Principal Engineer Facilities/Sr. Principal Engineer Facilities
Northrop Grumman · Clearfield, UT · 1 mo 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 vehicle navigation
- Collaborate with cross-functional teams to integrate sensor data and improve system reliability
- Optimize system performance through continuous testing and refinement
- Contribute to project documentation and presentations
Requirements
Must have a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, C++, and TensorFlow is required. Knowledge of robotics and sensor integration is preferred.
Qualifications
- Strong analytical skills and ability to solve complex problems
- Excellent communication and teamwork abilities
- Ability to work independently and manage multiple tasks simultaneously
Skills
- Python programming
- C++ programming
- TensorFlow framework
- Robotics and sensor integration
Benefits
Competitive salary, comprehensive health insurance, flexible working hours, professional development opportunities, and a supportive team environment.
Pay
$100,000 - $120,000 annually
Schedule
Full-time, Monday to Friday, 9 AM to 5 PM