Responsibilities

• Design and implement robust machine learning systems for automating PCB design processes.
• Develop infrastructure that efficiently transitions research prototypes into production-ready solutions.
• Collaborate with cross-functional teams to foster innovative solutions that enhance user experience and operational efficiency.
• Optimize existing algorithms and systems for performance and reliability.
• Ensure the scalability and maintainability of ML systems while adhering to best practices in software engineering.
• Stay updated with the latest advancements in machine learning and electrical engineering to continually enhance our offerings.

Requirements

• Bachelor's or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Minimum of 5 years of experience in machine learning system design and implementation.
• Strong programming skills in Python, C++, or similar languages.
• Experience with ML frameworks and libraries such as TensorFlow, PyTorch, or similar.
• Proven ability to work on complex projects and deliver results in a timely manner.
• Excellent problem-solving skills and a passion for innovation.
• Strong communication and teamwork skills.

Benefits

• Competitive salary and equity options.
• Comprehensive health, dental, and vision insurance.
• Flexible work hours and remote work options.
• Opportunities for professional development and continuous learning.
• A collaborative and inclusive work environment that values diverse perspectives.
• Access to cutting-edge technology and tools to perform your best work.