Embedded Linux Internship Jobs in Washington (NOW HIRING)

Are you interested in working in multi-disciplinary teams to advance the state-of-the-art in autonomous systems, uncrewed air platforms, artificial intelligence, software design, embedded systems, virtual reality, and simulation?

Are you interested in applying your skills to conceive, design, prototype and test new capabilities in intelligent autonomous systems that will save US warfighter's lives and ensure our nation's preeminence?

If you are graduating with a degree in Math, Computer Science, Physics, and/or Engineering or related area with a strong background in Software Development, and you answered "yes" to either of these questions, we are looking for someone like you to join our team in the Intelligent Combat Platforms Group at APL!

Curiosity. Critical Problem Solving. Collaboration.

We are the Intelligent Combat Platforms Group, and our mission focus is to ensure our Nation maintains the operational advantage on the future battlefield through foundational advances in artificial intelligence, autonomy, manned-unmanned teaming and novel unmanned aircraft (e.g., drones) design and testing. We believe the future of warfare will be defined by intelligent autonomous systems capable of fighting with machine precision at machine speeds. Whether it is developing the intelligence that drives autonomous wingmen behaviors, integrated real-time collaboration tools and data analytic architectures, or novel AI design tools and software, the Intelligent Combat Platforms Group is at the forefront. Three of our recent game-changing projects (DARPA Air Combat Evolution, AFRL Golden Horde, and Air Force SkyBorg) are featured in recent news articles, highlighting our impact and innovation.

We are seeking inquisitive and creative team members who like to tackle challenging problems, think critically, and to help us build the next generation of autonomous combat systems and shape the future of warfare. Our team is an entrepreneurial and multidisciplinary team committed to developing technical talent, instilling a mindset of innovation and collaboration, while having fun with what we do!

• Work on teams in one or more areas: intelligent control and decision-making, complex battlefield management, human-machine/multi-agent collaboration, networked distributed systems and reinforcement learning, software/hardware design, flight system test and evaluation, and next generation autonomous air platforms.
• Prototype and simulate AI and autonomous systems by writing code, developing software (simulation and visualization), creating algorithms, or interfacing software/hardware.
• Contribute to all facets of the data-to-deployment lifecycle of machine learning models.

Collaborate with the nation's leading experts in AI enabled combat systems and work with a team of engineers, scientists, and software developers to deliver impactful capability to the warfighter.

You meet our minimum qualifications for the job if you…

• Have a Bachelor's or Master's degree in a STEM (Math, Computer Science, Physics, and/or Engineering or related area) field.
• Are skilled in C++, Python, and software design patterns.
• Have experience with applications for physical systems such as mechanical, aerospace, or robotics.
• Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a Top Secret/SCI level 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 experience developing in a modern software development environment that includes automated testing, continuous integration and deployment, and "DevSecOps" environments.
• Have proficiency in additional programming languages and environments (C, C#, Java, Linux Javascript, Terminal, Bash, Pytorch, tensorflow, Unity, MATLAB), full stack development, simulation development, cloud computing, and configuration management.
• Have experience working with sensors, hardware, or flight test support.
• Have additional classroom or professional experience working with our core skills: autonomous systems, artificial intelligence, deep/reinforcement/machine learning, robotics, dynamics and controls, flight test and evaluation, modeling and simulation, aerodynamics, air combat platform design, data science, and statistical analysis.
• Have completed any certifications or internships.

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 of perspectives 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 https://www.jhuapl.edu/careers.

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 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 Accessibility@jhuapl.edu.

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.

$85,000 Annually

$165,000 Annually