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Robotics Software Engineer Remote Jobs in Massachusetts

Ascend Learning

Sr Software Engineer

Burlington, MA · On-site +1

$133K - $175K/yr

Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ... WHAT YOU'LL DO As a Senior Software Engineer in the Healthcare Workforce Solutions (HWS) group, you ...

STR

Senior Software Engineer

Woburn, MA · On-site +1

$134K - $184K/yr

STR is hiring a Senior Software Engineer to be part of a multi-disciplinary team that transforms ... Experience with algorithm optimization for real time systems, especially radar or remote sensing ...

Redhat

Senior Software Engineer

Lowell, MA · On-site +1

$118K - $195K/yr

As a Senior Software Engineer, your main focus will be on designing, developing, testing and ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Redhat

Software Engineer

Boston, MA · On-site +1

$110K - $177K/yr

... software development lifecycle, driving continuous improvement and innovation in engineering ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Tive Inc

Senior Software Engineer

Boston, MA · Remote

$133K - $175K/yr

As a Senior Software Engineer at Tive, you will mentor a team of full stack software engineers ... You will work to build strong relationships with and support co-workers, including remote peers in ...

BitSight

Software Engineer

Boston, MA · On-site +1

Over 750 teammates are dispersed throughout Boston, Raleigh, New York, Lisbon, Singapore, and remote Bitsight is looking for a motivated Software Engineer to join our Big Data engineering team. We ...

Redhat

Senior Software Engineer

Boston, MA · On-site +1

$178K - $225K/yr

Analyze software features developed or bugs fixed in software and coordinate with other programmers ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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All JobsRobotics Software Engineer Remote JobsRobotics Software Engineer Remote Jobs in Massachusetts

Robotics Software Engineer Remote information

See Massachusetts salary details

$65.5K

$136K

$195.5K

How much do robotics software engineer remote jobs pay per year?

As of Jun 22, 2026, the average yearly pay for robotics software engineer remote in Massachusetts is $135,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,600.00 and $166,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Robotics Software Engineer (Remote), and why are they important?

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 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.
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Robotics Software Engineer Remote jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

North Dartmouth, MA • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply