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Junior Robotics Engineer Remote Jobs in Minnesota

Enel Group

$161K - $242K/yr

Project Management, Procurement, M&A / BD (for technical assessments) • Mentor and guide junior engineers and external consultants What you will bring • Bachelor's degree in Electrical ...

BHI Energy

Solar Engineer

Minneapolis, MN · On-site +1

Remote -must live near one of the locations listed below Locations: Bloomington, MN Geotechnical ... Review engineering analyses and reports prepared by junior level engineering staff. * Perform ...

BHI Energy

Sr. Wind Engineer

Minneapolis, MN · On-site +1

$109K - $149K/yr

Remote -must live near one of the locations listed below * Bloomington, MN * Geotechnical/Civil ... Review engineering analyses and reports prepared by junior level engineering staff. * Perform ...

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Junior Robotics Engineer Remote information

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

AspectJunior Robotics Engineer RemoteJunior Automation Engineer
Required CredentialsBachelor's in Robotics, Mechanical, or Electrical Engineering; some certificationsBachelor's in Automation, Electrical, or Mechanical Engineering; relevant certifications
Work EnvironmentRemote, collaborative teams, engineering labsRemote or on-site, industrial or manufacturing settings
Industry UsageRobotics development, research, and product designManufacturing, process automation, industrial systems
Search & Comparison IntentJob roles involving robotics design and programmingAutomation system development and integration

The main difference between Junior Robotics Engineer Remote and Junior Automation Engineer lies in their focus areas. Robotics engineers primarily work on designing and programming robots, often in research or product development, while automation engineers focus on streamlining manufacturing processes. Both roles require similar educational backgrounds and certifications, but their work environments and industry applications differ slightly, catering to distinct career paths within engineering.

What is a junior robotics engineer?

A Junior Robotics Engineer is an entry-level professional who assists in designing, building, and testing robots and robotic systems. In a remote role, they often collaborate with teams online to develop software, simulate robotic processes, and troubleshoot issues using digital tools. Their responsibilities may include coding, documentation, and participating in virtual meetings to support ongoing projects. While hands-on hardware work is sometimes limited remotely, they focus on software development, simulations, and remote diagnostics. This role is ideal for recent graduates or those new to robotics, offering valuable experience in the growing field of automation.

What are some typical challenges faced by a junior robotics engineer remote, and how can they be overcome?

As a Junior Robotics Engineer working remotely, you may encounter challenges such as limited access to physical hardware, coordinating hands-on testing, and collaborating effectively with team members across different locations. To overcome these, it's helpful to leverage simulation tools, maintain clear communication with your team via regular video calls or messaging platforms, and proactively seek feedback on your designs and code. Building strong relationships with mentors and peers, as well as staying organized with project management tools, can help ensure you stay productive and connected despite the remote setup.

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

To thrive as a Junior Robotics Engineer (Remote), you need a solid background in mechanical or electrical engineering, programming (often in C++ or Python), and a relevant degree in robotics or a related field. Familiarity with robotics frameworks like ROS, simulation tools such as Gazebo, and basic hardware prototyping is typically required. Strong problem-solving, effective remote communication, and a proactive learning attitude are standout soft skills. These abilities ensure successful contribution to complex robotics projects, seamless collaboration with distributed teams, and ongoing technical growth in a fast-evolving industry.
What are popular job titles related to Junior Robotics Engineer Remote jobs in Minnesota? For Junior Robotics Engineer Remote jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Junior Robotics Engineer Remote jobs in Minnesota look for? The top searched job categories for Junior Robotics Engineer Remote jobs in Minnesota are:
What cities in Minnesota are hiring for Junior Robotics Engineer Remote jobs? Cities in Minnesota with the most Junior Robotics Engineer Remote job openings:
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Infographic showing various Junior Robotics Engineer Remote job openings in Minnesota as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester, MN • Remote

Full-time

Re-posted 17 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