Autonomous Systems Engineer at Johns Hopkins Applied Physics Laboratory (APL)

Are you passionate about collaborating with a diverse team of experts to tackle the most pressing challenges in autonomous systems? Do you desire a dynamic and collaborative environment and thrive on the challenge of solving complex problems at the intersection of AI and robotics? If you're passionate about shaping the future of autonomy, we invite you to be part of our journey!

We're looking for an inventive Autonomous Systems Engineer to join our Imaging Systems Group, where your creativity becomes the backbone of projects that enhance future operational capabilities, safeguard our Nation's security, and pioneer the next wave of technological evolution.

As a member of our team, you will:

• Research, evaluate, and integrate innovative algorithms and technologies for perception, planning, and control.
• Lead the design, development, and implementation of autonomous systems solutions from concept to deployment.
• Engage in the fabrication, assembly, and integration of subsystems, ensuring robust autonomous functionalities.
• Mentor and provide technical guidance to junior engineers, encouraging a culture of innovation and excellence within the team.

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

• Possess a Bachelor’s degree in Computer Science, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or a combination of equivalent level experience/education/certifications.
• At least 3 years relevant experience in autonomy and embedded system development.
• Have experience with real-time operating systems (RTOS), embedded systems development, and hardware/software co-design for resource-constrained platforms.
• Are proficient in programming languages such as but not limited to Python, C++, Java, and experience with the ROS, as well as experience with software development tools and libraries.
• Demonstrate excellence in written and verbal communication skills, with a commitment to contributing to an inclusive and diverse workplace.
• Have familiarity with common sensor technologies and data processing techniques used in autonomous systems, such as point cloud processing, SLAM, and object detection/tracking.
• Are able to obtain a 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...

• Possess a Master's degree in artificial intelligence and/or at least 8 years relevant experience in autonomy and embedded system development.
• Have experience with UxS control systems (e.g., ArduPilot, Betaflight, PX4) and working knowledge of UxS architectures, flight-critical software, and aircraft performance.
• Are proficient in languages for System-on-Module (SoM) platforms (e.g., C++ and Python), with a strong grasp of algorithms and data structures.
• Have experience with sensor technologies commonly used in autonomous systems, such as LiDAR, cameras, IMUs, GPS, and RADAR, including sensor calibration, data fusion, and sensor fusion algorithms.
• Are familiar with path planning algorithms (e.g., Dijkstra, A) and a proactive approach to problem-solving.
• Currently possess an Active Department of Defense Secret security clearance with ability to obtain a Top Secret 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 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.

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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.