Ground Test Engineer (GTE)
Northrop Grumman · Edwards, CA · 1 mo ago
On-siteEngineeringFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing and implementing machine learning models, conducting experiments, and analyzing results.
Responsibilities
- Develop and optimize machine learning models for autonomous systems
- Conduct experiments and analyze results to improve system performance
- Collaborate with cross-functional teams to integrate new technologies
- Stay updated with the latest research and trends in AI and machine learning
Requirements
Required qualifications include a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, TensorFlow, and Kubernetes is preferred.
Qualifications
- Master's degree in Computer Science, Electrical Engineering, or a related field
- Strong background in machine learning and deep learning
- Experience with Python, TensorFlow, and Kubernetes
- Excellent problem-solving and analytical skills
Skills
- Machine Learning
- Deep Learning
- Python
- TensorFlow
- Kubernetes
Benefits
Competitive compensation package, comprehensive health insurance, generous vacation time, professional development opportunities, and a supportive work environment.
Pay
$80,000 - $120,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM