Multi-Sensor Fusion and Tracking Engineer

Johns Hopkins Applied Physics Laboratory•Laurel, MD

About The Position

The Multi-Sensor Fusion and Tracking Engineer joins the Distributed Tactical Awareness and Decision-Making Group at the Johns Hopkins University Applied Physics Laboratory (APL). The group addresses command and control challenges involving sensor integration, information fusion, and distributed kill chains. The engineer will help improve and innovate capabilities for defending against air, ballistic missile, and hypersonic threats, with opportunities to develop subject matter expertise in next-generation combat systems and contribute to deployed systems. The role involves analyzing algorithms for sensor data fusion, combat planning, management and optimization decisions, and weapon system employment. The engineer will simulate scenarios to assess performance, use warfighter needs and scholarly literature to prototype tactical algorithms, analyze live test data to inform engineering decisions, and collaborate with multidisciplinary teams. The role may also include visits to Navy ships and work with sailors, officers, and other warfighters.

Requirements

Bachelor of Science in Engineering, Computer Science, Physics, Applied Math, or an equivalent field.
At least 2 years of experience in tracking, filtering, sensor fusion, or a related field.
Proficiency with C++, Java, Python, MATLAB, or similar programming languages.
Comfort applying mathematics, especially probability and statistics.
Ability to work independently and as part of a team.
Good written and oral communication skills.
Active Top Secret or higher security clearance.

Nice To Haves

At least 5 years of experience in tracking and sensor fusion or a related field.
Experience with machine learning methods and algorithms.
Experience with sensor netting systems such as Cooperative Engagement Capability, Integrated Battle Command System, or Common Aviation Command and Control System.

Responsibilities

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

Benefits

Education assistance program.
Retirement contributions and plans.
Paid time off.
Medical insurance.
Dental insurance.
Vision insurance.
Life insurance.
Short-term disability insurance.
Long-term disability insurance.
Flexible spending accounts.
Training and development.
Potential sign-on bonus, relocation benefits, locality allowance, or discretionary payments for exceptional performance, subject to eligibility and policy.