Senior Hardware Engineering & AI Systems Specialist (MSc/PhD)

About the role

Gramian Consultancy, a boutique consultancy for IT professional services and engineering talent, is hiring a Senior Hardware Engineering & AI Systems Specialist (MSc/PhD) for a remote, flexible project. The work centres on AI training focused on real-world hardware engineering problems, and requires hands-on experience with AI coding agents. The workload is about 15 hours per week, with flexible days and hours including weekends, paid by output per completed task.

Key responsibilities

• Create technically rigorous, self-contained hardware engineering problems from realistic industry and research scenarios.
• Develop detailed reference solutions using engineering calculations, simulations, scripts and experimental reasoning.
• Use programming and engineering software to model, simulate, analyse and validate hardware systems.
• Write Python scripts and other computational tools to automate engineering calculations and validation workflows.
• Evaluate solutions against physical principles, technical specifications and real-world constraints, and validate models against physical test data.
• Develop verification and testing methodologies, and investigate complex hardware failures to recommend corrective actions.
• Use AI coding agents to support workflows, code development, debugging and problem solving.
• Document methodologies, assumptions and calculations so results are reproducible and independently verifiable.

Required profile

• Bachelor's, Master's or PhD in Electrical, Mechanical, Mechatronics, Aerospace, Systems Engineering, Applied Physics or a closely related discipline.
• 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 bringing products into production, validating models against physical tests, building test or verification systems, or diagnosing complex failures.
• Mandatory hands-on experience with AI coding agents; previous AI model training experience is not required.
• Strong written and spoken English.

Required skills

• Strong practical programming skills, able to write, understand, debug and run code independently.
• Experience with programming languages or engineering tools used in hardware development and analysis.
• First-principles reasoning, quantitative and analytical thinking, and the ability to produce clear, verifiable engineering solutions.