Signal Processing Software Engineer at Leidos

Description

Do you want to join a high performing team that values integrity, innovation, and collaboration with a company whose mission is to make the world safer, healthier, and more efficient through information technology, engineering and science? Are you interested making a difference by applying your software and signal processing skills toward state-of-the-art research and development problems? Leidos currently has an exciting opening for a signal processing software engineer to work in our Ann Arbor, Michigan or Beavercreek, Ohio office. 

We are leaders in the exploitation of airborne and satellite imagery for automated target detection and classification. We are looking for someone to join our technical team who can immediately start supporting our existing research programs. This is an opportunity to use your software expertise to conduct applied research, software development, and transition new and innovative solutions to address difficult surveillance problems in the defense and intelligence communities. You will interact with customers, grow to lead technical projects areas, and have the opportunity to pursue growth in new technologies. This position requires about three quarters of the job duties to be performed onsite due to the sensitive nature of this work and the desire for in-person collaboration, however we offer flexible in-office hours and the ability to perform some job duties remotely.

The opportunity to transform image and signal data into actionable information awaits!   

Primary Responsibilities:
•    Working with teams on the research, design, and development of sensor exploitation systems including signal processing, automatic target recognition, fusion, and performance modeling.
•    Collaborating with our customers to address challenging mission requirements by researching and developing new capabilities as well as making improvements to existing systems. 
•    Rapidly and iteratively implement new algorithms to address these challenges.
•    Develop algorithms using Python, MATLAB, C++, and other languages for real world applications.
•    Provide technical leadership for tasks and programs

Basic Qualifications:
•    Bachelor’s degree with 2+ years or Master's degree with experience in Computer Science, Electrical Engineer, Physics, or Applied Mathematics.
•    Strong programming ability in Python, C/C++, and Java for Linux enviroments
•    Knowledge of code configuration control
•    Ability to effectively communicate technical solutions to coworkers, teammates, and customers.
•    Active SECRET clearance or higher, with an ability to obtain a TS/SCI clearance
•    US Citizenship Required    

Preferred Qualifications:
•    Experience with decision and feature level algorithm development
•    Experience working with RADAR/SAR image data
•    Experience in designing and implementing algorithms involving one or more of the following: classification, clustering, computer vision, deep learning, decision making, AI explainability, stochastic processes, detection and estimation theory, information theory, Bayesian inference of time varying systems, tracking and data fusion
•    Have experience developing AI/ML research prototypes in code, using scikit-learn, Tensorflow, PyTorch, or similar machine learning frameworks in Python
•    Have experience using high-performance computing structures like GPUs and CPU clusters   
 

LInC

Electronice Warfare

Original Posting Date:

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:

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.