Remote Hardware Design Engineer for AI Projects

Synthires; Greater London; Remote; GBP 62,000 - 123,000; Full time

Job summary

Synthires is seeking a Hardware Expert (MSc. or PhD) for a fully remote contractor role.

You will craft rigorous hardware engineering challenges for AI training projects, develop reproducible reference solutions, and validate outcomes using engineering tools with emphasis on first-principles reasoning and verifiable results. Ideal candidates have significant hardware engineering experience, demonstrated project ownership, and familiarity with coding agents.

Qualifications

• Significant professional or research experience in hardware engineering or a related technical field.
• Ownership of substantial engineering projects, testing, validation, or failure analysis.
• Experience working with coding agents.
• Strong quantitative reasoning and technical problem-solving skills.
• Ability to develop accurate, well-documented, and reproducible engineering solutions.

Responsibilities

• Create technically rigorous hardware engineering problems based on realistic industry or research scenarios.
• Develop clear, reproducible reference solutions using calculations, simulations, scripts, or experimental reasoning.
• Validate results using appropriate engineering tools and software.
• Apply first-principles reasoning to practical engineering constraints.
• Design challenges that assess technical judgment, quantitative reasoning, and problem-solving.
• Ensure solutions can be independently verified.

Skills

Hardware engineering

Project ownership

Coding agents

Quantitative reasoning

Documentation & reproducibility

Education

Electrical/Mechatronics/related field degree

Tools

Python

MATLAB

Simulink

SPICE

Julia

C/C++

Test automation

Job description

Synthires is seeking a Hardware Expert (MSc. or PhD) for a fully remote contractor role.

You will craft rigorous hardware engineering challenges for AI training projects, develop reproducible reference solutions, and validate outcomes using engineering tools with emphasis on first-principles reasoning and verifiable results. Ideal candidates have significant hardware engineering experience, demonstrated project ownership, and familiarity with coding agents.