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

About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. - LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC - WORKLOAD: Approximately 15 hours per week. - SCHEDULE: Flexible; choose your working days and hours, including weekends. - COMPENSATION: Output-based, with payment per task that meets project specifications. - PROJECT: AI training focused on real-world hardware engineering problems. - AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities - Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. - Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. - Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. - Use programming and engineering software to model, simulate, analyze, and validate hardware systems. - Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. - Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. - Validate engineering models and simulation results against experimental or physical test data. - Develop and apply verification and testing methodologies. - Investigate complex hardware failures, identify root causes, and recommend corrective actions. - Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. - Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, 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: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.