On-Orbit Execution & Planning Engineer

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 to ensure system reliability.
• Stay updated with the latest advancements in AI and machine learning.

Requirements

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

Qualifications

• Master's degree in Computer Science, Electrical Engineering, or a related field.
• Strong background in machine learning and software development.
• Experience with Python, TensorFlow, and ROS.
• Excellent problem-solving and analytical skills.

Skills

• Machine Learning
• Python
• TensorFlow
• ROS
• Sensor Integration
• System Optimization

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 through Friday, with occasional evening and weekend work as needed.