Materials Process Engineer Level 3 or 4
Northrop Grumman · Sunnyvale, CA · 2 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 performance analysis, and collaborating with cross-functional teams.
Responsibilities
- Develop and optimize machine learning models for autonomous systems
- Analyze system performance and make necessary adjustments
- Collaborate with software engineers and other technical teams to integrate solutions
- 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, TensorFlow, and Kubernetes is required. Strong analytical skills and ability to work independently are essential.
Qualifications
- Master's degree in Computer Science, Electrical Engineering, or a related field
- Minimum 3 years of relevant experience in machine learning and software development
- Proficiency in Python, TensorFlow, and Kubernetes
- Strong problem-solving and analytical skills
Skills
- Machine Learning
- Python
- TensorFlow
- Kubernetes
- Software Development
Benefits
Competitive salary, comprehensive health insurance, generous vacation time, professional development opportunities, and a supportive work environment.
Pay
$100,000 - $120,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM