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Semiconductor Design Expert - AI Hardware

Mercor
locationNew York, NY, USA
PublishedPublished: 6/14/2022
Technology
Full Time

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

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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