AI Silicon, Silicon Validation Engineer

What you'll do

• Lead power-on and bring-up of silicon prototypes and hardware platforms.
• Characterize mixed-signal circuits for functionality, performance, and power; debug issues across silicon, boards, and software.
• Build Python-based lab automation and collaborate with modeling and design teams on validation and root-cause analysis.

What they ask for

• B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related field.
• 5+ years of industry experience in post-silicon bring-up, hardware validation, or silicon characterization.
• Familiarity with lab test equipment, including oscilloscopes, logic analyzers, and power analyzers.
• Proficiency in mixed-signal circuit characterization and debugging, Python programming, and lab automation.

Nice to have

• Experience evaluating neural-network performance tradeoffs and correlating silicon measurements with simulation models.
• Understanding of hardware/software co-design for machine-learning inference or training; familiarity with FPGA emulation, RTL simulation, or AI automation.

Tools

Python, oscilloscopes, logic analyzers, power analyzers, FPGA, RTL

AI focus

Validates hardware for an AI computing platform; preferred experience includes evaluating neural-network architectures, ML hardware/software co-design, and AI automation.