Autonomy & Active Safety Engineering Intern

Jobtailor

Pennsylvania

On-site

USD 25,000 - 36,000

Full time

3 days ago

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Job summary

Jobtailor is seeking interns to collaborate with Oshkosh engineers on next-generation autonomy and robotics projects using real vehicles, test benches, or simulators. You will focus on perception, SLAM, planning, and embedded controls while gaining hands-on experience with Python, C/C++, MATLAB/Simulink, and ROS2.

The role emphasizes hands-on development, sensor integration (LiDAR, radar, GPS/IMU), and collaboration across disciplines to deliver integrated vehicle systems.

Qualifications

Pursuing a Bachelor’s or Master’s degree in Engineering, Computer Science, or a related technical field
At least sophomore standing for undergraduate students at the time of application
Programming experience with Python, C/C++, or a similar programming language through coursework, research, personal projects, or previous work experience
Ability to work at least 12 weeks, beginning in late May or early June through August
Experience or interest in autonomy, robotics, or active safety systems is a plus
Experience or interest in computer vision, machine learning, or perception is a plus
Experience with ROS2 and Linux-based robotics development is a plus
Experience with embedded software development or microcontrollers is a plus
Experience with MATLAB and Simulink is a plus
Experience with vehicle networks such as CAN is a plus
Experience with vehicle powertrain, braking, or steering systems is a plus
Experience with control systems is a plus
Experience with sensor integration, including cameras, LiDAR, radar, or GPS/IMU, is a plus
Experience with simulation and virtual development environments is a plus
Hands-on development, experimentation, and testing with real systems is a plus
Strong analytical and problem-solving skills with the ability to work through ambiguity is a plus
Applicants for certain positions may need to be U.S. Persons due to ITAR/EAR-controlled goods and technologies

Responsibilities

Work alongside Oshkosh engineers to develop, integrate, and demonstrate next-generation autonomy, robotics, perception, and vehicle control technologies on real vehicle platforms
Focus on computer vision and machine learning, perception and sensor fusion, localization and mapping, planning and controls, embedded systems, vehicle integration, simulation, or full-stack robotics development depending on background, interests, location, and project assignment
Own meaningful technical projects related to autonomy, active safety, robotics, perception, embedded controls, or vehicle systems
Develop, integrate, test, and demonstrate work on real vehicles, test benches, or simulation environments
Develop and evaluate computer vision and machine learning capabilities such as object detection, tracking, and vision-language models
Integrate sensors and computing platforms, including cameras, LiDAR, radar, GPS/IMU, and high-performance edge computing hardware
Support embedded vehicle control and unmanned vehicle systems development for autonomy and active safety applications
Develop or test software using Python, C/C++, MATLAB/Simulink, or other engineering tools
Work with vehicle networks and systems such as CAN, powertrain, braking, and steering
Collaborate with engineers across software, systems, controls, electrical, mechanical, and hardware disciplines to integrate capabilities into larger vehicle systems
Evaluate emerging technologies and state-of-the-art approaches alongside proven commercial solutions for real-world applications
Perform engineering calculations, analysis, design, testing, and troubleshooting
Present project results and technical recommendations to engineering teams and project stakeholders

Skills

Python

C/C++

MATLAB

Simulink

ROS2

Sensor Fusion

Control Systems

Vehicle Networks

Simulation Environments

Embedded Software Development

Education

Bachelor’s or Master’s degree in Engineering/CS

Tools

MATLAB

Simulink

ROS2

CAN

LiDAR

Radar

GPS/IMU

Edge Computing

Job description

Work alongside Oshkosh engineers to develop, integrate, and demonstrate next-generation autonomy, robotics, perception, and vehicle control technologies on real vehicle platforms
Focus on computer vision and machine learning, perception and sensor fusion, localization and mapping, planning and controls, embedded systems, vehicle integration, simulation, or full-stack robotics development depending on background, interests, location, and project assignment
Own meaningful technical projects related to autonomy, active safety, robotics, perception, embedded controls, or vehicle systems
Develop, integrate, test, and demonstrate work on real vehicles, test benches, or simulation environments
Develop and evaluate computer vision and machine learning capabilities such as object detection, tracking, and vision-language models
Integrate sensors and computing platforms, including cameras, LiDAR, radar, GPS/IMU, and high-performance edge computing hardware
Support embedded vehicle control and unmanned vehicle systems development for autonomy and active safety applications
Develop or test software using Python, C/C++, MATLAB/Simulink, or other engineering tools
Work with vehicle networks and systems such as CAN, powertrain, braking, and steering
Collaborate with engineers across software, systems, controls, electrical, mechanical, and hardware disciplines to integrate capabilities into larger vehicle systems
Evaluate emerging technologies and state-of-the-art approaches alongside proven commercial solutions for real-world applications
Perform engineering calculations, analysis, design, testing, and troubleshooting
Present project results and technical recommendations to engineering teams and project stakeholders

Requirements

Pursuing a Bachelor’s or Master’s degree in Engineering, Computer Science, or a related technical field
At least sophomore standing for undergraduate students at the time of application
Programming experience with Python, C/C++, or a similar programming language through coursework, research, personal projects, or previous work experience
Ability to work at least 12 weeks, beginning in late May or early June through August
Experience or interest in autonomy, robotics, or active safety systems is a plus
Experience or interest in computer vision, machine learning, or perception is a plus
Experience with ROS2 and Linux-based robotics development is a plus
Experience with embedded software development or microcontrollers is a plus
Experience with MATLAB and Simulink is a plus
Experience with vehicle networks such as CAN is a plus
Experience with vehicle powertrain, braking, or steering systems is a plus
Experience with control systems is a plus
Experience with sensor integration, including cameras, LiDAR, radar, or GPS/IMU, is a plus
Experience with simulation and virtual development environments is a plus
Hands-on development, experimentation, and testing with real systems is a plus
Strong analytical and problem-solving skills with the ability to work through ambiguity is a plus
Applicants for certain positions may need to be U.S. Persons due to ITAR/EAR-controlled goods and technologies

Core Competencies

Demonstrates expertise in computer vision, machine learning, and robotics, with a strong focus on developing and integrating autonomy and vehicle control technologies. Proficient in programming with Python and C/C++, and experienced in sensor integration and embedded systems development.

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