Sentinel Staff Environmental Engineer - 18094
Northrop Grumman · Roy, UT · 1 mo ago
On-siteEngineeringFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing machine learning models and integrating them into complex software systems.
Responsibilities
- Develop and optimize machine learning models for autonomous vehicle navigation
- Collaborate with cross-functional teams to integrate AI solutions into existing systems
- Conduct research on emerging technologies and their applications in autonomous systems
- Write comprehensive technical documentation for model development and integration processes
Requirements
Must have a strong background in computer science, engineering, or a related field. Experience with Python, TensorFlow, and Kubernetes is preferred.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field
- Minimum 3 years of relevant work experience in AI/ML development
- Proficiency in programming languages such as Python and experience with frameworks like TensorFlow
- Knowledge of cloud platforms like AWS or Google Cloud
- Experience with Kubernetes for container orchestration
Skills
- Machine Learning
- Python Programming
- Kubernetes
- Cloud Platforms (AWS, Google Cloud)
- Software Development
Benefits
This role offers competitive compensation, flexible working hours, and opportunities for professional growth within a leading technology company.
Pay
$80,000 - $100,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM