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2025 Internship - Robotics Intern

The Johns Hopkins University Applied Physics Laboratory
life insurance, paid time off
United States, Maryland, Laurel
11100 Johns Hopkins Road (Show on map)
Dec 02, 2024
Description

Are you passionate about solving today's greatest challenges in robotics?

Do you enjoy working on meaningful interdisciplinary problems?

Do you thrive in a collaborative and creative environment?

If so, we're looking for someone like you to join our team at APL.

If you are an undergraduate or graduate student pursuing a degree inComputer Science, Engineering, or Mathematics, we'd love to have you join our team!The Robotics Group in the Research and Exploratory Development Department is an interdisciplinary team of researchers that is inventing the future across the broad spectrum of robotics, with applications that strengthen national defense, improve healthcare, advance space exploration, and address critical challenges facing the nation.You can learn more about our current research atwww.jhuapl.edu/isc.

We are seeking highly skilled, highly motivated student interns to join us in taking intelligent robotic systems from concept to reality. We are a multidisciplinary team focused on groundbreaking impacts in the areas of advanced robotic control, robot perception & reasoning, generative AI for robotic applications, novel robotic systems, human-robot teaming, multi-agent coordination, and safe/assured autonomy. Our team is committed to excellence in research that has real-world impact. Successful members of our team tend to be creative problem solvers who are comfortable working at the edge of their comfort zone.We strive to foster an environment that welcomes a diversity of backgrounds and academic experienceas we aim to solve the hardest problems in robotics. Depending on your expertise, you will develop algorithms, implement machine learning techniques, design and fabricate hardware, integrate systems, and support field tests.


Qualifications

You meet our minimum qualifications for the job if you:

  • Are pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Robotics, Mathematics, or a related field.
  • Have a minimum 3.3 GPA on a 4.0 scale.
  • Are skilled in one or more programming languages, particularly Python and C++.
  • Are able to obtain an interim Secret security clearance prior to reporting and can ultimately acquire a full Secret clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you:

  • Have taken classes in robotics or robotics applications of AI, computer science, mechanical engineering, or mathematics.
  • Have experience developing, simulating, and demonstrating algorithms for control of robotic systems.
  • Have experience developing AI/ML software that integrates with hardware such as robotic platforms, sensors, or medical devices.
  • Have experience designing, fabricating, and integrating robotics hardware.
  • Have demonstrated proficiency in using one or more common robotics or AI libraries such as ROS, TensorFlow, Pytorch, or OpenCV.

Why work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at www.jhuapl.edu/careers.


About Us

APL is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.

APL is committed to promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. Only by ensuring that everyone's voice is heard are we empowered to be bold, do great things, and make the world a better place.

The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.


Minimum Rate

$21.90 Hourly

Maximum Rate

$46.45 Hourly
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