Propulsion Engineering Manager – Level 2

About the role

The role involves developing advanced algorithms for autonomous systems. This includes designing machine learning models and integrating them into complex robotic platforms.

Responsibilities

• Design and implement machine learning models for autonomous systems.
• Collaborate with cross-functional teams to integrate models into robotic platforms.
• Conduct research on emerging technologies to enhance system capabilities.
• Document project progress and results for future reference.

Requirements

Must have a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, C++, and ROS is required. Knowledge of deep learning frameworks like TensorFlow and PyTorch is essential.

Qualifications

• Strong background in computer science and engineering.
• Experience with robotics and autonomous systems.
• Proficiency in programming languages such as Python, C++, and ROS.
• Knowledge of deep learning and neural networks.
• Ability to work independently and as part of a team.

Skills

• Machine Learning
• Robotics
• Deep Learning
• ROS (Robot Operating System)
• Python
• C++

Benefits

Competitive salary, comprehensive benefits package, 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.