Drimva

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Hardware Engineer, AI Accelerator Module Design

$118K–$170K

Austin, TX +1 · Full-time · Posted Oct 13, 2026

Location
Austin, TX
Menlo Park, CA
Experience
2+ years for each of the three experience areas specified in the qualifications; additional experience areas are listed without years.
Education
BS in Electrical Engineering, Computer Engineering, or a related technical discipline.

About the job

Designs and validates electrical systems for custom AI accelerators and high-performance compute hardware, from concept through production and data center deployment.

What you'll do

  • Design and validate accelerator electrical systems, including PCB, power delivery, and signal integrity.
  • Plan hardware bring-up and perform electrical characterization, qualification, and debugging.
  • Collaborate across engineering teams and with suppliers to resolve design, manufacturing, reliability, and field issues.

What they ask for

  • BS in Electrical Engineering, Computer Engineering, or a related technical discipline.
  • 2+ years of electrical or hardware engineering experience focused on high-performance compute, accelerator, or data center hardware design.
  • 2+ years of experience with PCB schematic capture, layout review, and signal integrity analysis for high-speed digital interfaces.
  • 2+ years of experience with power delivery network design and analysis, including decoupling, voltage regulator selection, and power integrity simulation.

Nice to have

  • Exposure to hardware reliability and qualification standards relevant to data center infrastructure (e.g., JEDEC, IPC).
  • Familiarity with thermal-electrical co-design for high-TDP accelerator systems in rack-scale data center deployments.

Pay

$118,000/year to $170,000/year USD base salary

Tools

PCIe, DDR, HBM, SerDes, SPICE, HyperLynx, Ansys SIwave, JEDEC

AI focus

Contributes to the design of custom AI accelerators and high-performance compute hardware that supports AI workloads in data centers.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)