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Robotics Engineer Jobs in Lansing, MI (NOW HIRING)

Invio Automation

Tool Builder

Lansing, MI · On-site

DESCRIPTION A Tool Builder applies mechanical expertise to build, test, and debug robotic systems and custom automation equipment in accordance with engineering specifications. This role requires the ...

Invio Automation

Tool Builder

Lansing, MI · On-site

DESCRIPTION A Tool Builder applies mechanical expertise to build, test, and debug robotic systems and custom automation equipment in accordance with engineering specifications. This role requires the ...

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All JobsRobotics Engineer JobsRobotics Engineer Jobs in Lansing, MI

Robotics Engineer information

See Lansing, MI salary details

$29.4K

$107.1K

$171.4K

How much do robotics engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for robotics engineer in Lansing, MI is $107,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,700.00 and $128,800.00 per year, depending on experience, location, and employer.

What does a robotics engineer do?

A Robotics Engineer designs, builds, and tests robots and robotic systems that are able to perform tasks typically done by humans. They work on integrating hardware and software to create machines that can automate processes in industries such as manufacturing, healthcare, and logistics. Their responsibilities often include researching new technologies, programming robotic systems, troubleshooting issues, and collaborating with other engineers. Robotics Engineers play a key role in advancing automation and improving efficiency and safety in various sectors.

What does a robotics engineer do?

A robotics engineer designs and often builds robots from their plans and ensures the correct processes are in place for the robot to run properly. They work with their clients to determine costs and design specifications, then they design software systems to control robotic systems; build, configure, and test robots; and automate processes to increase production and precision. Once the robotic system is in place, the robotics engineer helps troubleshoot any problems the clients have with the system.

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

To thrive as a Robotics Engineer, you need a strong background in mechanical engineering, electrical engineering, and computer science, typically backed by a relevant bachelor's or master's degree. Familiarity with programming languages like Python or C++, CAD software, and robotics platforms such as ROS (Robot Operating System) is essential. Problem-solving skills, creativity, and effective teamwork are standout soft skills in this field. These competencies are crucial for designing, building, and refining innovative robotic systems that meet complex technical and user requirements.

What types of projects do robotics engineers typically collaborate on with cross-functional teams?

Robotics Engineers often work closely with professionals from software development, mechanical engineering, and electrical engineering to design, build, and test robotic systems. Projects can range from automating manufacturing processes to developing autonomous vehicles or medical robots. Collaboration is essential, as engineers must integrate hardware and software components while ensuring systems meet safety and performance standards. Effective communication and teamwork are key to successfully bringing innovative robotics solutions from concept to reality.

What is the difference between Robotics Engineer vs Mechanical Engineer?

AspectRobotics EngineerMechanical Engineer
Required CredentialsBachelor's in Robotics, Mechanical, Electrical Engineering or related field; certifications in robotics or automationBachelor's in Mechanical Engineering; Professional Engineer (PE) license optional
Work EnvironmentDesigning, testing, and programming robotic systems in labs or manufacturing settingsDesigning and analyzing mechanical systems in various industries, including manufacturing, automotive, aerospace
Industry UsageRobotics companies, automation firms, manufacturingManufacturing, automotive, aerospace, product design

Robotics Engineers focus on designing and developing robotic systems, combining knowledge of mechanical, electrical, and software engineering. Mechanical Engineers have a broader scope, working on mechanical systems across multiple industries. While both roles require engineering degrees, Robotics Engineers often need specialized skills in programming and automation. The choice depends on your interest in robotics and automation versus general mechanical system design.

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Robotics Engineer jobs near you
Infographic showing various Robotics Engineer job openings in Lansing, MI as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $107,112 per year, or $51.5 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Lansing, MI • On-site

Other

Re-posted 23 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