Guidance Navigation and Controls Engineer in Laurel

Energy Jobline ZR; Laurel (MS); On-site; USD 100,000 - 245,000; Full time

Job summary

Johns Hopkins University Applied Physics Laboratory is seeking a Guidance, Navigation, and Controls Engineer to design, implement, and test estimation, guidance, navigation, and control algorithms for autonomous vehicles and robotic systems. You will develop state estimation, sensor fusion, and trajectory planning, while collaborating with software engineers and domain experts to deploy capabilities across lab, flight, maritime, and field tests.

A Secret clearance and U.S.

Qualifications

• You meet a BS in aerospace, mechanical, electrical, computer engineering, robotics, applied mathematics, physics, or related field.
• 2+ years of software, algorithm, model, or analysis tool experience.
• Experience in guidance, navigation, control, estimation, robotics, autonomy, dynamics, or related disciplines.
• Proficiency in MATLAB, Python, C++, or similar tools.
• Experience analyzing system performance via simulation, testing, or data.
• Strong interpersonal and communication skills for multidisciplinary teamwork.
• Willingness to travel for lab, flight, and field testing.
• Active Secret security clearance and U.S. citizenship requirements.

Responsibilities

• Design, develop, analyze, and test estimation, guidance, navigation, and control algorithms for autonomous vehicles and robotic systems.
• Develop and implement control, state estimation, sensor fusion, and trajectory planning algorithms.
• Model, simulate, and evaluate system performance using MATLAB, Python, and C++ in simulations and tests.
• Collaborate with software engineers, roboticists, and domain experts to integrate autonomy capabilities.
• Support laboratory, flight, maritime, and field testing, analyze results, improve robustness.
• Contribute to technical reports, presentations, and transition of concepts to deployed capabilities.

Skills

Programming experience

Team collaboration

Communication skills

Travel willingness

Problem solving

Education

BS in engineering or related field

Tools

MATLAB

Python

C++

Job description

Job DescriptionDescription

Do you love developing and fielding advanced guidance, navigation, and control algorithms?

Are you searching for important work in autonomous systems and robotics?

Are you passionate about solving challenging real-world engineering problems?

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

We are seeking a Guidance, Navigation, and Controls Engineer to help us develop, test, and deploy autonomy solutions for next- ground, maritime, and aerial robotic systems. As a member of our team, you'll contribute to the design, implementation, and evaluation of estimation, guidance, navigation, and control algorithms that enable autonomous platforms to operate safely and effectively in challenging real-world environments. You will join a collaborative team of engineers and scientists who work together to develop innovative solutions to complex challenges. Our work spans algorithm development, simulation, integration, and field testing, providing opportunities to see your ideas transition from concept to operational capability. We are committed to technical excellence, continuous learning, and mentoring, and we strive to foster an environment where team members support one another, share knowledge, and grow professionally. Our team values initiative, collaboration, adaptability, and a willingness to tackle difficult problems together.

As a Guidance, Navigation, and Controls Engineer

• Your primary responsibility will be designing, developing, analyzing, and testing estimation, guidance, navigation, and control algorithms for autonomous vehicles and robotic systems.
• You will develop and implement control, state estimation, sensor fusion, and trajectory planning algorithms for autonomous platforms.
• You will model, simulate, and evaluate system performance using tools such as MATLAB, Python, and C++ in both simulation and real-world testing environments.
• You will collaborate closely with multidisciplinary teams of software engineers, roboticists, and domain experts to integrate autonomy capabilities onto operational systems.
• You will support laboratory, flight, maritime, and field testing activities, analyze test results, and improve system performance, robustness, and reliability.
• You will contribute to technical reports, presentations, and the transition of research concepts into deployed capabilities.

Qualifications

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

• Possess a BS in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, Robotics, Applied Mathematics, Physics, or a related technical field.
• Have 2+ years of experience developing software, algorithms, models, or analysis tools for engineering systems.
• Have experience in one or more of the following areas: guidance, navigation, control, estimation, robotics, autonomy, dynamics, or related technical disciplines.
• Are proficient in MATLAB, Python, C++, or similar technical computing and software development tools.
• Have experience analyzing system performance through simulation, testing, and experimental data.
• Demonstrate strong interpersonal and communication skills and can effectively collaborate with multidisciplinary teams in both laboratory and field environments.
• Maintain professionalism, composure, and sound judgment while working in dynamic, fast-paced test environments where priorities and plans may change rapidly.
• Are willing and able to support laboratory, field, and flight testing activities, including occasional travel.
• Hold an active 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 MS or PhD focused on guidance, navigation, control, robotics, aerospace systems, autonomous systems, machine learning, or a related discipline.
• Have experience designing, implementing, and tuning feedback control systems.
• Have experience developing state estimation or sensor fusion algorithms such as Kalman filters, Extended Kalman Filters, or particle filters.
• Have experience with autonomous air, maritime, ground, or space systems.
• Have experience with ROS, embedded systems, real-time software, or hardware-in-the-loop simulation environments.
• Have demonstrated proficiency in modern C++ software design and development practices.
• Have participated in field experiments, flight tests, maritime tests, or operational demonstrations.
• Have authored technical publications, contributed to open-source projects, or led significant technical efforts.
• Can independently drive technical tasks from concept through implementation, testing, and deployment.

About Us

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 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 , creed, , , , or expression, , , , physical or mental , 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 [emailprotected].

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 , long-term , flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Minimum Rate

$100,000 Annually

Maximum Rate

$245,000 Annually