Principal Process Engineer
Northrop Grumman · Plymouth, MN · 1 mo ago
On-siteManufacturingFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing and implementing machine learning models that can operate in complex environments.
Responsibilities
- Develop and optimize machine learning models for autonomous systems
- Collaborate with cross-functional teams to integrate AI solutions into existing systems
- Conduct research on emerging technologies and their applications in autonomous systems
- 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, be able to work independently, and demonstrate proficiency in problem-solving.
Skills
- Proficiency in Python and other programming languages
- Knowledge of machine learning frameworks like TensorFlow
- Experience with cloud platforms such as AWS or Google Cloud
- Strong understanding of computer vision and robotics
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