Consulting Chief Engineers
Northrop Grumman · San Diego, CA · 2 wk 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
- Write technical documentation and present findings to stakeholders
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
Must have strong analytical skills, ability to work independently, and proficiency in programming languages such as Python and Java.
Skills
- Machine Learning
- Python
- TensorFlow
- Kubernetes
- Problem-solving
- Collaboration
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 through Friday, 9 AM to 5 PM