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Internship Robotics Control Jobs in Houston, TX (NOW HIRING)

Vitesse Systems

Electrical Engineer

Webster, TX · On-site

$76K - $145K/yr

... or PCBs (internship and project team experience is applicable) * Level II: * 5+ years of ... Experience modeling electro-mechanical systems, preferably for motor control or robotic actuator ...

CIVCO Engineering, Inc.

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Professional Land Surveyor (PLS)

Houston, TX · On-site

$55K - $85K/yr

Perform quality assurance and quality control (QA/QC) reviews of survey calculations, mapping, and ... Operate or supervise the use of GPS/GNSS, robotic total stations, digital levels, UAV/drone mapping ...

CIVCO Engineering, Inc.

Be Seen First

Professional Land Surveyor (PLS)

Houston, TX · On-site

$55K - $85K/yr

Perform quality assurance and quality control (QA/QC) reviews of survey calculations, mapping, and ... Operate or supervise the use of GPS/GNSS, robotic total stations, digital levels, UAV/drone mapping ...

Borusan Mannesman

Automation Engineer

Baytown, TX · On-site

... robotics, and manufacturing automation. The position works directly on the production floor ... internships/co-ops in manufacturing strongly preferred) 1.3. Basic understanding of PLCs and ...

All JobsRobotics Control JobsInternship Robotics Control JobsInternship Robotics Control Jobs in Houston, TX

Internship Robotics Control information

See Houston, TX salary details

$8

$16

$22

How much do internship robotics control jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for internship robotics control in Houston, TX is $16.53, according to ZipRecruiter salary data. Most workers in this role earn between $13.75 and $18.37 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Robotics Control, and why are they important?

To thrive in an Internship Robotics Control position, you generally need a background in engineering or computer science and foundational knowledge of robotics, control systems, and programming languages such as Python or C++. Familiarity with tools and environments like ROS (Robot Operating System), MATLAB/Simulink, and microcontroller platforms is typically required. Strong problem-solving skills, eagerness to learn, and effective teamwork set exceptional interns apart in this field. These skills and qualities are crucial for successfully contributing to robotics projects, adapting to new technologies, and collaborating on innovative solutions.

What types of projects and responsibilities can I expect during an Internship in Robotics Control?

As an intern in Robotics Control, you will typically work on projects involving the programming, testing, and optimization of robotic systems. Responsibilities often include assisting with algorithm development, calibrating sensors and actuators, and supporting troubleshooting efforts for hardware and software issues. You may collaborate closely with engineers, research scientists, and other interns, contributing to real-time control experiments, data analysis, and documentation tasks. This hands-on experience provides valuable exposure to the robotics workflow and offers opportunities to develop both technical and teamwork skills in a collaborative environment.

What are Internship Robotics Control positions?

Internship Robotics Control positions are entry-level opportunities for students or recent graduates to gain hands-on experience working with robotic systems, focusing on programming, designing, and testing control algorithms. These internships typically involve collaborating with experienced engineers to develop software or hardware that helps control the movement and operation of robots. They offer practical exposure to fields like automation, artificial intelligence, and mechatronics. Interns may work on real-world projects, use tools like ROS (Robot Operating System), and learn to optimize robot performance in various environments.

What is the difference between Internship Robotics Control vs Robotics Technician?

AspectInternship Robotics ControlRobotics Technician
CredentialsTypically pursuing or recent graduate of engineering or robotics programsAssociate's or bachelor's degree in robotics, electronics, or related fields
Work EnvironmentEducational settings, labs, or entry-level industry projectsManufacturing facilities, research labs, or industrial settings
Job FocusLearning, assisting, and gaining experience in robotics control systemsMaintaining, troubleshooting, and operating robotic systems
Industry UsageInternship programs, training, and entry-level rolesFull-time technical roles in robotics and automation

In summary, Internship Robotics Control is an entry-level, learning-focused position aimed at students or recent graduates gaining experience in robotics control systems. Robotics Technicians are more experienced professionals responsible for maintaining and troubleshooting robotic equipment in industrial or research environments.

What are popular job titles related to Internship Robotics Control jobs in Houston, TX? For Internship Robotics Control jobs in Houston, TX, the most frequently searched job titles are:
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Internship Robotics Control jobs near you

Algorithm Engineer, Deep Learning & Vision (New Grad)

Bot Auto

Houston, TX • On-site

Full-time

Posted 5 days ago

Job description

Company Introduction
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
Key Responsibilities
  • Model Implementation & Iteration: Participate in the development, training, and optimization of state-of-the-art deep learning models for autonomous driving, with a focus on end-to-end architectures, including perception, online mapping, and end-to-end planning.
  • Full Lifecycle Execution: Engage in the entire machine learning workflow under the guidance of domain experts, spanning from data curation and data analysis to model experimentation, hyperparameter tuning, and rigorous performance metric verification.
  • Cross-Functional Collaboration: Partner with simulation, infrastructure, and downstream planning/control teams to deploy, evaluate, and integrate machine learning components into our production pipeline for autonomous trucks.
  • Literature Tracking: Stay abreast of the latest research breakthroughs in computer vision and generative AI, and actively bench-test promising SOTA methods to solve real-world corner cases.
How You'll Grow
This matters as much to us as what you'll ship.
  • You get a real mentor. Every engineer is paired with senior-level engineers developing you. Mentorship here is weighted toward design and judgment: how to frame a problem, what to build and why, how to tell whether a solution is actually right.
  • We promote fast. Managers are expected to push engineers to attempt work above their current level, and to promote in the next cycle when they deliver it.
Qualifications
Required:
  • Education: A Bachelor's, Master's, or Ph.D. (including upcoming graduates) in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.
  • You have trained neural networks. Coursework, research, personal projects, open-source work, and internships all count. We care that you have actually run the loop: built a model, trained it, found out why it was not working, and fixed it.
  • Core Knowledge: Strong theoretical foundation in machine learning and deep learning, with a solid understanding of modern architectures (e.g., Transformers, CNNs, Graphs).
  • Technical Stack: Proficiency in Python and deep learning frameworks such as PyTorch, along with strong software engineering fundamentals (data structures, algorithms, and clean coding practices).
  • Attributes: High self-motivation, strong analytical and problem-solving skills, a fast learner in a high-velocity startup environment, and a strong team-player mindset.
Preferred:
  • Computer vision. Research or projects in computer vision, and particularly in 3D.
  • Specific Research Directions: Academic thesis or deeply focused research experience in one or more of the following domains:
    • Computer Vision (2D or 3D)
    • Online Mapping, Vectorization, or Visual SLAM
    • Prediction and Behavioral Modeling
  • Academic Achievements: A track record of research publications in machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS).
  • Engineering Plus: Hands-on experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).
  • Industry Exposure: Prior internship experience within the autonomous driving industry or advanced robotics labs.

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