Jobs · Finance · Utah

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.

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