Overview
On Site
USD 81,250.00 - 146,875.00 per year
Full Time
Skills
Data
Security engineering
Analytics
Signals intelligence
FOCUS
Data Science
Computer science
Computer engineering
TensorFlow
PyTorch
scikit-learn
Pandas
Apache Kafka
Apache ActiveMQ
Security clearance
Linux
Software development
Embedded systems
Artificial intelligence
Machine Learning (ML)
Graph databases
Neo4j
Apache Accumulo
HDFS
Apache Spark
Programming languages
C
C++
Java
Python
Golang
Rust
Docker
Kubernetes
Virtualization
Kernel-based Virtual Machine
VMware ESXi
Cloud computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Network design
Protocol analysis
Computer networking
Algorithms
Market analysis
Law
Job Details
Description
Are you ready for a rewarding career opportunity? Unleash your potential at Leidos, where we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customer's success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.
Our Mission, Vision, and Values guide the way we do business. With Leidos, you're joining a Fortune 500 company and one of Ethisphere Institute's "World's Most Ethical Companies," bringing a mix of innovative technology and sector expertise to customers in the national security, engineering, and health industries. If this sounds like an environment where you can thrive, keep reading!
The Cyber Analytics SIGINT Solutions Division at Leidos currently has an opening for a Software Engineer with a focus on Data Science and Machine Learn in Columbia, MD.
Basic Qualifications
Preferred Qualifications
Original Posting Date:
2024-09-10
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.
Are you ready for a rewarding career opportunity? Unleash your potential at Leidos, where we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customer's success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.
Our Mission, Vision, and Values guide the way we do business. With Leidos, you're joining a Fortune 500 company and one of Ethisphere Institute's "World's Most Ethical Companies," bringing a mix of innovative technology and sector expertise to customers in the national security, engineering, and health industries. If this sounds like an environment where you can thrive, keep reading!
The Cyber Analytics SIGINT Solutions Division at Leidos currently has an opening for a Software Engineer with a focus on Data Science and Machine Learn in Columbia, MD.
Basic Qualifications
- Bachelor's degree in an Engineering field (Computer Science or Computer Engineering Preferred)
- 4+ years of experience with Linux and software development.
- Development experience with one or more relevant programming languages (e.g., C, C++, Java, Python, Golang or Rust etc.).
- Experience with Machine Learning toolsets and development with one or more of the following (Tensor Flow, PyTorch, LLMs, scikit-learn, pandas or similar)
- Experience with ETLT pipelines and toolsets (e.g. Kafka, Pulsar, ActiveMQ or similar)
- Experience with containerization (e.g., Docker, Kubernetes) and Virtualization (KVM, ESXi) and Cloud technologies (AWS, Google Cloud Platform).
- Experience with fundamental networking implementations and concepts.
- Eligible for Top Secret Security Clearance with Polygraph
- ship required
Preferred Qualifications
- Enthusiasm and an interest in contributing to projects that are important to operational programs.
- Extensive experience with Linux and software development.
- Development experience with low level or embedded programming (C, C++).
- Operational application of AI/ML.
- Experience with graph databases (e.g. PyG, Neo4j).
- Experience with Accumulo/HDFS.
- Experience with Spark.
- Development experience with one or more relevant programming languages (e.g., C, C++, Java, python, Golang or Rust etc.).
- Experience with containerization (e.g., Docker, Kubernetes) and Virtualization (KVM, ESXi) and Cloud technologies (AWS, Google Cloud Platform).
- Experience with fundamental networking implementations and concepts.
- Experience with network design, protocol analysis & troubleshooting tools and techniques.
- Experience in networking and protocol-oriented programing and algorithms.
- A strong interest in figuring out how things work and understanding them at a fundamental level.
Original Posting Date:
2024-09-10
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.