Electrical Engineering Specialist - Fully Remote | Upto $100/hr

Job Description

Job Description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Electrical Engineering Expert (Semiconductor / ASIC / RFIC)
Type: Contract
Compensation: $100/hour
Location: Remote
Commitment: 15–20 hours/week

Role 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.

Qualifications

Must-Have

• Hands-on ownership of chip blocks/systems through tapeout.
• Experience with advanced semiconductor PDKs such as TSMC , GlobalFoundries , 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, SerDes, PMICs, sensor interfaces)
• RFIC Design (LNAs, mixers, transceivers, PLLs, PAs, mmWave systems)
• ASIC/Physical Design (RTL, synthesis, STA, floorplanning, CTS, PnR, ECO flows)

Preferred

• 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.

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

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