$180,000 - $270,000; not specified; not specified ...
Onsite
Signal collection and processing
Algorithm development and simulation
Time series and spectral domains
As a EW Senior Signal Processing Engineer, you will be responsible for research, design, and development of signal collection, processing and dissemination systems
Job Summary
As a EW Senior Signal Processing Engineer, you will be responsible for research, design, and development of signal collection, processing and dissemination systems.
The ideal candidate will possess superior analytical and problem-solving skills, operate independently with limited supervision and feedback, be a strong team player, and have the ability to establish solid working relationships with technical staff members and peers within the division as well as our external Government customers.
At Leidos, we offer competitive benefits http://www.leidos.com/careers/pay-benefits, including 4 or more weeks Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more.
Matching Summary
As a EW Senior Signal Processing Engineer, you will be responsible for research, design, and development of signal collection, processing and dissemination systems.
Salary
$180,000 - $270,000; Not specified; Not specified
Skills & Requirements
Must-have
Signal collection and processing
Algorithm development and simulation
Time series and spectral domains
Technical Team Lead
Lab and field testing
Active Secret clearance
Nice-to-have
Superior analytical skills
Operate independently
Strong team player
Business development initiatives
Disrupt, provoke, and refuse to fail
Key Requirements
Bachelors with 12+ years relevant experience
Masters with 10+ years relevant experience
Fluent with MATLAB, Linux, Mathematica, Python, Simulink
Fluent with C/C++, Java
Working knowledge of digital filtering
Working knowledge of spectral estimation
Working knowledge of detection and estimation theory