Overview
On Site
USD 100,900.00 - 176,600.00 per year
Full Time
Skills
Value Engineering
Research and Development
Computer Hardware
Electronic Warfare
ISR
Sensors
IT Service Management
Research
RF
Data Processing
Deep Learning
Cloud Computing
Parallel Computing
Database
Training
Git
Management
Collaboration
DevOps
Version Control
Change Management
Release Management
Modeling
Electrical Engineering
Computer Engineering
Computer Science
Physics
Python
C
Java
C++
Statistics
Signal Processing
Acquisition
Resource Management
Interfaces
Artificial Intelligence
Machine Learning (ML)
Computer Vision
Algorithms
PyTorch
NumPy
Pandas
OpenCV
Docker
Security Clearance
Art
Life Insurance
AIM
Quest
Recruiting
Fraud
Reporting
Job Details
In a world of possibilities, pursue one with endless opportunities. Imagine Next!
When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with exceptional people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We've got what you're looking for.
Job Description:
Parsons is seeking a Software Engineer with a strong background in Machine Learning specifically in the areas of Artificial Intelligence (AI), Deep Learning (DL), and RF signal processing applications to participate in on-going radar research and development (R&D) efforts at one of the Army's R&D Centers of Excellence at Aberdeen Proving Ground (APG), Maryland. You will have the opportunity to use your experience and knowledge to develop hardware and software to improve the signal processing of current and next generation RF systems including radar, EW and ISR sensors.
Duties include:
Qualifications:
Desired Qualifications:
Minimum Clearance Required to Start:
Secret
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $100,900.00 - $176,600.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to
When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with exceptional people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We've got what you're looking for.
Job Description:
Parsons is seeking a Software Engineer with a strong background in Machine Learning specifically in the areas of Artificial Intelligence (AI), Deep Learning (DL), and RF signal processing applications to participate in on-going radar research and development (R&D) efforts at one of the Army's R&D Centers of Excellence at Aberdeen Proving Ground (APG), Maryland. You will have the opportunity to use your experience and knowledge to develop hardware and software to improve the signal processing of current and next generation RF systems including radar, EW and ISR sensors.
Duties include:
- Provide analysis, requirements and algorithm design, implementation, integration, verification, and maintenance of artificial intelligence software systems. Collaborate across multi-functional teams to identify opportunities for improving the IT services enterprise.
- Research and implement state-of-the-art Machine Learning (ML) technologies tailored for application to RF data processing.
- Exercise a strong knowledge of software systems, artificial intelligence (AI), Deep Learning, design methods, and system of systems architectures.
- Understand supporting technologies including cloud computing, containerization (for deployment), parallelization (for training), databases (for training data), and Git (for code management).
- Collaborate across multi-functional teams to identify opportunities for improving the Advanced Engineering and Modeling and Simulation Experimentation Environment and Solutions.
- Participate in algorithmic design and machine learning frameworks including classification and targeting techniques.
- Understand and follow development operations procedures such as source control, change management and release planning.
- Integrate AI engine/ techniques with Modeling and Simulation Applications.
Qualifications:
- BS in Electrical Engineering, Computer Engineering, Computer Science, Physics or similar field
- 2-3 years of experience with Artificial Intelligence and/or Machine Learning in complex software systems
- Programming in a compiled language such as Python (preferred), C, Java, or C++
- Experience with performing statistical analysis of datasets and algorithm performance
- US Government Secret Clearance
Desired Qualifications:
- Knowledge of domain specific radar principles, including signal processing; target acquisition; target tracking; resource management; discrimination; and battle manager interfaces
- Knowledge of AI/ML enabled computer vision algorithms
- Familiarity with PyTorch, Numpy, Pandas, & OpenCV toolboxes
- Familiarity with code containerization techniques (e.g., Docker)
Minimum Clearance Required to Start:
Secret
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $100,900.00 - $176,600.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to
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.