Multi-Sensor Fusion and Tracking Engineer

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

Benefits offered by this job

Education assistance

Retirement plan

Paid time off

Health benefits

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) in Laurel, MD invites you to join the Distributed Tactical Awareness and Decision-Making group. You will help develop and validate algorithms for sensor data fusion, combat planning, and weapon system employment, while simulating scenarios to improve performance.

You will work with cross‑disciplinary teams, analyze live test data, and have opportunities to visit Navy ships and work with warfighters.

Qualifications

• B.S. in Engineering, Computer Science, Physics, Applied Math or equivalent field.
• 2+ years of experience in tracking, filtering, and sensor fusion or related field.
• Proficient with C++, Java, Python, MATLAB, or similar languages.
• Comfortable applying mathematics, especially probability and statistics.
• Able to work independently and in a team.
• Strong 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 improvements.
• Parse warfighter needs from literature to prototype tactical algorithms.
• Analyze data from live test events to inform engineering decisions.
• Collaborate with cross‑disciplinary teams and share work externally and internally.
• Occasional visits to Navy ships and collaboration with sailors and warfighters.

Skills

C++

Java

Python

MATLAB

Probability & statistics

Communication

Teamwork

Security clearance

Education

B.S. in Engineering or equivalent

Job description

Description

Do you want to make critical contributions to how the US Navy fights?

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!

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

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

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

About Us

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