Overview
On Site
USD 81,250.00 - 146,875.00 per year
Full Time
Skills
Evaluation
FOCUS
Art
Military
Network
Computer hardware
Demonstrations
Test equipment
Elasticsearch
Enterprise architecture
Metrics
RF
Sensors
Research
Design
Machine Learning (ML)
Artificial intelligence
DoD
Leadership
Electrical engineering
Physics
Electronic warfare
MATLAB
Software development
Signal processing
Communication
Problem solving
Security clearance
Estimating
Modeling
Algorithms
Python
Simulink
C
C++
Verilog
Market analysis
Law
Job Details
Description
Leidos is seeking a Radar Test and Evaluation Engineer with practical experience in the design and/or test of RF and Radar Systems, including Electronic Warfare (EW) techniques and countermeasures.
Today, EW is a growing need - protecting the warfighter and our national security against ever-adapting threats. As part of our team, you will focus on the first steps towards a fully autonomous cognitive EW system. More broadly, you will advance the state of the art in research and advanced applications to support ongoing and future EW programs. You'll simultaneously get to work alongside scientists and experts in these fields to help grow your own knowledge and career.
Primary Responsibilities
Basic Qualifications
Preferred Qualifications
Original Posting Date:
2024-06-25
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $81,250.00 - $146,875.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Leidos is seeking a Radar Test and Evaluation Engineer with practical experience in the design and/or test of RF and Radar Systems, including Electronic Warfare (EW) techniques and countermeasures.
Today, EW is a growing need - protecting the warfighter and our national security against ever-adapting threats. As part of our team, you will focus on the first steps towards a fully autonomous cognitive EW system. More broadly, you will advance the state of the art in research and advanced applications to support ongoing and future EW programs. You'll simultaneously get to work alongside scientists and experts in these fields to help grow your own knowledge and career.
Primary Responsibilities
- Design, develop, and evaluate high-fidelity models of military systems/technologies of interest such as, sensors, weapons, command and control algorithms and components, network links, and EW systems and techniques.
- Define and implement prototype hardware/software necessary to generate RF environments for advanced technology demonstrations.
- Responsible for developing novel RF test fixtures, test equipment, and measurement methods.
- Develop software for implementing electronic support (ES) and electronic attack (EA) algorithms, evaluating electronic warfare metrics, and integrating the software into an electronic warfare testbed.
- Develop a digital radio frequency memory (DRFM) system software model that can process and return I&Q inputs and interface with an RF simulation environment.
- Develop closed-loop digital and RF models to demonstrate and assess adaptive, autonomous, or cognitive sensor systems and implement assessment measures to evaluate machine learning systems.
- Develop, model, and test EW algorithms and systems in Matlab, Python, &/or C++.
- Perform research as part of interdisciplinary teams that design, develop, and deploy machine learning and artificial intelligence algorithms for DoD electronic warfare applications, with the opportunity to move into leadership roles on these teams.
Basic Qualifications
- Bachelor's degree Electrical Engineering, Physics, or related discipline with at least 4+ years of relevant experience in radar/EW systems or master's degree in electrical engineering, Physics, or related discipline with 2+ years of relevant experience in radar/EW systems experience.
- Experience with MATLAB.
- Working knowledge of scientific programming and algorithm development.
- Experience with radar signal processing.
- Demonstrated strong oral and written communication skills.
- Ability to work in a team environment, as well as independently.
- Creativity, strength in problem solving and ability to develop and analyze complex systems are must-have talents for this position.
Preferred Qualifications
- Ability to obtain a Top Secret Clearance
- Working knowledge areas such as digital filtering, spectral estimation, detection and estimation theory, and stochastic processes
- Experience working in areas of modeling and simulation (M&S), radar, adaptive radar, signals processing, algorithm development, or similar fields
- Python, Simulink and languages such as C/C++, Verilog HDL
Original Posting Date:
2024-06-25
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $81,250.00 - $146,875.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.