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Remote Mechanical Engineer Robotics Jobs in Michigan

Ford Motor Company

Software Test Engineer

Dearborn, MI · On-site +1

$102K - $204K/yr

... Mechanical Engineering, Electronic Engineering or related field and 2 years of experience in the ... 5. Remote Vehicle telemetry APIs. 6. Connected vehicle diagnostics including OBD-II, CAN, IP ...

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Remote Mechanical Engineer Robotics information

What does a remote mechanical engineer in robotics do?

A Remote Mechanical Engineer in Robotics designs, analyzes, and improves the mechanical systems and components of robots while working from a remote location. They use CAD software to create models, collaborate with cross-functional teams, and help ensure that robotic systems are efficient, reliable, and meet project requirements. This role often involves problem-solving, prototyping, and coordinating with electrical and software engineers to deliver fully integrated robotic solutions.

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

To thrive as a Remote Mechanical Engineer in Robotics, you need a solid background in mechanical engineering principles, robotics design, and a relevant degree such as a BS or MS in Mechanical Engineering. Familiarity with CAD software (like SolidWorks or AutoCAD), simulation tools, and experience with prototyping and robotics hardware are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate virtually are standout soft skills for this remote role. These skills and qualities ensure innovative, precise robotics designs and smooth teamwork despite geographical distance.

How do remote mechanical engineers in robotics collaborate effectively with cross-functional teams?

Remote mechanical engineers in robotics often work closely with electrical engineers, software developers, and project managers to design and refine robotic systems. Collaboration is facilitated through regular video meetings, shared digital platforms (like CAD software and project management tools), and clear documentation. While remote work offers flexibility, it also requires proactive communication to stay aligned on design changes and project milestones. Successful remote engineers are comfortable using collaboration technologies and are adept at sharing updates and troubleshooting issues with teammates across different locations.

What is the difference between Remote Mechanical Engineer Robotics vs Remote Mechanical Engineer Automation?

AspectRemote Mechanical Engineer RoboticsRemote Mechanical Engineer Automation
Required CredentialsBachelor's in Mechanical Engineering, knowledge of robotics systems, programming skillsBachelor's in Mechanical Engineering, understanding of automation processes, control systems knowledge
Work EnvironmentDesigning and testing robotic systems, software integration, virtual collaborationDeveloping automated machinery, process optimization, remote troubleshooting
Employer & Industry UsageRobotics companies, manufacturing, research labsManufacturing, industrial automation, process industries
Search & Comparison IntentYesYes

Both roles involve mechanical engineering skills but focus on different applications. Remote Mechanical Engineer Robotics specializes in designing and developing robotic systems, while Remote Mechanical Engineer Automation focuses on automating industrial processes. Understanding these distinctions helps job seekers target the right roles based on their expertise and interests.

What are the most commonly searched types of Mechanical Engineer Robotics jobs in Michigan?

The most popular types of Mechanical Engineer Robotics jobs in Michigan are:

What are popular job titles related to Remote Mechanical Engineer Robotics jobs in Michigan?

For Remote Mechanical Engineer Robotics jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Mechanical Engineer Robotics jobs in Michigan look for?

The top searched job categories for Remote Mechanical Engineer Robotics jobs in Michigan are:

What cities in Michigan are hiring for Remote Mechanical Engineer Robotics jobs?

Cities in Michigan with the most Remote Mechanical Engineer Robotics job openings:

Remote Mechanical Engineer Robotics jobs near you
Infographic showing various Remote Mechanical Engineer Robotics job openings in Michigan as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Detroit, MI • Remote

Full-time

Re-posted 15 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