Sentinel - Material Process Engineer - 17992

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 vehicle navigation
• Collaborate with cross-functional teams to integrate sensor data and improve system reliability
• Optimize system performance through algorithmic enhancements and testing

Requirements

Minimum requirements include a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, C++, and deep learning frameworks is essential.

Qualifications

• Strong background in computer science and engineering
• Experience with machine learning and deep learning techniques
• Knowledge of sensor integration and system optimization

Skills

• Proficiency in Python and C++
• Experience with TensorFlow or PyTorch
• Understanding of sensor fusion and system design

Benefits

Competitive salary, comprehensive health insurance, flexible work schedule, professional development opportunities, and a supportive team environment.

Pay

$100,000 - $120,000 annually

Schedule

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