Sr Principal Software Engineer - DevSecOps / DevOps

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

• Develop and optimize machine learning models for autonomous vehicle navigation
• Collaborate with cross-functional teams to integrate AI solutions into existing systems
• Conduct research on emerging technologies and their applications in autonomous systems
• Write technical documentation and present findings to stakeholders

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 demonstrate proficiency in problem-solving.

Skills

• Proficiency in Python and TensorFlow
• Experience with Kubernetes and cloud computing
• Knowledge of computer vision and natural language processing
• Excellent communication and collaboration skills

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