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Robotics Software Engineer Remote Jobs in Massachusetts

AI Engineer - Remote

Boston, MA ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Senior Software Engineer

Burlington, MA ยท On-site +1

$133K - $175K/yr

This is a key engineering role on a deeply technical team building the most capable runway ... Experience deploying mission-critical software for robotics or aerospace platforms * Must be ...

Senior Software Engineer

Burlington, MA ยท On-site +1

$133K - $175K/yr

This is a key engineering role on a deeply technical team building the most capable runway ... Experience deploying mission-critical software for robotics or aerospace platforms * Must be ...

Senior Software Engineer

Burlington, MA ยท On-site +1

$133K - $175K/yr

This is a key engineering role on a deeply technical team building the most capable runway ... Experience deploying mission-critical software for robotics or aerospace platforms * Must be ...

$130K - $175K/yr

About you You are a versatile software engineer with a passion for aviation, robotics, and autonomous systems. You are comfortable working across technical domains, from perception and understanding ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Backend Engineer - Remote

Boston, MA ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Backend Engineer - Remote

Boston, MA ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Showing results 21-40

Robotics Software Engineer Remote information

What does a robotics software engineer do in a remote role?

A Robotics Software Engineer working remotely designs, develops, and maintains software that controls robotic systems. This may include programming robot behaviors, integrating sensors, working with simulation environments, and troubleshooting software issues. Remote engineers often collaborate with teams using online communication tools, and may test code through simulators or by connecting to physical robots at a distance. Strong skills in programming languages like C++ or Python and familiarity with robotics frameworks such as ROS (Robot Operating System) are typically required.

What are the key skills and qualifications needed to thrive as a robotics software engineer remote?

To thrive as a Robotics Software Engineer working remotely, you need expertise in programming languages like C++ and Python, a background in robotics or computer engineering, and preferably a relevant degree. Familiarity with ROS (Robot Operating System), simulation tools such as Gazebo, and version control systems like Git are commonly required, along with experience in cloud collaboration platforms. Strong problem-solving abilities, self-motivation, and clear communication skills help you excel in distributed teams and manage complex projects independently. These skills and qualities are crucial to develop, test, and deploy robust robotics solutions efficiently while collaborating virtually with multidisciplinary teams.

How do robotics software engineers typically collaborate with hardware teams in a remote work environment?

Robotics Software Engineers working remotely often use a combination of virtual meetings, collaborative platforms, and remote access tools to coordinate with hardware teams. Regular video conferences and shared documentation ensure alignment on integration points, testing schedules, and system requirements. Engineers may also use simulation environments to test code before deploying it to physical hardware, reducing the need for constant onsite presence. Effective communication and clear documentation are essential to overcome the challenges of working with physical devices from a distance.

What are the most commonly searched types of Robotics Software Engineer jobs in Massachusetts?

The most popular types of Robotics Software Engineer jobs in Massachusetts are:

What are popular job titles related to Robotics Software Engineer Remote jobs in Massachusetts?

For Robotics Software Engineer Remote jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Robotics Software Engineer Remote jobs in Massachusetts look for?

The top searched job categories for Robotics Software Engineer Remote jobs in Massachusetts are:

What cities in Massachusetts are hiring for Robotics Software Engineer Remote jobs?

Cities in Massachusetts with the most Robotics Software Engineer Remote job openings:

Infographic showing various Robotics Software Engineer Remote job openings in Massachusetts as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

AI Engineer - Remote

Boston, MA โ€ข Remote

$80 - $120/hr

Full-time

Posted 19 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.