Hardware Engineer for AI Training

Quick Facts

• Role: Hardware Engineer – AI Training (Contract)

• Work mode: Fully Remote (Global)

• Hours: ~15 hours/week, flexible schedule

Description

Support AI training projects with real-world hardware engineering challenges, including rigorous problem definition, validation, and troubleshooting using first-principles reasoning. You will create reference solutions using calculations, simulations, scripts, or experimental methods, then evaluate results for accuracy, reliability, and feasibility. Experience working with coding agents is mandatory.

Responsibilities

• Develop realistic, technically rigorous hardware engineering problems

• Create reference solutions using calculations, simulations, scripts, or experimental methods

• Validate results using engineering tools and reproducible workflows

• Apply first-principles reasoning to troubleshoot failures and assess system performance

• Evaluate engineering solutions for accuracy, reliability, and practical feasibility

Requirements

• Bachelor’s, Master’s, or PhD in Electrical, Mechanical, Aerospace, Mechatronics, Systems Engineering, Applied Physics, or a related field

• Significant professional or research experience in hardware engineering, product development, testing, validation, or failure analysis

• Demonstrated ownership of substantial engineering projects or technical problems

• Experience working with coding agents is mandatory

• Familiarity with tools such as Python, MATLAB, Simulink, SPICE, Julia, C/C++, or test automation platforms

• Ability to start promptly; first task expected within 24–48 hours after onboarding

Benefits

• Flexible remote contractor schedule (~15 hours/week)