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Added Aug 26, 2026 Boston Dynamics Spot Robotics Specialist (46326) St. Louis, MO | Contract Apply (https://evoportalus.tracker-rms.com/LRS/apply?jobcode=46326&shownonlrs=True)

For additional information on how we handle your data, seewww.LRS.com/privacy

What to do if you suspect fraud:

If you receive a suspicious offer or communication claiming to be from us, do not share any personal or financial information. You can notify us using our contact page atContact Levi, Ray & Shoup, Inc (https://www.lrs.com/contact/) .

IMPORTANT NOTES:

+ All legitimate correspondence from our recruiting team will only come from an email address ending in @lrs.com. We do not use generic domains like @gmail.com, @yahoo.com, or @outlook.com.

+ Weneverconduct interviews solely via text-based chat on Microsoft Teams, Telegram, or WhatsApp. All virtual interviews involve a scheduled video or phone call with a member of our team.

+ LRS willneverask a candidate for payment, fees, or to purchase equipment (e.g., laptops, software) as a condition of employment.

+ All genuine job opportunities are listed directly on our official careers portal atCareers (https://jobs.lrs.com/) .

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 contactAI.Questions@lrs.comwith any questions.

What to do if you suspect fraud:

If you receive a suspicious offer or communication claiming to be from us, do not share any personal or financial information. You can notify us using our contact page atContact Levi, Ray & Shoup, Inc (https://www.lrs.com/contact/) .

IMPORTANT NOTES:

+ All legitimate correspondence from our recruiting team will only come from an email address ending in @lrs.com. We do not use generic domains like @gmail.com, @yahoo.com, or @outlook.com.

+ Weneverconduct interviews solely via text-based chat on Microsoft Teams, Telegram, or WhatsApp. All virtual interviews involve a scheduled video or phone call with a member of our team.

+ LRS willneverask a candidate for payment, fees, or to purchase equipment (e.g., laptops, software) as a condition of employment.

+ All genuine job opportunities are listed directly on our official careers portal atCareers (https://jobs.lrs.com/) .

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