Multi-Sensor Fusion and Tracking Engineer

Johns Hopkins University Applied Physics Laboratory LLC; Laurel (MD); On-site; USD 100,000 - 245,000; Full time

Job summary

Johns Hopkins University Applied Physics Laboratory (APL) seeks engineers to tackle command and control challenges for sensor integration, information fusion, and distributed kill chains. You will help develop algorithms and validate them on simulations and live tests, contributing to warfighter capabilities and fleet readiness.

Join a team committed to learning, innovation, and collaboration with Navy personnel, sailors, and other warfighters.

Qualifications

• BS in Engineering, Computer Science, Physics, Applied Math or equivalent field.
• 2+ years of experience in tracking, filtering, and sensor fusion.
• Proficient with C++, Java, Python, MATLAB, or similar programming languages.
• Comfortable applying mathematics, especially probability and statistics.
• Like to work both independently and as part of a team.
• Have good written and oral communication skills.
• Active Top Secret or above security clearance.

Responsibilities

• Understand and improve algorithms underpinning sensor data fusion, combat planning, management, and optimization decisions, and weapon system employment.
• Simulate scenarios to assess system performance and identify areas for improvement.
• Parse warfighter needs in conjunction with scholarly literature to prototype tactical algorithms.
• Analyze data from live test events to directly inform engineering decisions.
• Collaborate with cross disciplinary teams and share your work both externally and internally.
• Have opportunities to visit Navy ships and to work with sailors, officers, and other warfighters.

Skills

C++

Java

Python

Probability

Teamwork

Communication

Security clearance

Education

BS in Engineering/CS/Physics/Applied Math or equivalent

Tools

MATLAB

Job description

Description

Do you want to make critical contributions to how the US Navy fights? Are you motivated by defending our nation against air, ballistic missile, and hypersonic threats? Do you enjoy understanding the math, physics, and algorithms that underpin tactical systems in order to quantitatively assess, improve, and innovate warfighting capabilities? If so, we are looking for someone like you to join our team at APL! In the Distributed Tactical Awareness and Decision-Making Group, we work to solve command and control challenges related to sensor integration, information fusion, and distributed kill chains. We are seeking experienced engineers to solve command and control challenges related to sensor integration, information fusion, and distributed kill chains. You will be joining a team passionate about learning, innovating, and enabling the warfighter. You will have the opportunity to build deep subject matter expertise on the next generation of combat systems for the fleet and make real contributions to deployed systems.

As a new member of the Distributed Tactical Awareness and Decision-Making group, you will:

• Seek to understand and improve algorithms underpinning sensor data fusion, combat planning, management, and optimization decisions, and weapon system employment.


• Simulate scenarios to assess system performance and identify areas for improvement.


• Parse warfighter needs in conjunction with scholarly literature to prototype tactical algorithms.


• Analyze data from live test events to directly inform engineering decisions.


• Collaborate with cross disciplinary teams and share your work both externally and internally.


• Have opportunities to visit Navy ships and to work with sailors, officers, and other warfighters.

Qualifications

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

• Have a B.S. in Engineering, Computer Science, Physics, Applied Math or equivalent field.


• Have 2+ years of experience in tracking, filtering, and sensor fusion or a related field.


• Are proficient with C++, Java, Python, MATLAB, or similar programming languages.


• Are comfortable applying mathematics, especially probability and statistics.


• Like to work both independently and as part of a team.


• Have good written and oral communication skills.


• Have an active Top Secret or above security clearance.

You'll go above and beyond our minimum requirements if you...

• Have 5 or more years of experience in tracking and sensor fusion or a related field..


• Have worked with machine learning methods and algorithms.


• Have worked with specific sensor netting systems including the Cooperative Engagement Capability, the Integrated Battle Command System, or Common Aviation Command and Control System.

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 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 [e-mail].

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.

Minimum Rate

$100,000 Annually

Maximum Rate

$245,000 Annually