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Internship Robotics Integrator Jobs in Texas (NOW HIRING)

Belcan, LLC

Junior Software Engineer

Frisco, TX · On-site

$75K - $110K/yr

Execute regression, integration, system, and functional testing * Analyze logs, telemetry, and test ... Internship or project experience in software development or automation * Exposure to robotics ...

Belcan

Junior Software Engineer

Frisco, TX · On-site

$75K - $110K/yr

Execute regression, integration, system, and functional testing * Analyze logs, telemetry, and test ... Internship or project experience in software development or automation * Exposure to robotics ...

Belcan

Junior Software Engineer

Frisco, TX

$75K - $110K/yr

Execute regression, integration, system, and functional testing * Analyze logs, telemetry, and test ... Internship or project experience in software development or automation * Exposure to robotics ...

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All JobsRobotics Integrator JobsInternship Robotics Integrator JobsInternship Robotics Integrator Jobs in Texas

Internship Robotics Integrator information

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

AspectInternship Robotics IntegratorRobotics Technician
Required CredentialsTypically pursuing or recent graduate with relevant courseworkAssociate degree or technical certification in robotics or electronics
Work EnvironmentTraining settings, labs, or entry-level project environmentsManufacturing floors, maintenance facilities, or field service
Employer & Industry UsageInternship programs in robotics companies, research labs, or automation firmsManufacturers, automation companies, and service providers
Common Search & Comparison IntentUnderstanding entry-level roles in robotics integrationLearning about technical roles supporting robotics systems

The main difference is that an Internship Robotics Integrator is an entry-level, training-focused position for students or recent graduates gaining hands-on experience, while a Robotics Technician is a more experienced role involving maintenance, troubleshooting, and supporting robotic systems in industrial settings.

What are the most commonly searched types of Robotics Integrator jobs in Texas?

The most popular types of Robotics Integrator jobs in Texas are:

What are popular job titles related to Internship Robotics Integrator jobs in Texas?

For Internship Robotics Integrator jobs in Texas, the most frequently searched job titles are:

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The top searched job categories for Internship Robotics Integrator jobs in Texas are:

Internship Robotics Integrator jobs near you
Infographic showing various Internship Robotics Integrator job openings in Texas as of August 2026, with employment types broken down into 8% Internship, 63% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.

Algorithm Engineer, Deep Learning & Vision (New Grad)

Bot Auto

Houston, TX • On-site

Full-time

Posted 24 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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