Principal Quality Engineer
Northrop Grumman · Baltimore, MD · 4 days ago
On-siteQuality AssuranceFull-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 improve system performance.
- Conduct regular testing and debugging to ensure system reliability.
- Stay updated with the latest advancements in AI and machine learning.
Requirements
Must have a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, TensorFlow, and ROS is preferred.
Qualifications
- Strong background in software development and algorithm design.
- Experience with machine learning frameworks such as TensorFlow and PyTorch.
- Knowledge of robotics and sensor integration.
- Excellent problem-solving and analytical skills.
Skills
- Python programming
- Machine learning
- ROS (Robot Operating System)
- Sensor integration
- System optimization
Benefits
This role offers competitive compensation, comprehensive health insurance, and opportunities for professional growth.
Pay
$80,000 - $100,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM