Radar Algorithms Lead – Deputy Team Lead

Leidos LLC; Huntsville (AL); On-site; USD 108,000 - 195,000; Full time

Benefits offered by this job

Health and Wellness programs

Paid Leave and Retirement

Job summary

Leidos is seeking a Radar Algorithms Deputy Team Lead to join the Defense Open Air Sensors Division in Huntsville, AL. You will lead a small team responsible for sub-tasks, cost and schedule, and radar algorithm development.

The role requires strong radar signal processing knowledge, Matlab/Python skills, and the ability to communicate with government customers. Residency in North Alabama or relocation is expected; this is not remote.

Qualifications

• BS or MS in Electrical Engineering with 6–12 years relevant DoD experience.
• Strong radar signal processing knowledge and ability to estimate engineering effort.
• Experience leading small radar modeling or algorithm development teams.
• Ability to read IEEE literature and implement findings.
• Experience mentoring juniors and presenting to government customers.

Responsibilities

• Lead a small team (5) across sub-tasks with cost and schedule responsibility.
• Develop advanced DSP algorithms and radar concepts, including RF modeling.
• Coordinate with IPT leads for technical integration and customer briefings.
• Prepare technical proposals and support deployment across CONUS/OCONUS.

Skills

Radar signal processing

Project management

Mentorship

Customer communication

Matlab

Python

Education

ABET-accredited BS in Electrical Engineering

ABET-accredited MS in Electrical Engineering

Tools

MATLAB

Python

Job description

Leidos is seeking a Radar Algorithms Deputy Team Lead to join the Defense Open Air Sensors Division in Huntsville, AL. You will lead a small team responsible for sub-tasks, cost and schedule, and radar algorithm development.

The role requires strong radar signal processing knowledge, Matlab/Python skills, and the ability to communicate with government customers. Residency in North Alabama or relocation is expected; this is not remote.