Senior Power Integrity Engineer - LPU Packaging

Senior Power Integrity Engineer - LPU Packaging page is loaded## Senior Power Integrity Engineer - LPU Packaging locations:
US, CA, Santa Claratime type:
Full time posted on:
Posted Yesterday job requisition :
JR2014374

NVIDIA is now looking for a Senior Power Integrity Engineer to join our LPU Packaging team!

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.
** What you’ll be doing:
*** Define best‐in‐class power delivery design and optimization practices from die/package through board, tray, and rack levels for the full product development cycle
* Own the PI specification and methodology for assigned products, defining PDN targets including impedance, droop, noise, and transient response for GPU, HBM, and high‐speed Ser Des
* Architect package‐level PDNs by collaborating with design teams on bump/ball maps, via structures, and decoupling strategies for FCBGA and 25D/3D integrations
* Drive system‐level PI design, including board‐level PDN planning, decap placement, and VRM interfaces while co-optimizing with SI, thermal, and mechanical teams
* Perform PI extraction and simulation for advanced packages and develop integrated chip–package–board co‐simulation flows using industry-standard tools
* Generate and deploy reusable PI models, such as SPICE, S-parameter, and IBIS-AMI, for use by internal and external partners
* Define and execute comprehensive lab validation plans to correlate measured impedance, noise, and droop against simulation data and specifications
* Debug complex system‐level issues including rail noise, jitter‐induced errors, resets, and margin loss during hardware testing and validation
** What we need to see:
*** MS or PhD in Electrical Engineering or a related field, or equivalent experience
* 12+ years of relevant work experience in Power Integrity
* A strong background in power integrity for high-current, low-voltage rails within large GPUs, ASICs, or CPUs
* Proven ownership of the chip-package-board PDN design and sign-off process
* Hands-on experience with FCBGA, 25D/3D integration, HBM, or similar high-power, high-pin-count packages
* Direct experience in the co-design of bump/ball maps, power/ground planes, and decoupling capacitor networks
* Proficiency with frequency-domain PDN impedance analysis and time-domain transient/droop simulation tools (eg, Power

SI, Power

DC, Sigrity, Red Hawk, Totem, HFSS, SIwave, ADS, or SPICE)
* A deep understanding of board-level PDN design, including stack-up definition, plane partitioning, and VRM placement on high-layer-count accelerator boards
* Experience in executing lab measurements using VNAs, oscilloscopes, and PDN analyzers to correlate measured noise and droop to original specifications
** Ways to stand out from the crowd:
*** Demonstrated leadership of end-to-end PI for a major GPU, CPU, or ASIC program from initial concept through mass production
* Experience with data center or cloud hardware, specifically regarding rack-level power distribution and how PI choices impact performance headroom
* Background in co-designing SI and PI for high-speed interfaces like PCIe, NVLink, CXL, or Ethernet Ser Des to mitigate jitter and noise coupling
* Strong communication skills with the ability to clearly explain complex PDN trade-offs and risks to both technical teams and program stakeholders

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Artificial Intelligence, Deep Learning, Autonomous Vehicles, and Robotics.

We have a…