Embedded Software Engineer (San Diego)

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 product development
• Conduct research on emerging technologies and their applications in autonomous systems
• Write comprehensive technical documentation for model deployment and maintenance

Requirements

Minimum of a Master's degree in Computer Science, Electrical Engineering, or related field. Experience with Python, TensorFlow, and Kubernetes is required.

Qualifications

• Strong analytical skills and ability to solve complex problems
• Experience with deep learning frameworks and cloud computing platforms
• Excellent communication and teamwork skills

Skills

• Python programming
• TensorFlow/Keras
• Cloud computing (AWS/GCP)
• Machine learning algorithms
• Software development lifecycle

Benefits

Competitive salary, flexible work schedule, 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