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Internship Perception Engineer Jobs in Austin, TX

Turner Construction

Assistant Engineer

Austin, TX · On-site

Has supervisory responsibility for Engineering Assistants, Plan Clerks and Interns. The Assistant ... perception, and the ability to adjust focus. Performing this job requires use of hands to finger ...

Turner Construction

Engineer

Austin, TX · On-site

Has supervisory responsibility for Assistant Engineers, Engineering Assistants, and Interns. The ... depth perception and ability to adjust focus. Work Environment: The work environment ...

Saronic

Mission Operations Engineer (Program)

Austin, TX · On-site

$110 - $160/hr

... perception, communications, and sensor integration, among other vessel functionalities. * Diagnose ... previous internships qualify) Preferred Qualifications * Strong problem‑solving and ...

New

KLA Corporation

Customer Support Engineer - PCB

Austin, TX · On-site

$29.19 - $49.62/hr

... perception of the value of services received. Reports directly to the assigned District Manager ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Orbotech

Customer Support Engineer - PCB

Austin, TX

$29.19 - $49.62/hr

... perception of the value of services received. Reports directly to the assigned District Manager ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

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How much do internship perception engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship perception engineer in Austin, TX is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $20.72 per hour, depending on experience, location, and employer.

What is an internship perception engineer?

An Internship Perception Engineer is a student or recent graduate who works on developing and improving perception systems, often within the fields of robotics, autonomous vehicles, or computer vision. Their responsibilities typically include processing sensor data (like cameras, LiDAR, or radar), developing algorithms for object detection and tracking, and contributing to machine learning models that help machines understand their environment. These internships offer hands-on experience with cutting-edge technologies and exposure to real-world engineering challenges. Interns usually work under the guidance of experienced engineers and may collaborate with teams across hardware, software, and research.

What types of projects does an internship perception engineer typically work on, and how do these contribute to the overall goals of the engineering team?

Internship Perception Engineers usually work on projects involving data collection, algorithm development, and sensor integration to help machines interpret their environments. These projects can include tasks like annotating sensor data, testing perception models (such as object detection or tracking), or supporting the deployment of perception systems in real-world scenarios. By contributing to these projects, interns help the team improve the accuracy and reliability of perception solutions, which are essential for applications like autonomous vehicles or robotics. Interns often collaborate closely with senior engineers and cross-functional teams, gaining hands-on experience and exposure to state-of-the-art technologies.

What are the key skills and qualifications needed to thrive as an internship perception engineer, and why are they important?

To thrive as an Internship Perception Engineer, you need a solid background in computer vision, machine learning, and programming languages such as Python or C++, often supported by coursework in robotics or artificial intelligence. Familiarity with tools like ROS, OpenCV, TensorFlow, and experience working with sensor data (e.g., LiDAR, cameras) are typically required. Strong problem-solving abilities, teamwork, and effective communication set top candidates apart in collaborative, research-driven environments. These skills are crucial for developing and integrating advanced perception algorithms that enable autonomous systems to interpret and interact with their surroundings.

What is the difference between Internship Perception Engineer vs Perception Engineer?

AspectInternship Perception EngineerPerception Engineer
Required CredentialsTypically pursuing or recently completed relevant degree (e.g., Computer Science, AI)Bachelor's or higher in related field, with experience preferred
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time professional role, responsible for perception system development
Employer & Industry UsageInternship programs in tech companies, research labsEstablished companies in autonomous vehicles, robotics, AI
Search & Comparison IntentUnderstanding entry-level roles, internships, career pathProfessional expertise, career advancement, project responsibilities

In summary, an Internship Perception Engineer is an entry-level role designed for students or recent graduates gaining experience in perception systems, while a Perception Engineer is a full-time professional responsible for developing and maintaining perception algorithms in industry settings.

What are the most commonly searched types of Perception Engineer jobs in Austin, TX?

The most popular types of Perception Engineer jobs in Austin, TX are:

What are popular job titles related to Internship Perception Engineer jobs in Austin, TX?

For Internship Perception Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Internship Perception Engineer jobs in Austin, TX look for?

The top searched job categories for Internship Perception Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Internship Perception Engineer jobs?

Cities near Austin, TX with the most Internship Perception Engineer job openings:

Internship Perception Engineer jobs near you
Infographic showing various Internship Perception Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 73% Full Time, and 27% Temporary. Highlights an 100% In-person job distribution, with an average salary of $39,821 per year, or $19.1 per hour.

Robotics Engineer, Motion Planning

Contoro Robotics

Austin, TX • On-site

Full-time

Re-posted 17 days ago

Job description

Join Contoro Robotics - Revolutionizing Warehouse Automation with Cutting-Edge Robotics
At Contoro Robotics, we're on a mission to solve labor challenges through advanced robotic solutions. Headquartered in Austin, TX, our fast-growing startup is transforming the supply chain industry with our flagship warehouse automation technology. Our team is made up of top-tier experts in robotics, AI, and logistics, working together to push the boundaries of automation.
We're looking for talented and ambitious individuals to join us on this journey-helping shape the future of robotics while growing alongside a world-class team. If you're passionate about innovation, problem-solving, and making a real-world impact, we want to hear from you!
Robotics Engineer, Motion Planning
Contoro Robotics is an Austin-based company building autonomous truck-unloading robots for warehouse operations. We deploy reliable, high-throughput robotic systems that handle heavy, unstructured freight in real logistics settings every day.
The Role
We are looking for a Robotics Engineer to help improve the reliability and performance of our robot's motion-planning stack on a live production fleet. A significant part of this role is hands-on production support: reproducing field issues, debugging them across motion planning, perception, and controls, and validating fixes on real hardware. You will work closely with our senior motion-planning and autonomy engineers, tuning and integrating motion planning as you grow your depth in the field.
Responsibilities
Production Debugging and Performance Support
  • Investigate and help resolve production issues that affect cycle time, pick success, and operator intervention rate, working across motion planning, perception, and controls to find root cause.
  • Reproduce field failures on real hardware, analyze logs and telemetry, and work with senior engineers to validate root cause and ship fixes.

Motion Planning Implementation and Integration
  • Implement and tune planners within the MoveIt ecosystem for collision-free, kinematically feasible motion, with guidance from senior engineers.
  • Integrate perception outputs (container frame, box poses, occupancy) into the planning scene, reasoning about collision objects such as container walls, ceiling, and neighboring boxes.
  • Integrate path and trajectory generation with the control stack (MoveIt and ros_control), and measure cycle-time and throughput impact on hardware.

Hardware Validation
  • Run controlled tests on the robot, compare before-and-after throughput, and quantify the impact of changes across diverse box and container configurations.
  • Collaborate across autonomy, perception, controls, and robot software to deliver reliable end-to-end motion.
Qualifications
Experience: 1-3 years of professional experience (or equivalent research or internship experience) in motion planning, manipulator control, or robotics software, ideally with real-hardware exposure. Strong recent graduates with excellent fundamentals are encouraged to apply.
Education: Minimum B.S. in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field.
Technical Skills:
  • Proficient in C++ (modern standards), Python, and ROS 1 or ROS 2.
  • Working knowledge of MoveIt and at least one motion planning approach (e.g., sampling-based planners such as RRT/RRT-Connect/PRM, or optimization-based planners such as CHOMP/TrajOpt).
  • Solid grasp of manipulator kinematics - forward/inverse kinematics, collision checking, velocity and acceleration limits, and singularity and joint-limit awareness for 6/7-DOF arms.
  • Strong debugging instincts and a willingness to dig into hard, ambiguous production issues.
  • Good communication and eagerness to learn from senior engineers.
Nice to Have
  • Hands-on experience with industrial manipulators (e.g., UR, KUKA) and real-time joint control.
  • Familiarity with integrating perception inputs (point clouds, object poses, occupancy maps) into collision-aware planning.
  • Exposure to time-parameterization tools (TOTG/TOPP-RA, Ruckig, jerk-limited/S-curve profiles).
  • A controls or electrical background (motor limits, torque, current) useful for hardware-level debugging.
  • Exposure to physics-based or kinematic simulation (Isaac Sim, Gazebo, MuJoCo, Bullet).

*Recruitment Agencies: Please do not contact our employees regarding this role. We partner with a select group of approved recruiting firms and do not accept unsolicited outreach or candidate submissions.

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