Hardware Expert (MSc. or PhD) Pay: $60–$120/hour Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired micro1 is engaging experienced Hardware Engineers to contribute to AI training projects built around co
About the role
Hardware Expert (MSc. or PhD)
Pay: $60–$120/hour
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible—you choose the hours and days you work, including weekends if desired
micro1 is engaging experienced Hardware Engineers to contribute to AI training projects built around complex, real-world engineering problems. In this role, you will use your technical expertise to create, solve, and evaluate engineering challenges that require sound judgment, quantitative reasoning, and reproducible answers.
We are looking for engineers who have personally owned meaningful technical work—such as taking a hardware system into production, validating a model against test data, developing a rigorous verification approach, or diagnosing a difficult failure. We value engineers who can connect first-principles reasoning with practical constraints and produce work that can be independently verified.
Scope of Work
Create technically rigorous, self-contained hardware engineering problems based on realistic industry or research scenarios.
Develop clear reference solutions using engineering calculations, simulations, scripts, experimental reasoning, or other appropriate methods.
Use tools such as Python, MATLAB, Simulink, SPICE, Julia, C/C++, test automation platforms, or equivalent engineering software to validate results when relevant.
Preferred Qualifications
Bachelor’s, Master’s, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related field.
Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. …
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