Real-World AI Software Architect

Are you a skilled and time-tested software architect not afraid to get your hands dirty?

Are you excited by a chance to create and develop a pioneering ground-breaking real-world artificial intelligence system for high-end sensors?

High-end sensors that you can physically touch? (and you thought 'get your hands dirty was just an idiom...)

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

We seek a software architect to help us create systems to enhance an autonomous system 's understanding of the world from a diverse range of fused information sources, pattern recognition (ML/DL) algorithms and reasoning engines. Our team works with multiple government agencies to ensure our military and first-responders have ground breaking AI-enabled tools to enhance their ability to respond to emerging threats anywhere in the world.

As a real-world AI software architect...

• Your primary responsibility is to keep abreast of industry developments in support of selecting and deploying technologies in our ground breaking real-world AI-based product
• You will work with a skilled team of engineers and scientists to plan and design robust systems to enable the rapid information flow and analysis required for a real-world AI system to carry out its tasks
• You will design both towards assuring actual security and to support 'security&rdquo requirements
• You will track progress of and guide the various sub-teams to support system development, design and goals
• You will get your hands dirty coding (C++, CMake, build servers, Linux)

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

• A B.S degree in Computer Science, Software Engineering, Computer Engineering, Mathematics, or a related field.
• 5+ years of experience systems programming (C++, C#, Java, etc.).
• Strong information technology skills
• Familiarity with system deployment
• Experience with Continuous Integration and Continuous Deployment technologies
• Excellent verbal and written communication abilities
• Demonstrated success leading in a team environment.
• Thrive in a dynamic project environment with evolving technologies and problem-sets!
• Are able to obtain a Top Secret security 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 an M.S. degree in Computer Science, Software Engineering, Computer Engineering, Mathematics, or a related field
• 8+ years of experience working with systems programming languages
• 3+ years architecting systems
• Experience with data science and machine learning programming
• Ability to laugh at the phrase 'neuromorphics enabled&rdquo
• Experience with information assurance
• Experience with C++, C#, Rust, Go, etc.
• Experience with CMake, vcpkg, Gitlab CI
• Experience with wrangling many containerized services
• Experience with multiple flavors of Linux
• Experience interacting with government customers
• Full-stack experience
• Machine/Deep Learning or analytics development experience
• Hold an active Top Secret security clearance.

#LI-AG1

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 http://www.jhuapl.edu/careers.

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.