System Test Engineer -Control Segment/ Principal System Test Engineer -Control Segment

About the role

The role involves developing advanced algorithms for autonomous systems, focusing on machine learning and artificial intelligence applications.

Responsibilities

• Design and implement machine learning models for autonomous vehicle navigation.
• Collaborate with cross-functional teams to integrate AI solutions into product development processes.
• Analyze large datasets to improve model accuracy and efficiency.
• Contribute to the documentation and presentation of project findings.

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, or related field.
• 3+ years of experience in machine learning and AI development.
• Proficiency in Python and TensorFlow.
• Strong understanding of deep learning concepts and neural networks.
• Experience with cloud-based platforms like AWS or Google Cloud.

Qualifications

• Passionate about cutting-edge technology and innovation.
• Excellent problem-solving skills and ability to work independently.
• Ability to manage multiple projects simultaneously and meet deadlines.
• Good communication skills, both written and verbal.

Skills

• Python programming.
• Deep learning frameworks (TensorFlow, PyTorch).
• Data analysis and visualization tools (Matplotlib, Seaborn).
• Cloud computing (AWS, Google Cloud).

Benefits

• Competitive salary package.
• Flexible working hours.
• Professional development opportunities.
• Health insurance coverage.
• Employee discounts on Northrop Grumman products and services.

Pay

$80,000 - $120,000 annually based on experience.

Schedule

Full-time, Monday through Friday, 9 AM to 5 PM.