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Autonomous Robot Jobs in Missouri (NOW HIRING)

Robotics Tutor

Columbia, MO Β· Remote

$40/hr

Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides students through building mechanical structures, wiring electronic circuits, programming ...

Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides students through building mechanical structures, wiring electronic circuits, programming ...

Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides students through building mechanical structures, wiring electronic circuits, programming ...

MP) is rebuilding American industrial capability for a new era of autonomy, robotics, and electrification. We are the only U.S. company with a fully integrated rare earth supply chain--from mining ...

Principal Software Engineer

California, MO Β· On-site

$120K - $162K/yr

Experience with UAS, drones, robotics, autonomous vehicles, or other embedded systems * Experience with CI/CD pipelines (Gitlab or similar) * Android/Linux application development experience

Talent Acquisition Manager

California, MO Β· On-site

$120K - $135K/yr

MP) is rebuilding American industrial capability for a new era of autonomy, robotics, and electrification. We are the only U.S. company with a fully integrated rare earth supply chain--from mining ...

Human Resources Manager

California, MO Β· On-site

$120K - $135K/yr

MP) is rebuilding American industrial capability for a new era of autonomy, robotics, and electrification. We are the only U.S. company with a fully integrated rare earth supply chain--from mining ...

Quality Engineer (ONSITE)

California, MO Β· On-site

$120K - $150K/yr

MP) is rebuilding American industrial capability for a new era of autonomy, robotics, and electrification. We are the only U.S. company with a fully integrated rare earth supply chain--from mining ...

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Autonomous Robot information

What are autonomous robots?

Autonomous robots are machines capable of performing tasks and making decisions without direct human intervention. They use sensors, software, and artificial intelligence to perceive their environment, process information, and act on their own. These robots are commonly used in industries such as manufacturing, logistics, healthcare, and even in homes for tasks like cleaning. Their level of autonomy can vary, from simple programmed routines to complex behaviors that adapt to changing circumstances. The goal of autonomous robots is to increase efficiency, reduce human labor, and perform tasks that may be dangerous or repetitive for people.

What are some common challenges faced by engineers working on autonomous robot development teams?

Engineers working on autonomous robot development teams often encounter challenges such as integrating complex hardware and software systems, ensuring reliable sensor data interpretation, and maintaining robust performance in unpredictable real-world environments. Collaboration is key, as teams typically include specialists in areas like perception, navigation, and mechanical design. Clear communication and agile problem-solving are essential, especially when troubleshooting issues that arise during field testing or adapting to new use cases.

What are the key skills and qualifications needed to thrive as an autonomous robot engineer, and why are they important?

To thrive as an Autonomous Robot Engineer, you need expertise in robotics, computer vision, artificial intelligence, and a solid background in engineering or computer science. Familiarity with technical tools such as ROS (Robot Operating System), sensor integration, and programming languages like Python or C++ is essential, along with relevant certifications or advanced degrees. Strong problem-solving, teamwork, and communication skills help engineers collaborate effectively and innovate solutions to complex challenges. These skills ensure the development, deployment, and maintenance of reliable autonomous robotic systems in real-world environments.

What is the difference between Autonomous Robot vs Robot Technician?

AspectAutonomous RobotRobot Technician
Required CredentialsEngineering degree or technical certification in robotics or automationTechnical diploma or certification in robotics, electronics, or maintenance
Work EnvironmentOperates independently in manufacturing, logistics, or field settingsMaintains, repairs, and installs robots in industrial or commercial facilities
Industry UsageDesigns and deploys autonomous systems in various sectorsSupports and services robotic equipment used in industry

Autonomous Robots are designed to operate independently, often requiring advanced engineering knowledge, while Robot Technicians focus on maintaining and repairing robotic systems. Both roles are essential in robotics industries but differ in responsibilities and skill requirements.

What are popular job titles related to Autonomous Robot jobs in Missouri?

For Autonomous Robot jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Autonomous Robot jobs in Missouri look for?

The top searched job categories for Autonomous Robot jobs in Missouri are:

Infographic showing various Autonomous Robot job openings in Missouri as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 9% Part Time, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Boston Dynamics Spot Robotics Specialist

Saint Louis, MO β€’ Hybrid

Levi, Ray, & Shoup, Inc.
IT ServicesΒ β€’Β 501 - 1,000 employees

$90 - $130/hr

Contractor

Posted 17 days ago


Job description

Boston Dynamics Spot Robotics Specialist

St. Louis, MO (Hybrid, 3 Days Onsite / 2 Days Remote) | Contract

Position Summary

LRS Consulting Services is seeking a Boston Dynamics Spot Robotics Specialist for a contract opportunity in St. Louis, MO. You'll be embedded in an innovation team building out a robotics and applied AI program spanning autonomous robot deployment, computer vision, predictive maintenance, and grid-edge technologies. This is hands-on work. You'll program and deploy Spot robots in the field, build and validate ML models from real-world sensor data, and iterate based on what actually happens when the robot meets the infrastructure. If you want to work on cutting-edge robotics and AI that operates in the physical world, not just in a lab, this is the role.

What You Will Do

  • Program, configure, and extend autonomous behaviors for Boston Dynamics Spot, including custom missions and sensor payload integration
  • Develop and validate machine learning models for defect detection, predictive maintenance, and anomaly detection from field-collected imagery and sensor data
  • Build and refine vision-language model (VLM) and RAG-based compliance auditing pipelines
  • Collaborate on data pipelines connecting robotic sensing, fiber optic sensing, and SCADA/IEC 61850 systems for real-time monitoring
  • Conduct field trials across electric and gas infrastructure, troubleshoot hardware/software issues on-site, and iterate based on real-world performance
  • Document technical approaches and communicate findings to both technical and executive stakeholders

Required Qualifications

  • Experience with Boston Dynamics Spot (Spot SDK) or other legged/mobile robotics platforms
  • Experience with computer vision, VLM, or LLM-based systems deployed in production or field settings
  • Proficiency in Python and ML frameworks (PyTorch or TensorFlow)
  • Experience with edge computing and embedded deployment (NVIDIA Jetson, DGX, or similar)
  • Experience with RAG architectures, prompt engineering, and model evaluation
  • Strong written and verbal communication skills
  • Third party candidates will not be considered
  • Sponsorship is not available - candidates must have permanent authorization to work in the United States

Preferred Qualifications

  • Experience deploying robotics or autonomous inspection systems in utility, energy, or industrial infrastructure environments
  • Familiarity with SCADA systems, IEC 61850, or grid-edge technologies
  • Experience with fiber optic sensing or distributed sensor networks
  • Background in predictive maintenance or asset inspection programs

The base range for this contract position is $90 - $130 per hour, depending on experience.

Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status.

In some cases, LRS Consulting uses generative artificial intelligence ("AI") in support of our hiring processes. LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact with any questions.