Senior Signal and Power Integrity Engineer - Hardware

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

NVIDIA is seeking a Senior Signal and Power Integrity Engineer to work on crafting creative Signal Integrity solutions to complex system design problems. Responsibilities include system-level signal integrity simulations of high-speed interfaces, modeling of vias and connectors, and design/optimization of Power Delivery Networks. The role involves simulation automation, data gathering, analysis, and visualization, with opportunities to optimize package, PCB, ASIC, and mixed-signal circuits.

What you'd actually do

  1. Work on crafting creative Signal Integrity solutions to complex system design problems
  2. System-level signal integrity simulations of high-speed NVlinks 200Gbs+, USB-4, PCIe5, GDDR6, LP5X
  3. Modeling of vias, connectors, sockets and various system components in 3D EM tools.
  4. Design and optimize Power Delivery Network (PDN) across packages and PCBs.
  5. Constant improvements of SI/PI models through lab measurements

Skills

Required

  • BS/MS-Electrical Engineering or equivalent experience.
  • 3+ years of industry experience.
  • SI/PI work on one or more signaling standards like PCI express, USB, SATA, HDMI, HBM, DDR5, GDDR6, LPDDR5X
  • Hands on use of 3-D modeling tools like ANSYS HFSS/Q3D and 2.5-D with ANSYS SIWAVE or similar.
  • Experience with PDN evaluation using layout extraction tools for packages and PCBs and spice-based time domain simulations.
  • Background with a system level timing or loss budget including silicon, package and board impairments.

Nice to have

  • Familiarity with use of VNA, TDR, DSO, ParBERT and use of applications like JMP, Matlab will be a plus
  • Expertise in one or more of the high speed interface SI/PI design on any industry standard system platforms.
  • Experience with lab measurements, debugging, SI lab correlation using oscilloscope/ spectrum analyzer/ VNA.
  • Knowledge of circuit design, board/pkg component design, link architecture, timing budget methodologies