Job Description
Job DescriptionJob Description: Hardware Engineer (MSc. or PhD)
Role Type: Contractor
Location: Global – Fully Remote
About the Role
We are seeking experienced Hardware Engineers to contribute to AI training projects focused on complex, real-world engineering challenges.
In this role, you will apply your technical expertise to create, solve, and evaluate engineering problems that require strong technical judgment, quantitative reasoning, and reproducible solutions.
We are looking for professionals with hands-on experience in hardware engineering who have independently managed significant technical projects, such as bringing hardware systems into production, validating models against test data, developing verification methods, or diagnosing complex engineering failures.
Key Responsibilities
- Create technically rigorous and 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.
- Apply first-principles engineering concepts while considering practical design and implementation constraints.
- Use tools such as Python, MATLAB, Simulink, SPICE, Julia, C/C++, test automation platforms, or equivalent engineering software to validate results.
- Evaluate engineering solutions for technical accuracy, reliability, and reproducibility.
- Develop solutions that can be independently reviewed and verified.
Required 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 substantial engineering work, such as:
- Developing a product or subsystem that reached production.
- Validating engineering models against physical test results.
- Developing hardware testing or verification systems.
- Diagnosing and resolving complex engineering failures.
- Mandatory hands-on experience working with coding agents.
- Strong analytical, quantitative reasoning, and technical problem-solving skills.
Work Structure
- Approximately 15 hours per week.
- Flexible schedule with the freedom to choose working days and hours, including weekends.
- Contractor engagement.
- Global, fully remote opportunity.