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

Gramian Consulting Group

7h•Remote

About The Position

Gramian Consultancy is 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. The work involves designing, solving, and evaluating engineering problems using first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. The role is intended for engineers with practical implementation experience and ownership of 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. Candidates must be able to write and execute code independently, use AI-assisted coding tools effectively, and validate technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous AI model training experience is not required. This is a remote opportunity open to candidates in the US, Canada, Australia, New Zealand, the UK, SEA, and APAC. The workload is approximately 15 hours per week, with a flexible schedule that allows candidates to choose their working days and hours, including weekends. Compensation is output-based, with payment per task that meets project specifications. The project focuses on AI training using real-world hardware engineering problems.

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, or 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.

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 requiring 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 so results are reproducible and independently verifiable.