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Internship Remote Hardware Engineer Jobs in Boston, MA

Junior Automation Engineer Location: 100% Remote Start: ASAP Duration: 6 months + extensions This ... internship experience) * Programming experience in Java or Python (TypeScript a plus)

Junior Automation Engineer Location: 100% Remote Start: ASAP Duration: 6 months + extensions This ... internship experience) * Programming experience in Java or Python (TypeScript a plus)

Embedded Software Engineer

Somerville, MA ยท On-site +1

$143K - $188K/yr

... remote procedure calls * Architect code that your fellow software engineers are excited to use and re-use * Have familiarity and comfort debugging complex hardware and software interactions.

iOS Engineer

Boston, MA ยท Remote

$56.25 - $77.50/hr

Reticent Media, Inc. has the best organized group of developers, everyone is remote and working in ... Qualifications Minimum Hardware Requirement : Candidate shall provide personal fully functioning ...

Showing results 41-60

Internship Remote Hardware Engineer information

See Boston, MA salary details

$55.4K

$158.9K

$213.5K

How much do internship remote hardware engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for internship remote hardware engineer in Boston, MA is $158,865.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,200.00 and $177,100.00 per year, depending on experience, location, and employer.

What is the difference between Internship Remote Hardware Engineer vs Remote Hardware Engineer?

AspectInternship Remote Hardware EngineerRemote Hardware Engineer
Required CredentialsEnrolled in or recent graduate of relevant engineering programBachelor's or higher in Electrical/Hardware Engineering
Work EnvironmentInternship program, part-time or full-time, supervisedFull-time remote position with independent responsibilities
Employer & Industry UsageTech companies, startups, hardware firmsEstablished companies, hardware design firms, tech industry

Internship Remote Hardware Engineers are typically students or recent graduates gaining hands-on experience, often part-time or temporary. Remote Hardware Engineers are full-time professionals responsible for designing and testing hardware components remotely. The internship offers learning opportunities, while the full-time role involves ongoing project responsibilities.

What are the most commonly searched types of Remote Hardware Engineer jobs in Boston, MA?

The most popular types of Remote Hardware Engineer jobs in Boston, MA are:

Infographic showing various Internship Remote Hardware Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $158,865 per year, or $76.4 per hour.

Robotics/Mechatronics Expert - Remote

YO AI Labs

Boston, MA โ€ข Remote

$80 - $100/hr

Full-time

Posted 10 days ago


Job description

Job Title: Robotics & Mechatronics AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Robotics and Mechatronics Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will apply your engineering knowledge to real-world robotics and mechatronics challenges while demonstrating how advanced AI coding agents can support complex technical workflows.

The ideal candidate combines hands-on expertise in robotics, mechatronics, system design, and engineering problem-solving with practical experience using AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork.

No prior experience in AI training is required—your domain expertise, technical judgment, and ability to apply AI agents to sophisticated engineering problems are what matter most.

Scope of Work
  • Analyze and solve practical robotics and mechatronics problems using advanced AI coding agents.
  • Design, implement, test, and document solutions to challenging technical scenarios involving robotics and mechatronic systems.
  • Demonstrate how AI agents can be applied to complex, ambiguous, or large-scale engineering problems.
  • Use AI coding agents for tasks such as navigating large codebases, debugging complex issues, developing features, and optimizing technical workflows.
  • Document agent-driven workflows, including the technical context, decisions, prompts or instructions, generated code sequences, iterations, and outcomes.
  • Evaluate AI-generated solutions for technical correctness, reliability, maintainability, and practical engineering relevance.
  • Provide structured written and verbal feedback on AI agent performance, usability, limitations, and effectiveness.
  • Contribute real-world examples involving end-to-end feature development, system design, architectural changes, debugging, and workflow automation.
  • Collaborate remotely with project stakeholders to identify opportunities for using AI agents to accelerate robotics and mechatronics development.
Required Skills
  • Robotics
  • Mechatronics
  • AI Coding Agents
  • Codex
  • Claude Science
  • Claude Code
  • Claude Cowork
  • System Design
  • Debugging Complex Codebases
  • End-to-End Feature Development
  • Technical Documentation
  • Problem-Solving
  • Written and Verbal Communication
  • Remote Collaboration
Preferred Qualifications
  • Current or recent professional experience in robotics, mechatronics, automation, controls, embedded systems, or a related STEM discipline.
  • Demonstrated hands-on experience with robotics or mechatronics projects involving software, hardware, control systems, sensors, actuators, or system integration.
  • Proven experience using Codex, Claude Science, Claude Code, and Claude Cowork to generate and execute multi-step code sequences for real-world engineering applications.
  • Experience applying AI coding agents beyond simple code generation, including debugging, system design, architecture, optimization, testing, and technical workflow automation.
  • Experience working with large or complex codebases and implementing end-to-end technical features.
  • Familiarity with major architectural changes, refactoring, system integration, and troubleshooting complex engineering software.
  • Ability to clearly document technical workflows and explain how AI agents contributed to engineering decisions and outcomes.
  • Strong written and verbal communication skills with the ability to communicate complex technical concepts clearly.
  • Experience working independently in remote, collaborative engineering environments.
  • Ability to provide concrete examples demonstrating how AI agentic workflows have improved technical problem-solving, development speed, or engineering productivity.