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Gramian Consulting

Senior Hardware Engineering, AI Systems Specialist

Gramian Consulting

. Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios .

Posted 11/10/2026contractRemote • SingaporeSeniorWebsite

Core Competencies

Role fit
Core Competencies

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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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Applicant Tracking System Keywords

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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 & technologies
Python

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