Principal Engineer Quality

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.
• Collaborate with cross-functional teams to integrate sensor data and improve system performance.
• Conduct regular testing and debugging of developed systems.
• Stay updated with the latest advancements in AI and machine learning.

Requirements

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

Qualifications

• Strong background in computer science or related fields.
• Experience with machine learning frameworks such as TensorFlow.
• Excellent problem-solving skills and ability to work independently.
• Ability to work in a fast-paced, dynamic environment.

Skills

• Proficiency in Python and C++.
• Knowledge of machine learning algorithms and techniques.
• Experience with sensor integration and system optimization.

Benefits

Competitive salary, comprehensive health insurance, flexible working hours, professional development opportunities, and a supportive team culture.

Pay

$80,000 - $100,000 annually.

Schedule

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