Senior Hardware Engineering – AI Systems Specialist, MSc/PhD

Gramian Consulting

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

Posted 11/10/2026contractRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in hardware engineering, including the development and validation of engineering models and solutions using programming and simulation tools. Proficient in applying quantitative reasoning and technical judgment to solve complex engineering problems and ensure product reliability.

Highest-signal resume keywords

Python ProgrammingAI Coding Agents ExperienceHardware EngineeringTesting and Validation MethodologiesQuantitative Reasoning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Engineering CalculationsSimulation DevelopmentExperimental ReasoningModeling Hardware SystemsDebugging CodeFailure AnalysisVerification Systems DevelopmentTechnical JudgmentProblem-SolvingSystems Integration

Soft Skills

Analytical SkillsTechnical Communication

Tools & Technologies

Engineering SoftwareComputational ToolsSimulation Tools

Industry Keywords

Electrical EngineeringMechanical EngineeringMechatronicsAerospace EngineeringSystems EngineeringApplied PhysicsProduct DevelopmentReliability Engineering

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 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 for engineering workflows, code development, debugging, and technical problem-solving
Document methodologies, assumptions, calculations, and reference solutions to ensure reproducibility and independent verification

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 working days and hours, including weekends
Output-based compensation with payment per task meeting project specifications