Hardware Expert - Remote

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

Hardware Engineer - AI Training

Location: Global, Fully Remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible

Job Summary

We are seeking experienced Hardware Engineers to support AI training projects involving real-world engineering challenges, technical problem-solving, and validation. Candidates should have hands‑on experience solving complex engineering problems and using coding agents in their workflow.

Key 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.

Required 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.

Selection Process

1. Submit an application and complete screening questions.
2. Complete an approximately 30‑minute AI interview.
3. Complete the hiring manager review.

Availability

Candidates should be ready to start promptly, with the first task expected within 24-48 hours after onboarding.