Remote Hardware Engineer for AI Training & Validation

YO AI Labs; New York (NY); Remote; USD 83,000 - 165,000; Part time

Job summary

YO AI Labs is seeking experienced Hardware Engineers for AI training projects on a fully remote basis. The role emphasizes solving real-world hardware problems, developing reference solutions, and validating results through reproducible workflows.

A strong programming and engineering background is essential. Applicants should have substantial hardware experience and ownership of complex projects, with hands-on skills in Python, MATLAB, Simulink, SPICE, Julia, or C/C++.

Qualifications

• 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.

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.

Skills

Coding agents experience

Hardware problem solving

Education

Bachelors/Masters/PhD in engineering or related field

Tools

Python

MATLAB

Simulink

SPICE

Julia

C/C++

Test automation platforms

Job description

YO AI Labs is seeking experienced Hardware Engineers for AI training projects on a fully remote basis. The role emphasizes solving real-world hardware problems, developing reference solutions, and validating results through reproducible workflows.

A strong programming and engineering background is essential. Applicants should have substantial hardware experience and ownership of complex projects, with hands-on skills in Python, MATLAB, Simulink, SPICE, Julia, or C/C++.