Electronic Warfare M&S Engineer, Mid

Job Description

Electronic Warfare M&S Engineer, Mid
The Opportunity
:
As an engineer or physicist, you understand the workings behind complex systems. That
knowledge
is key when it comes to developing the next generation of Electronic
War
fare technologies and solutions. We're looking for an electrical engineer or physicist who can use their skills to provide the U.S.
war
fighter cutting edge capabilities in modeling and simulation
(
M
&
S
)
of the RF Spectrum.
At Booz Allen, you'll use your engineering skills to develop new architecture models and architecture frameworks. Our team develops models of existing and emerging ground-based systems involved in air defense. That's why we need you, someone with a background in signal processing, to help us develop algorithms and
sof
t
war
e for the modeling of modern radar signal space.
On our team, you'll utilize programming languages such as C or C++, MATLAB, and Python to develop models of signal processing and Electronic
War
fare techniques. You'll impact users in defense and intelligence communities by designing, developing, evaluating, and improving M
&
S techniques,
sof
t
war
e, and algorithms. This is a chance to use your signal processing and programming skills while gaining
experience
in M
&
S.
Take on exciting challenges with us as we improve the Electronic
War
fare environment for the
war
fighter.

Join us. The world can't wait.

You Have:
5+ years of
experience
in signal processing or radar analysis
Knowledge
of digital signal processing, C++, and Python
Ability to
work independently and as part of a group
Ability to
obtain a Secret clearance
Bachelor's degree
in Electrical Engineering, Computer Science, Computer Engineering, or Physics
Nice If You Have:
Experience
in Agile
sof
t
war
e development
Experience
with statistical analysis, AI or ML, and mathematical optimization
Knowledge
of Electronic
War
fare
met
hods and analysis, mission analysis, and signals analysis
Top Secret clearance
Master's degree
in Electrical Engineering preferred
;

Doctorate degree
in Electrical Engineering a plus
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information
.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on
your
own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited
unless permission is explicitly provided
.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
Remote
: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid
: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite
: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Minimum Qualifications

5+ years of experience in signal processing or radar analysis Knowledge of digital signal processing, C++, and Python Ability to work independently and as part of a group