Principal / Sr. Principal Facilities Engineer - Level 3 or 4
Northrop Grumman · Clearfield, UT · 2 mo ago
On-siteManagementFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing and implementing machine learning models that can operate under various environmental conditions.
Responsibilities
- Develop and optimize machine learning models for autonomous vehicle navigation
- Collaborate with cross-functional teams to integrate AI solutions into existing systems
- Conduct research on emerging technologies to enhance system capabilities
- Write comprehensive documentation for all developed models and systems
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related field
- Minimum 3 years of experience in machine learning and software development
- Strong proficiency in Python and other relevant programming languages
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Knowledge of computer vision and sensor fusion techniques
Qualifications
- Passionate about innovation and problem-solving
- Excellent communication skills to work effectively in a team environment
- Ability to manage multiple projects simultaneously and meet deadlines
- Experience with cloud platforms like AWS or Azure
Skills
- Machine Learning
- Deep Learning
- Computer Vision
- Sensor Fusion
- Python
- Cloud Platforms
Benefits
- Competitive salary package
- Flexible working hours
- Professional development opportunities
- Health insurance
- Retirement plan
Pay
$80,000 - $100,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM