Engineer/Principal Engineer - Survivability (Melbourne FL)

About the role

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

Responsibilities

• Design and implement machine learning models for autonomous systems.
• Collaborate with cross-functional teams to integrate models into software systems.
• Analyze system performance and make necessary adjustments.
• 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 Kubernetes is preferred.

Qualifications

Must have strong analytical skills and be able to work independently. Proficiency in C++ and familiarity with cloud platforms like AWS or Azure is beneficial.

Skills

• Strong programming skills in Python and C++.
• Experience with machine learning frameworks such as TensorFlow and PyTorch.
• Familiarity with cloud platforms like AWS or Azure.
• Excellent problem-solving and analytical skills.

Benefits

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

Pay

$100,000 - $120,000 annually.

Schedule

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