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Internship Computer Vision Robotics Jobs in Tennessee

... similar CAD tools * Collaborate with mechanical engineers to create safe, reliable, and high ... Background working with servo systems, machine vision, robotics, conveyors, and automated machinery ...

... similar CAD tools * Collaborate with mechanical engineers to create safe, reliable, and high ... Background working with servo systems, machine vision, robotics, conveyors, and automated machinery ...

... Computer Science, Robotics, or related field and 3 or more years of relevant experience. * Proven experience in developing and deploying AI-based vision systems in an industrial or manufacturing ...

... Computer Science, Robotics, or related field and 3 or more years of relevant experience. * Proven experience in developing and deploying AI-based vision systems in an industrial or manufacturing ...

Summer Internship-Paid

Hatteras, NC

$14.25 - $17/hr

Prolonged exposure to computer screens and artificial lighting. * Use of repetitive motion ... and distance vision, sitting, seeing and reading signs, traffic signals, other vehicles, etc.

... Computer vision or machine learning • Robotics or industrial automation • Systems integration and APIs • Startup or high-growth technology environments Company : Legacybox is an all-in-one ...

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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.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications, especially in robotics and automation. Skills in machine learning, deep learning, and programming with tools like OpenCV and TensorFlow are in high demand for roles such as internship computer vision robotics. The field continues to grow as new techniques and hardware improve the capabilities of autonomous systems.

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 the big 4 internships?

The 'Big 4' internships typically refer to the internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships are highly competitive and often focus on areas such as consulting, audit, tax, and advisory services, providing valuable experience for students pursuing careers in finance, accounting, or consulting. For a computer vision robotics internship, relevant skills include programming, machine learning, and robotics tools, but the 'Big 4' are primarily known for their accounting and consulting internships.

How to get a robotics internship?

To secure a robotics internship, candidates should have a strong foundation in computer vision, robotics, and programming languages like Python or C++. Gaining experience through relevant coursework, personal projects, or competitions, and demonstrating knowledge of robotics frameworks such as ROS can improve chances. Applying to internships through university career centers or company websites and preparing a technical resume are also important steps.

What does a computer vision intern do?

A computer vision intern assists in developing and testing algorithms that enable computers to interpret visual data, such as images and videos. They often work with machine learning models, programming languages like Python or C++, and tools like OpenCV or TensorFlow, under the supervision of experienced engineers to support projects related to object detection, image processing, and autonomous systems.
What are popular job titles related to Internship Computer Vision Robotics jobs in Tennessee? For Internship Computer Vision Robotics jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Internship Computer Vision Robotics jobs? Cities in Tennessee with the most Internship Computer Vision Robotics job openings:

Lead Robotics Engineer, Autonomy

Valinor Enterprises

Cookeville, TN • On-site

$87K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Valinor is a new type of defense and government tech company focused on solving the problems others don't. Our unique model of centralized go-to-market and decentralized engineering allows us to move with unparalleled efficiency to identify unmet needs, build right-sized solutions, and get products where they matter most - in the hands of users. Unlike others in the space, who focus on the flashy problems, Valinor exists to solve the quiet, unaddressed problems-the small but significant ones that lead to cracks in the country's strength, stability, and security.
Backed by General Catalyst, Founders Fund, and Red Cell Partners, Valinor was founded in 2024 and has established strategic partnerships with Palantir, Anduril, and Helsing. We are building the dream team, and we want you on it.
About the Role
Valinor Dispatch is seeking a Lead Robotics Engineer to own the autonomy stack end to end, from computer vision and flight control to robotic manipulation, behind its ruggedized, field-deployable UxS charging infrastructure for defense applications. This is a hands-on technical leadership role for someone who can set architectural direction, work shoulder-to-shoulder with mechanical, electrical, and software teams, and mentor a small group of engineers building the next generation of autonomous and robotic platforms. You'll drive the system from concept through field deployment and establish the technical standards the team will build on.
What You'll Do
  • Architect and own the full autonomy stack (perception, state estimation, planning, and control) across autonomous aerial platforms and robotic manipulators, from concept through field deployment.
  • Lead integration and tuning of flight control software (PX4/ArduPilot-class or in-house controllers), including attitude and position loops for stability and reliable performance in real-world and contested environments.
  • Design, develop, and bring up robotic arm systems including kinematics, dynamics, motion planning, and manipulation behaviors, with sim-to-real validation and on-hardware tuning.
  • Develop computer vision and sensor-fusion pipelines (camera/IMU/LiDAR) for navigation, target detection, alignment, and autonomous docking and retention tasks.
  • Work closely with mechanical, electrical, and software teams to ensure seamless integration of sensors, electronics, and electromechanical components into deployable systems.
  • Establish standards for simulation, testing, and safe field operation. Drive technical direction through design reviews and architecture decisions.
  • Mentor a small team of robotics and software engineers. Lead prototype bring-up, testing, and refinement in lab and field environments.

What We're Looking For
  • Bachelor's or Master's in Robotics, EE/ME, Aerospace Engineering, Computer Engineering, or a closely related field.
  • 5+ years of experience building robotics/autonomy systems, with 2+ years in a technical lead or team-lead capacity on mission-critical or fielded systems (defense, aerospace, drones, or similar).
  • Strong proficiency in C++ and Python, with solid real-time and embedded systems fundamentals.
  • Demonstrated depth across the full stack: perception/CV, state estimation (EKF/factor graphs, VIO/SLAM), motion and path planning, and control (PID through MPC).
  • Hands-on experience with flight control stacks (PX4/ArduPilot or equivalent) and tuning controllers on real hardware.
  • Experience designing and deploying 6DOF manipulation systems, including kinematics, motion planning (MoveIt/OMPL-class), and grasping.
  • Proficiency with ROS/ROS2 and robotics simulation tooling (Gazebo, Isaac Sim, or similar), plus hardware-in-the-loop testing.
  • Track record of shipping autonomous systems to the real world, not just simulation or research, with sound judgment on sim-to-real and field reliability.
  • Robot learning (imitation/RL, VLA models), CUDA/edge deployment, and experience operating in rugged or contested environments a plus.

What Valinor Offers
  • Competitive salary, equity packages, and benefits, including health, dental, and vision insurance - fully covered for employees, 401(k), development stipends, among others.
  • Unlimited PTO and two-week company holiday at the end of every calendar year.
  • We are a pro-mental health and pro-family company - we actually encourage employees to spend time with themselves and their families. Valinor also provides fertility benefits to those just beginning that journey.
  • Fun work environment - we like to laugh and take care of each other, but we also deeply respect the mission in front of us.

This role requires the candidate be eligible to obtain and maintain a U.S. security clearance. Active clearance preferred, but not required.
Valinor is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Valinor team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense and government technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you!