Sentinel Principal Program Cost and Schedule Control Analyst (11997-2)
Northrop Grumman · Roy, UT · 1 wk ago
On-siteFinanceFull-time
About the role
The role involves developing advanced algorithms for autonomous systems, working closely with cross-functional teams to ensure system reliability and performance.
Responsibilities
- Design and implement machine learning models for autonomous vehicle navigation
- Collaborate with software engineers to integrate AI solutions into vehicle systems
- Conduct regular testing and debugging to ensure system stability
- Stay updated on the latest research trends in AI and autonomous systems
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related field
- 3+ years of experience in AI and machine learning development
- 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 advancing technology for safer transportation
- Ability to work in a fast-paced, dynamic environment
- Good communication skills to collaborate with cross-functional teams
Skills
- Deep Learning
- Computer Vision
- Autonomous Systems
- Python
- Machine Learning
Benefits
- Competitive salary package
- Flexible work schedule
- Professional development opportunities
- Health and wellness programs
Pay
$80,000 - $100,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM