Senior Hardware Engineering & AI Systems Specialist

New

Gramian ConsultancyAI training, hardware engineering

Remote – US, Canada, Australia, New Zealand, UK, SEA, and APACPart-TimeSenior

Salary not disclosed

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Job Details

Languages: Strong written and spoken English communication skills.
Experience: Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis.
Required Skills: Python

Hold a bachelor's, master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline.
Have significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis.
Demonstrate ownership of substantial engineering work, such as taking a hardware product or subsystem into production.
Have experience validating engineering models against physical testing, developing engineering test or verification systems, or diagnosing and resolving complex hardware failures.
Have mandatory hands-on experience working with AI Coding Agents.
Have strong practical programming skills and be able to independently write, understand, debug, and execute code.
Have experience with programming languages or engineering tools relevant to hardware development and analysis.
Be able to connect first-principles engineering knowledge with practical design and operational constraints.
Have strong quantitative, analytical, and technical reasoning skills.
Be able to produce clear, technically accurate, independently verifiable engineering solutions.
Have strong written and spoken English communication skills.

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 in engineering workflows, code development, debugging, and technical problem-solving; document work so results are reproducible and independently verifiable.

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