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Senior Hardware Engineering, AI Systems Specialist
Gramian Consulting. Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in hardware engineering, including the development and validation of engineering models, programming with Python, and utilizing AI Coding Agents for problem-solving. Strong analytical and quantitative reasoning skills are essential for evaluating engineering solutions and ensuring technical accuracy.
Highest-signal resume keywords
Python ProgrammingAI Coding Agents ExperienceHardware EngineeringTesting and ValidationQuantitative Reasoning
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Engineering CalculationsSimulation DevelopmentModeling Hardware SystemsExperimental ReasoningVerification MethodologiesFailure AnalysisTechnical JudgmentProblem-SolvingAutomation of Engineering WorkflowsSystems Integration
Soft Skills
Analytical SkillsTechnical Communication
Industry Keywords
Electrical EngineeringMechanical EngineeringMechatronicsAerospace EngineeringSystems EngineeringApplied PhysicsProduct DevelopmentReliability EngineeringEngineering Test SystemsRoot Cause Analysis
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- 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 to ensure results are reproducible and independently verifiable
Requirements
What you’ll need- 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, including 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 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
Benefits
Comp & perks- Flexible schedule; choose your working days and hours, including weekends
- Approximately 15 hours per week
- Output-based compensation, with payment per task that meets project specifications