Hardware Expert (MSc. or PhD), Remote

Hardware Expert (MSc. or PhD)

Location: Global, fully remote

Job Type: Contract (15-20 hours per week)

Schedule: Flexible; you choose the hours and days you work, including weekends if desired

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.

Work Scope

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.

Demonstrated ownership of a substantial engineering problem—for example, a product or subsystem that reached production, a model validated against physical testing, a test system you developed, or a difficult failure you diagnosed.

Experience working with Coding Agents is a must

Process

Complete Your Application

AI interview of approximately 30 minutes.

Hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.