Principal Mission Assurance Engineer - 13174-2
Northrop Grumman · Roy, UT · 1 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 that enhance system performance and reliability.
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
- Document project progress and results for internal review and external stakeholders
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related field
- Minimum 3 years of experience in machine learning and software development
- Strong understanding of machine learning algorithms and neural networks
- Experience with Python, TensorFlow, and/or PyTorch
- Excellent problem-solving skills and ability to work independently
Qualifications
- Passionate about advancing technology and making a difference in autonomous systems
- Ability to work in a fast-paced environment and meet tight deadlines
- Good communication skills to collaborate effectively with team members
Skills
- Machine Learning
- Python
- TensorFlow
- Neural Networks
- Software Development
Benefits
Competitive salary, comprehensive benefits package, professional development opportunities, and a supportive work culture.
Pay
$80,000 - $100,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM