Senior AI Hardware Validation & SI Engineer

SambaNova

Palo Alto (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Comprehensive medical insurance
Health Savings Account with employer contribution
Gym membership

Job summary

A leading AI infrastructure company located in Palo Alto, California, is seeking a Senior Hardware Validation & SI Correlation Engineer. This high-impact role involves ensuring the performance of next-generation AI server systems. Ideal candidates have extensive experience in hardware validation and deep knowledge of signal integrity tools. The company offers excellent benefits, including comprehensive medical coverage and well-being programs, making it a great opportunity for engineers interested in impacting the AI landscape.

Qualifications

  • 10+ years of experience in high-speed digital design or hardware validation.
  • Expert-level proficiency in SI/EM tools like Ansys HFSS and Cadence Sigrity.
  • Hands-on experience with high-bandwidth oscilloscopes and logic analyzers.

Responsibilities

  • Drive correlation between pre- and post-layout SI simulations and physical measurements.
  • Lead validation of control buses ensuring protocol compliance.
  • Develop automation scripts for data collection to improve validation processes.

Skills

Signal Integrity expertise
Hardware validation experience
Python programming
High-speed digital design

Education

B.S. or M.S. in Electrical Engineering

Tools

Ansys HFSS
Cadence Sigrity
Keysight ADS

Job description

A leading AI infrastructure company located in Palo Alto, California, is seeking a Senior Hardware Validation & SI Correlation Engineer. This high-impact role involves ensuring the performance of next-generation AI server systems. Ideal candidates have extensive experience in hardware validation and deep knowledge of signal integrity tools. The company offers excellent benefits, including comprehensive medical coverage and well-being programs, making it a great opportunity for engineers interested in impacting the AI landscape.
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