Engineer / Principal Systems Engineer - Prognostics / PHM
Northrop Grumman · Melbourne, FL · 2 wk ago
On-siteInformation TechnologyFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing and implementing machine learning models, conducting experiments, and analyzing results.
Responsibilities
- Develop and optimize machine learning models for autonomous systems
- Conduct experiments to test model performance and gather data
- Analyze experimental results and refine models accordingly
- Collaborate with cross-functional teams to integrate models into system prototypes
Requirements
Must have a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, TensorFlow, and Kubernetes is preferred.
Qualifications
- Strong background in machine learning and computer science
- Experience with Python and TensorFlow
- Knowledge of Kubernetes and cloud computing
- Excellent problem-solving and analytical skills
Skills
- Machine Learning
- Python
- TensorFlow
- Kubernetes
- Cloud Computing
Benefits
Competitive salary, comprehensive health insurance, flexible work schedule, professional development opportunities.
Pay
$80,000 - $100,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM