Principal Engineer Software - Integration and Test

About the role

The role involves developing advanced algorithms for autonomous systems. This includes designing and implementing machine learning models, conducting experiments, and analyzing results.

Responsibilities

• Develop and optimize machine learning models for autonomous systems
• Conduct experiments to test model performance and gather data
• Analyze experimental results and refine models accordingly
• Collaborate with cross-functional teams to integrate models into system architecture

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, be able to work independently, and have a passion for innovation in AI and robotics.

Skills

• Proficiency in Python and TensorFlow
• Experience with Kubernetes and cloud-based environments
• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities

Benefits

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

Pay

$80,000 - $100,000 annually

Schedule

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