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Python Robotics Jobs in Nashville, TN (NOW HIRING)

Revecore

Senior AI Engineer

Franklin, TN · Remote

$53.25 - $68.75/hr

Integrate AI agents with enterprise systems via APIs and RPA-style interfaces (UI/DOM/vision-based ... Required Experience and Skills Candidates mustpossessadvancedproficiencyin Python, our primary ...

The EOSYS Group, Inc.

Ignition Engineer

Smyrna, TN

$76.90K - $102.60K/yr

... robotics, automotive assembly, hummus packaging, and even whiskey making. Based on your ... Skilled in Python, Jython, C#.NET, web technologies and SQL * Experience with Ignition Vision and ...

EOSYS Group

Ignition Engineer

Smyrna, TN · On-site

... robotics, automotive assembly, hummus packaging, and even whiskey making. Based on your ... Skilled in Python, Jython, C#.NET, web technologies and SQL * Experience with Ignition Vision and ...

DeAngelis Diamond

VDC Manager

Nashville, TN

$77.30K - $103.40K/yr

Implements Field Technology for project use, such as laser scanning, drones, and robotic total ... Dynamo, Python, and C# will be beneficial. * Training and education of VDC programs and processes.

Pwc

Google Cloud Architect - Senior Manager

Nashville, TN · On-site

$124K - $280K/yr

... and Robotics, Business Application Programming, Computer Applications, Computer and Information ... Python design and development - Skilled in Microservices REST API and Event Driven Design ...

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Python Robotics information

See Nashville, TN salary details

$12

$56

$83

How much do python robotics jobs pay per hour?

As of May 30, 2026, the average hourly pay for python robotics in Nashville, TN is $56.62, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $64.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Robotics Engineer, and why are they important?

To thrive as a Python Robotics Engineer, you need strong programming skills in Python, a solid understanding of robotics concepts, and often a degree in robotics, computer science, or engineering. Familiarity with robotics frameworks like ROS (Robot Operating System), simulation tools such as Gazebo, and experience with hardware integration are commonly required. Problem-solving, adaptability, and effective teamwork are essential soft skills that help address complex technical challenges and collaborate with interdisciplinary teams. These competencies enable the design, implementation, and optimization of robust robotic systems in a rapidly evolving field.

How do Python Robotics engineers typically collaborate with interdisciplinary teams during a project?

Python Robotics engineers often work closely with mechanical, electrical, and systems engineers to develop and integrate robotic solutions. They are responsible for writing and testing control algorithms in Python, as well as interfacing with hardware and simulation tools. Regular communication and joint problem-solving sessions are common, ensuring that software aligns with hardware capabilities and project requirements. This collaborative environment helps deliver robust, efficient robotic systems and offers exposure to various engineering domains.

What are Python Robotics jobs?

Python Robotics jobs involve designing, developing, and programming robotic systems using the Python programming language. Professionals in this field use Python to control robots, process sensor data, automate tasks, and integrate with hardware and software systems. These roles may be found in industries like manufacturing, healthcare, research, and autonomous vehicles. Typical responsibilities include writing code for robotic behavior, working with frameworks like ROS (Robot Operating System), and collaborating with engineers to build intelligent machines.

What is the difference between Python Robotics vs Robotics Software Engineer?

AspectPython RoboticsRobotics Software Engineer
Required CredentialsPython programming skills, robotics knowledge, possibly certifications in Python or roboticsProficiency in robotics software, programming skills (Python, C++), engineering degree often preferred
Work EnvironmentResearch labs, robotics companies, startups, often hands-on with hardware and softwareDevelopment teams, engineering departments, focus on software development for robotic systems
Industry UsageUsed in robotics research, automation projects, and hobbyist communitiesApplied in industrial automation, autonomous vehicles, and advanced robotics projects

Python Robotics typically refers to using Python programming in robotics applications, often in research or hobbyist settings. Robotics Software Engineers focus on developing and maintaining complex software systems for robotic hardware in professional environments. While both roles require programming skills and robotics knowledge, Python Robotics emphasizes scripting and experimentation, whereas Robotics Software Engineers work on scalable, production-level software solutions.

What are popular job titles related to Python Robotics jobs in Nashville, TN? For Python Robotics jobs in Nashville, TN, the most frequently searched job titles are:
What job categories do people searching Python Robotics jobs in Nashville, TN look for? The top searched job categories for Python Robotics jobs in Nashville, TN are:
What cities near Nashville, TN are hiring for Python Robotics jobs? Cities near Nashville, TN with the most Python Robotics job openings:
Python Robotics jobs near you

Data Scientist

Tao Digital Solutions, Inc.

Nashville, TN • On-site

$60K/yr

Full-time

Posted 27 days ago

Job description

Job Title : Data Scientist
Location : Hermitage, TN
Wage : $60,000
Job Duties :
  1. Data Acquisition, Cleaning & Preprocessing

    • Assist in collecting, validating, and preprocessing structured and unstructured datasets from internal and third-party financial systems.
    • Perform data quality checks, resolve anomalies, and maintain metadata using SQL, Python (Pandas), and Excel.

  1. Exploratory Data Analysis (EDA)

    • Conduct exploratory data analysis to identify trends, outliers, and correlations within financial and operational datasets.
    • Support the preparation of data summaries, distribution checks, and hypothesis validations.

  1. Automation & Data Pipeline Support

    • Assist in developing automation scripts and data pipelines using Python, Excel macros, and RPA tools (e.g., Blue Prism) to streamline data ingestion and transformation.
    • Support version control and CI/CD practices using Git repositories.

  1. Predictive Modeling & Forecasting

    • Support senior data scientists in building and validating statistical and machine learning models to forecast revenue trends, customer churn, or financial health.
    • Participate in refining time-series models and basic regressions using Python (Scikit-learn, StatsModels).

  1. Financial & Business Analysis

    • Contribute to financial modeling by evaluating key metrics (e.g., EBITDA, revenue growth, margins) and integrating external macroeconomic indicators into models.
    • Work alongside business analysts to align technical models with stakeholder requirements.

  1. Data Visualization & Dashboarding

    • Develop and maintain interactive dashboards using Tableau, Power BI, or Python (Matplotlib, Seaborn) to communicate insights to internal stakeholders.
    • Automate reporting templates and visualization tools for monthly and quarterly updates.

  1. Documentation & Compliance

    • Maintain comprehensive documentation for model assumptions, workflows, data dictionaries, and QA protocols.
    • Ensure data practices align with internal governance policies and industry regulations (e.g., GDPR, SOX).

  1. Collaboration & Communication

    • Work closely with cross-functional teams including finance, data engineering, and business strategy teams to align analytical efforts with organizational goals.
    • Participate in sprint meetings and contribute to shared knowledge repositories.

  1. Model Monitoring & Feedback Loops

    • Assist in tracking model performance and accuracy post-deployment using standard KPIs (e.g., RMSE, MAE).
    • Help integrate user feedback and error analysis into model retraining cycles.

  1. Professional Development

    • Attend internal workshops and training sessions on data science tools and methodologies.
    • Stay informed of advancements in machine learning, financial modeling, and analytics platforms.

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