Sr Principal System Administrator

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 algorithms.
• Stay updated with the latest advancements in AI and machine learning.

Requirements

Must have a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, TensorFlow, and ROS is preferred.

Qualifications

• Strong analytical skills and ability to solve complex problems.
• Experience with machine learning frameworks such as TensorFlow and PyTorch.
• Knowledge of robotics and sensor integration.
• Ability to work independently and as part of a team.

Skills

• Proficiency in Python and other programming languages.
• Understanding of computer vision and deep learning concepts.
• Experience with ROS (Robot Operating System).
• Good communication and interpersonal skills.

Benefits

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

Pay

$80,000 - $100,000 annually.

Schedule

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