Principal Program Cost and Schedule Control Analyst
Northrop Grumman · Layton, UT · 2 mo ago
On-siteFinanceFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing machine learning models, integrating sensor data, and optimizing system performance.
Responsibilities
- Develop and implement machine learning models for autonomous systems.
- Integrate sensor data streams to enhance system functionality.
- Optimize system performance through algorithmic improvements.
- Collaborate with cross-functional teams to ensure seamless integration of new technologies.
Requirements
Required qualifications include a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, C++, and cloud-based platforms is preferred.
Qualifications
Must have strong analytical skills, be proficient in programming languages, and demonstrate a commitment to continuous learning.
Skills
- Proficiency in Python and C++.
- Knowledge of cloud computing platforms like AWS or Google Cloud.
- Experience with machine learning frameworks such as TensorFlow or PyTorch.
- Strong problem-solving and analytical skills.
Benefits
Competitive compensation package, comprehensive health insurance, flexible work schedule, professional development opportunities, and a supportive team environment.
Pay
$80,000 - $120,000 annually.
Schedule
Full-time, Monday to Friday, 9 AM to 5 PM.