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Remote Electrical Engineering Expert; Semiconductor/ASIC/RFIC - AI Trainer
Remote / Online - Candidates ideally in
Littleton, Arapahoe County, Colorado, 80161, USA
Listed on 2026-06-03
Littleton, Arapahoe County, Colorado, 80161, USA
Listing for:
Mercor
Remote/Work from Home
position Listed on 2026-06-03
Job specializations:
-
Engineering
Systems Engineer, Electronics Engineer
Job Description & How to Apply Below
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
- 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)
- 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
- Estimated commitment: 15–20 hours/week
- Compensation:
Approximately USD 100/hour
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