The work
You will design difficult systems-level tasks, write reference solutions, evaluate proposed answers, and explain technical errors in writing. Topics may include memory management, concurrency, device drivers, firmware, RTOS behavior, hardware description, verification, correctness, safety, and performance. You may also help research and engineering teams identify gaps in AI model behavior and align evaluation standards with other subject matter experts.
Technical background
The role requires at least four years of dedicated professional experience in embedded systems, firmware, OS kernel engineering, or chip design at a recognized top-tier organization in semiconductors, operating systems, devices, automotive, or aerospace. Strong production C and/or C++ is required. Candidates must also have hands-on experience in at least one of these areas: Linux kernel or driver development, RTOS and firmware, or RTL design and verification. For the RTL path, the listed technologies are Verilog, SystemVerilog, VHDL, and UVM.
Screening focus
Expect an AI-led screen to ask for specific production examples and follow up on design decisions, failure modes, debugging evidence, and technical tradeoffs. Strong responses distinguish observed facts from assumptions, identify safety or performance risks, and show how a task or rubric would account for edge cases rather than accepting a superficially plausible solution.
Logistics
This is a W-2 employment position with Cincinnatus LLC, which serves as employer of record for placement with an AI lab. The required commitment is at least 20 hours per week during weekdays. The listing does not specify whether the work is remote, whether hours are fully asynchronous, or what daily overlap is required, so candidates should confirm those details during the process.
Pay band: $100–150/hr
