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Remote Robotic Simulation Engineer Jobs in Massachusetts

SES

Computational Materials Scientist

Woburn, MA · On-site +1

$180K - $200K/yr

... robotics, and drones . To learn more about us, please visit: www.ses.ai What We Offer: * A highly ... Engineering, or a closely related computational/physics field. * Core Simulation Expertise: Deep ...

Motional

Perception Engineer

Boston, MA · On-site +1

$165K - $197K/yr

N322 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Connect/drive project-level impact ... Requires Bachelor's or higher in Computer Science, Electrical Engineering, Robotics, or or a ...

New

Motional

Senior Engineer

Boston, MA · Remote

$190K - $244K/yr

Ref. No. N270 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Design, implement, and test ... Three years of experience in software development for autonomous robotics. * Experience must ...

Motional

Senior Engineer

Boston, MA · On-site +1

$200K - $241K/yr

No. N266 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Develop algorithms on planning ... Requires Bachelor's degree or higher in Robotics, Computer Science, Computer Engineering ...

Motional

Senior Engineer

Boston, MA · Remote

$200K - $241K/yr

No. N266 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Develop algorithms on planning ... Requires Bachelor's degree or higher in Robotics, Computer Science, Computer Engineering ...

Motional

Senior Engineer

Boston, MA · On-site +1

$190K - $244K/yr

Ref. No. N270 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Design, implement, and test ... Three years of experience in software development for autonomous robotics. * Experience must ...

Motional

Perception Engineer

Boston, MA · Remote

$165K - $197K/yr

N322 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Connect/drive project-level impact ... Requires Bachelor's or higher in Computer Science, Electrical Engineering, Robotics, or or a ...

New

Motional

Staff Engineer

Boston, MA · On-site +1

$205K - $272K/yr

Collaborate with perception, simulation, data platform and integration teams to validate and ... or robotics * Advanced knowledge of software engineering principles including software design ...

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Remote Robotic Simulation Engineer information

How does a remote robotic simulation engineer typically collaborate with cross-functional teams during project development?

As a Remote Robotic Simulation Engineer, you will work closely with mechanical, electrical, and software engineering teams to ensure accurate virtual representations of robotic systems. Collaboration often involves regular video meetings, shared simulation files, and joint troubleshooting sessions to validate robotic behaviors before deployment. Clear communication skills and familiarity with collaborative platforms are essential, as feedback and updates are exchanged frequently to meet project milestones. This remote structure allows for flexible work arrangements but also demands proactive engagement to stay aligned with team goals.

What is a remote robotic simulation engineer?

A Remote Robotic Simulation Engineer is a professional who designs, develops, and tests virtual models of robotic systems using simulation software, often while working from a remote location. Their work helps predict and improve the performance of robots before they are physically built, reducing costs and development time. These engineers collaborate with multidisciplinary teams to refine robot behaviors in simulated environments and may also troubleshoot or optimize robot algorithms. The role often requires strong skills in robotics, computer programming, and simulation tools like ROS, Gazebo, or MATLAB. Working remotely, they leverage digital communication tools to stay connected with their teams and projects.

What are the key skills and qualifications needed to thrive as a remote robotic simulation engineer, and why are they important?

To thrive as a Remote Robotic Simulation Engineer, you need a solid background in robotics, computer science, and engineering, often supported by a bachelor’s or master’s degree in a related field. Proficiency with simulation software such as Gazebo or ROS, familiarity with programming languages like Python or C++, and experience with 3D modeling tools are typically required. Strong problem-solving abilities, communication skills, and self-motivation are crucial for excelling in remote and collaborative environments. These skills ensure precise development, effective troubleshooting, and successful integration of robotic systems in virtual settings.

What is the difference between Remote Robotic Simulation Engineer vs Remote Robotics Software Developer?

AspectRemote Robotic Simulation EngineerRemote Robotics Software Developer
CredentialsBachelor's or higher in Robotics, Mechanical, or Electrical Engineering; experience with simulation toolsBachelor's or higher in Computer Science, Robotics, or related field; programming skills
Work EnvironmentPrimarily uses simulation platforms like Gazebo, V-REP; collaborates with engineers and researchersFocuses on developing robotics software, algorithms, and control systems; often involves coding and testing
Industry UsageCommon in research, testing, and validation of robotic systemsUsed in software development for robotics applications, automation, and product deployment

The main difference is that Remote Robotic Simulation Engineers focus on creating and testing virtual models of robots using simulation tools, while Remote Robotics Software Developers primarily write and optimize software for robotic systems. Both roles require programming skills and industry knowledge but serve different stages of robotic development.

What are the most commonly searched types of Robotic Simulation Engineer jobs in Massachusetts? The most popular types of Robotic Simulation Engineer jobs in Massachusetts are:
What are popular job titles related to Remote Robotic Simulation Engineer jobs in Massachusetts? For Remote Robotic Simulation Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Robotic Simulation Engineer jobs in Massachusetts look for? The top searched job categories for Remote Robotic Simulation Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Robotic Simulation Engineer jobs? Cities in Massachusetts with the most Remote Robotic Simulation Engineer job openings:
Remote Robotic Simulation Engineer jobs near you
Infographic showing various Remote Robotic Simulation Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Worcester, MA • Remote

Full-time

Re-posted 16 days ago

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