Hardware Expert (MSc. or PhD)

Remotebridge; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

Remotebridge seeks a Hardware Expert (MSc/PhD) to tackle AI training challenges by solving real-world engineering problems. You will own meaningful hardware work, validate models with test data, and develop rigorous verification approaches.

This remote contractor role (~15 hours/week) offers flexible hours and pay per task, with global opportunities and production-ready thinking.

Qualifications

• Must have owned meaningful technical work such as bringing hardware to production, validating models with test data, or building a rigorous verification approach.
• Demonstrated ability to connect first-principles reasoning with practical constraints and produce independently verifiable results.
• Experience working with Coding Agents is a must.

Responsibilities

• Create technically rigorous, self-contained hardware engineering problems based on real-world scenarios.
• Develop clear reference solutions using engineering calculations, simulations, scripts, experimental reasoning, or other appropriate methods.
• Use tools like Python, MATLAB, Simulink, SPICE, Julia, C/C++, or test automation platforms to validate results where relevant.

Skills

Hardware engineering

Product development

Systems integration

Verification methods

Python

MATLAB

Simulink

SPICE

Julia

C/C++

Education

Bachelor’s, Master’s, or PhD in Electrical/Mechanical/Mechatronics/Engineering/Physics

Tools

Python

MATLAB

Simulink

SPICE

Julia

C/C++

Job description

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

Our team 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.
• 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

• Apply to the role and complete the screening questions.
• Complete an AI interview of approximately 30 minutes.
• Complete the 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.

Minimum submission requirements apply..

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.