Senior Hardware Engineering, AI Systems Specialist

Job not on LinkedIn

🔥 0 minutes ago

🌐 United States, Canada, +3 more countries – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote 🇦🇺 Australia – Remote 🇳🇿 New Zealand – Remote 🇬🇧 United Kingdom – Remote

⏳ Contract/Temporary

🟠 Senior

🔧 Hardware Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• 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

• 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 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

• Approximately 15 hours per week • Flexible schedule; choose your working days and hours, including weekends • Output-based compensation with payment per task that meets project specifications

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