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Python Robotics Jobs in League City, TX (NOW HIRING)

Good working knowledge of C, C++, and Python. * Excellent written and verbal communication skills ... Our specialties include robotics automation, embedded systems, hardware/software integration ...

... RPA, systems integration, AI Agents, or Agentic AI solutions * Strong understanding of APIs, JSON, webhooks, authentication, system integrations, and workflow design * Experience using Python ...

... RPA, systems integration, AI Agents, or Agentic AI solutions * Strong understanding of APIs, JSON, webhooks, authentication, system integrations, and workflow design * Experience using Python ...

Commissioning of automation & robotic cells * Setting up and tuning various control systems which ... MATLAB, C/C++, Python, Java, JavaScriptBuilding mechatronic systems composed of sensors, actuators ...

Good working knowledge of C, C++, and Python. * Excellent written and verbal communication skills ... Our specialties include robotics automation, embedded systems, hardware/software integration ...

Integration Engineer

Houston, TX · On-site

$99K - $133K/yr

Experience with at least one RPA or workflow automation platform. * Proficiency with SQL and programming languages such as Python or R. * Familiarity with AWS, Microsoft Azure, or Google Cloud ...

Proficiency in C/C++ and Python for scientific computing, simulation development, and analysis ... Experience in aerospace, robotics, off-road vehicle dynamics, or related terrain-interaction ...

Showing results 41-60

Python Robotics information

See League City, TX salary details

$11

$50

$73

How much do python robotics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for python robotics in League City, TX is $50.21, according to ZipRecruiter salary data. Most workers in this role earn between $41.39 and $57.02 per hour, depending on experience, location, and employer.

What is a Python Robotics job?

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.

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 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 the key skills and qualifications needed to thrive as a Python Robotics engineer?

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.
What are popular job titles related to Python Robotics jobs in League City, TX? For Python Robotics jobs in League City, TX, the most frequently searched job titles are:
What cities near League City, TX are hiring for Python Robotics jobs? Cities near League City, TX with the most Python Robotics job openings:
Infographic showing various Python Robotics job openings in League City, TX as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $104,446 per year, or $50.2 per hour.

Senior Software Engineer, Simulation Systems

Bot Auto

Houston, TX • On-site

Full-time

Re-posted 3 days ago


Job description

Job Summary:
Bot Auto is focused on developing the next generation of autonomous trucking technology. They are seeking a Senior Software Engineer to build high-performance simulation systems for autonomous vehicle development, collaborating across teams to enhance testing and validation workflows.
Responsibilities:
• Design and develop high-performance simulation infrastructure for autonomous vehicle development and validation
• Build scalable systems for scenario generation, simulation execution, and evaluation
• Develop simulation tooling used by Perception, Prediction, Planning, and Controls teams
• Improve simulation realism, scalability, and operational efficiency
• Collaborate across teams to support testing, validation, and development workflows
• Build infrastructure supporting reinforcement learning and closed-loop evaluation workflows
• Develop systems for synthetic data generation and automated scenario creation
• Collaborate with ML engineers and researchers to integrate learned models into simulation environments
• Explore emerging approaches in world modeling, agent simulation, and Physical AI
• Write production-quality C++ and Python code
• Participate in architecture and technical design discussions
• Build reliable, maintainable, and well-tested systems
• Contribute to code reviews and engineering best practices
• Create clear technical documentation for systems and tools
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field
• 3+ years of professional software development experience
• Strong expertise in modern C++ (C++17 or newer preferred)
• Experience designing and developing production software systems
• Strong understanding of: Multithreading and concurrency, Memory management, Performance optimization, Software architecture and system design
• Experience working with simulation, robotics, gaming, or autonomous systems
Preferred:
• Experience with simulation platforms such as: CARLA, Isaac Sim, Unreal Engine
• Familiarity with reinforcement learning concepts and workflows
• Experience with agent-based simulation or closed-loop simulation systems
• Experience building synthetic data generation pipelines
• Experience with ROS or ROS2
• Experience with cloud-native infrastructure such as Docker, Kubernetes, AWS, or GCP
• Familiarity with machine learning infrastructure and large-scale data processing systems
Company:
Transforming American Transportation with Autonomous Trucks Founded in 2023, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.