Sentinel-Principal Material Process Engineer 17334*
Northrop Grumman · Roy, UT · 1 wk ago
On-siteEngineeringFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing machine learning models, integrating sensor data, and optimizing system performance.
Responsibilities
- Develop and implement machine learning models for autonomous systems.
- Collaborate with cross-functional teams to integrate sensor data and optimize system performance.
- Contribute to the design and testing of new algorithms.
- Stay updated with the latest research in AI and machine learning.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
- 3+ years of experience in software development or machine learning.
- Strong proficiency in Python and other relevant programming languages.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Excellent problem-solving skills and ability to work independently.
Qualifications
- Passionate about artificial intelligence and autonomous systems.
- Ability to work in a fast-paced, dynamic environment.
- Good communication and collaboration skills.
Skills
- Python programming.
- Deep learning frameworks (TensorFlow, PyTorch).
- Data analysis and visualization tools (Matplotlib, Seaborn).
- Software development best practices.
Benefits
- Competitive salary package.
- Flexible working hours.
- Professional development opportunities.
- Health insurance coverage.
- Employee discounts on Northrop Grumman products and services.
Pay
$80,000 - $100,000 annually.
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM.