages for automating analysis or enhancing tool capabilities.

  • Innovative mindset: A demonstrated ability to push the boundaries of what’s possible in power integrity design, contributing to NVIDIA’s legacy of continuous innovation.

NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!

Top Skills

Ansys
Cadence
Python
Tcl
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

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.”

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