AI Applications Software Developer and Test Engineer

Are you interested in working in multi-disciplinary teams to advance the state-of-the-art in autonomous systems, uncrewed air systems, 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 answered "yes" to either of these questions, we are looking for someone like you to join our team in the Intelligent Combat Systems Group at APL!

Who are we?

We are the Intelligent Combat Systems 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 Systems 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 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, fostering a culture of innovation and collaboration, while having fun with what we do!

As an AI Applications Software Developer and Test Engineer, you will...

• Design and implement scalable, testable, and maintainable architectures that integrate advanced AI algorithms and autonomous system components into full stack solutions for operational systems.
• Support real-time tests of autonomy in live, virtual, and simulated environments.
• Develop and maintain high-quality code for simulation, visualization, and full stack development, utilizing both static and dynamic analysis tools for continuous improvement in incremental delivery cycles.
• Integrate software with hardware components and interface AI modules into operational environments, ensuring interoperability and optimal system performance.
• Support real-time testing and validation of AI-enabled applications in simulated and operational settings to verify system reliability, suitability, and performance.
• Research and develop new and novel approaches for test and evaluation of AI and autonomous systems software.
• Develop software test plans, procedures, processes, and reports for AI and autonomous system software.
• Run static and dynamic code analysis tools on incremental software deliveries.
• Collaborate with a complementary team of engineers, scientists, and software developers to deliver innovative AI application solutions that enhance operational effectiveness for the warfighter.

You meet our minimum qualifications for the job if you...

• Possess a Bachelor's degree in Computer Science, Computer Engineering, Aerospace Engineering, Electrical Engineering, Applied Mathematics, Physics, or another related field.
• Have at least five years of relevant experience in software engineering and test.
• Are fluent in at least one major programming language such as C/C++, Java, Python, assembly, etc.

• Have demonstrated experience with improving code efficiency and performance of software stacks.

• Have demonstrated strength with communication skills - both verbal and written and possess the ability to collaborate effectively in a team environment.
• Are able to travel within CONUS to U.S. Government and defense contractor's sites as well as to the work locations of Group staff.
• Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a TS/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 a Master's degree or Ph.D. in Computer/Software Engineering, Computer Science, Applied Mathematics, or another related technical degree.
• Have experience leading projects that included implementing AI and autonomy algorithms in physical systems.
• Are fluent in multiple programming languages.
• Have experience with field/user testing of complex technical systems.
• Experience with dynamic web front end frameworks such as VueJs, React or Angular in addition to the corresponding software architecture design.
• Have experience with cloud technologies such as Amazon Web Services, Azure, Google Cloud.
• Have a strong knowledge of Quality Assurance methodology and tools.
• Are well-versed in using professional software development tools such as integrated development environments (IDE), version control, issue trackers, debuggers and continuous integration tools and willing to lead teams through integration processes.
• Have experience developing software test stands and laboratory environments.
• Have experience with test and evaluation related to autonomy, AI, and/or machine learning in the context of uncrewed systems and aircraft.
• Have an active TS/SCI clearance.

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 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 http://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 Accommodations@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.