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Internship Computer Vision Robotics Jobs in Austin, TX

Senior Computer Vision Engineer

Austin, TX

$103K - $142K/yr

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation ... The ideal candidate has experience deploying perception systems on real robotic, automotive, or ...

Senior Computer Vision Engineer

Austin, TX

$103K - $142K/yr

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation ... The ideal candidate has experience deploying perception systems on real robotic, automotive, or ...

Senior Computer Vision Engineer

Austin, TX · On-site

$103K - $142K/yr

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation ... The ideal candidate has experience deploying perception systems on real robotic, automotive, or ...

AI Engineer

Austin, TX · On-site

$220K - $270K/yr

... internships can count toward total experience * Full-stack engineering capability; comfortable ... Physical-world AI experience: video, IoT, sensor streams; industrial computer vision; robotics ...

Collaborate with computer vision, robotics, and software engineering teams to build low-friction developer tooling that accelerates iteration on the ACS turret platform. * Define and enforce ...

Physical AI Senior Manager

Austin, TX · On-site

$125K - $165K/yr

Computer vision for industrial environments (e.g., inspection, defect detection, safety, tracking, manufacturing assembly) * Robotics and autonomy (e.g., industrial robotics, mobile robotics and AMRs ...

Collaborate with computer vision, robotics, and software engineering teams to build low-friction developer tooling that accelerates iteration on the ACS turret platform. * Define and enforce ...

Collaborate with computer vision, robotics, and software engineering teams to build low-friction developer tooling that accelerates iteration on the ACS turret platform. * Define and enforce ...

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Internship Computer Vision Robotics information

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

To thrive in an Internship Computer Vision Robotics role, you typically need a solid background in computer science, mathematics, and robotics, often supported by coursework or projects in machine learning and image processing. Familiarity with programming languages like Python or C++, and experience using tools such as OpenCV, ROS, and deep learning frameworks (e.g., TensorFlow or PyTorch) are commonly required. Strong problem-solving, teamwork, and effective communication skills set candidates apart in multidisciplinary environments. These skills are essential for developing innovative solutions and collaborating on complex robotics projects.

What types of projects and technologies will I typically work on during an internship in computer vision robotics?

As an intern in computer vision robotics, you will often work on hands-on projects involving tasks like object detection, image segmentation, sensor data processing, or robotic navigation. You may use programming languages like Python or C++, and frameworks such as OpenCV, ROS (Robot Operating System), and TensorFlow or PyTorch for machine learning components. Interns collaborate closely with engineers and researchers, participating in code reviews, testing algorithms on real or simulated robots, and troubleshooting system integration. This role offers exposure to both software development and hardware interaction, providing a comprehensive experience in robotics and computer vision.

What are Internship Computer Vision Robotics positions?

Internship Computer Vision Robotics positions are temporary roles designed for students or early-career professionals to gain practical experience in applying computer vision techniques within robotic systems. Interns in these roles typically work on projects involving image processing, object detection, 3D vision, and integrating visual data into robotic control systems. These internships help candidates build technical skills, gain exposure to real-world robotics challenges, and often require knowledge of programming languages such as Python or C++, as well as familiarity with machine learning frameworks. They are commonly offered by research labs, tech companies, and robotics startups.

What is the difference between Internship Computer Vision Robotics vs Internship Machine Learning?

AspectInternship Computer Vision RoboticsInternship Machine Learning
Required CredentialsRelevant coursework, basic programming skills, familiarity with robotics and vision toolsProgramming skills, math background, familiarity with algorithms and data analysis
Work EnvironmentRobotics labs, hardware integration, software developmentData analysis, software development, research environments
Employer & Industry UsageRobotics companies, research labs, tech firms working on autonomous systemsTech companies, research institutions, AI startups

Internship Computer Vision Robotics focuses on developing systems that enable robots to interpret visual data, combining hardware and software skills. In contrast, Internship Machine Learning emphasizes designing algorithms to analyze data and build predictive models. Both roles require programming knowledge but differ in their application areas and work environments.

What are popular job titles related to Internship Computer Vision Robotics jobs in Austin, TX? For Internship Computer Vision Robotics jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Internship Computer Vision Robotics jobs in Austin, TX look for? The top searched job categories for Internship Computer Vision Robotics jobs in Austin, TX are:
What cities near Austin, TX are hiring for Internship Computer Vision Robotics jobs? Cities near Austin, TX with the most Internship Computer Vision Robotics job openings:
Senior Computer Vision Engineer

Senior Computer Vision Engineer

Skyways

Austin, TX

$103K - $142K/yr

Full-time

Posted 9 days ago


Job description

Skyways designs, builds, and operates fully autonomous long-range cargo aircraft. Founded in 2017, the company has spent the last eight years developing and deploying autonomous logistics systems for real-world operations.

Our V2 aircraft carries 30 lbs up to 500 miles, while our next-generation V3 carries 100 lbs over 1,000+ miles with 20+ hours of endurance. Both use a hybrid-electric architecture that takes off like a helicopter and cruises like a plane, enabling long-range autonomous delivery without traditional runway infrastructure.

Today, Skyways aircraft operate across three continents in controlled national airspace under FAA oversight and in support of U.S. military operations. We are transitioning from prototype development to full-rate production and scaling toward large autonomous cargo fleets.

Backed by Y Combinator and a $37M AFWERX STRATFI award from the U.S. Air Force, Skyways is creating a new form of transportation to advance our civilization from Austin, Texas.

The Opportunity

This role owns some of the hardest perception problems in autonomous flight.

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation, and perception-driven navigation in real operating environments. Your work will directly impact how aircraft identify safe landing areas, operate in degraded environments, and complete missions reliably without prepared infrastructure.

You will work across perception, sensor fusion, and flight systems to improve how aircraft understand terrain, obstacles, and environmental conditions during autonomous operations.

The ideal candidate has experience deploying perception systems on real robotic, automotive, or aerial platforms and understands the challenges of reliability, integration, and operational performance at system level.

You will work closely with autonomy, GNC, and flight operations teams to take systems from development through flight testing and operational deployment.

What You'll Do:
  • Develop and deploy computer vision systems for autonomous landing and landing zone evaluation

  • Build perception systems for targetless landing in unstructured and dynamic environments

  • Mentor junior perception engineers and raise the quality bar for how perception systems are designed, tested, and deployed
  • Develop algorithms for terrain understanding, obstacle detection, and environment classification

  • Work with onboard camera, IMU, GPS, and other sensor data in real flight environments

  • Improve system performance using operational flight data, testing, and iteration

  • Collaborate across autonomy, GNC, and flight operations teams to integrate perception into flight behaviors

  • Debug perception and autonomy issues observed during simulation, ground testing, and flight operations

  • Contribute to software architecture, testing, integration, and deployment workflows

What You'll Bring:
  • 5+ years of experience developing and deploying computer vision or perception systems in real-world environments

  • Strong proficiency in C++ and Python

  • Experience with perception systems for robotics, autonomous vehicles, drones, or aerospace platforms

  • Experience working with real sensor data and operational deployment constraints

  • Strong understanding of camera systems, sensor fusion, and state estimation concepts

  • Experience debugging and improving deployed perception systems using logs, telemetry, or flight data

  • Ability to operate effectively in fast-moving engineering environments

  • Strong communication and collaboration skills

Bonus Points If You Have:
  • Experience with autonomous aircraft or aerial robotics

  • Experience with landing zone evaluation, terrain classification, or visual navigation systems

  • Background in SLAM, visual odometry, or GPS-denied navigation

  • Experience with embedded or real-time systems

  • Familiarity with ROS2 or similar robotics frameworks

  • Experience deploying perception systems to resource-constrained platforms

Want to join our mission? Apply to learn more!

Due to U.S. government contract requirements, this role is limited to U.S. citizens, U.S. permanent residents, or candidates from specific countries authorized under applicable export control regulations.

Skyways is an Equal Opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or any other factor protected by applicable local, state or federal laws.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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