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Remote Electrical Engineering Expert; Semiconductor​/ASIC​/RFIC - AI Trainer

Remote / Online - Candidates ideally in
Pueblo, Pueblo County, Colorado, 81004, USA
Listing for: Mercor
Remote/Work from Home position
Listed on 2026-06-03
Job specializations:
  • Engineering
    Systems Engineer, Electronics Engineer
Salary/Wage Range or Industry Benchmark: 100 USD Hourly USD 100.00 HOUR
Job Description & How to Apply Below
Position: Remote Electrical Engineering Expert (Semiconductor / ASIC / RFIC) - AI Trainer ($100-$100 per hour)

Mercor is hiring on behalf of a leading Silicon Valley AI lab seeking experienced Electrical Engineering Experts with strong semiconductor design and tapeout backgrounds to support advanced AI hardware initiatives.

Job Responsibilities
  • Contribute expertise across Analog, Mixed-Signal, RFIC, ASIC, or Physical Design workflows
  • Review semiconductor architectures, implementation methodologies, and silicon design tradeoffs
  • Support tasks related to tapeout flows, verification, timing closure, and silicon validation
  • Assist in evaluating and improving AI systems trained on hardware engineering workflows
  • Provide technical insight based on real-world production silicon experience
Minimum Qualifications
  • Hands-on ownership of chip blocks/systems through tapeout
  • Experience with advanced semiconductor PDKs such as TSMC, Global Foundries, Samsung, or Intel
  • Familiarity with pre- and post-silicon development flows
  • Strong understanding of schematic design, simulation, verification, DRC/LVS, parasitic extraction, and silicon bring-up
  • Prior experience in at least one of the following:
    • Analog/Mixed-Signal Design (ADCs, PLLs, LDOs, Ser Des, PMICs, sensor interfaces)
    • RFIC Design (LNAs, mixers, transceivers, PLLs, PAs, mmWave systems)
    • ASIC/Physical Design (RTL, synthesis, STA, floor planning, CTS, PnR, ECO flows)
Preferred Qualifications
  • Production silicon experience preferred over purely academic or simulation-based work
  • Experience taping out RF designs at GHz/mmWave frequencies
  • Strong ability to explain architectural, power, performance, and timing tradeoffs made during implementation
  • Experience working on advanced-node semiconductor designs
  • Prior exposure to AI hardware, accelerators, or high-performance compute systems
Role Details
  • Estimated commitment: 15–20 hours/week
  • Compensation:
    Approximately USD 100/hour
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