As a Staff Engineer in the DPG Compute PE Y/Q team, you will be responsible for leading the development of cutting-edge compute technologies. You will work closely with cross-functional teams to design, develop, and deploy scalable and efficient compute solutions. Your expertise in Python, Node.js, Machine Learning, and AWS will be essential in driving innovation and technical excellence in the team.
Key Responsibilities:
- Lead the development of compute technologies, including design, development, and deployment of scalable and efficient solutions.
- Collaborate with cross-functional teams to drive innovation and technical excellence in the team.
- Develop and maintain high-quality software components using Python, Node.js, and other relevant technologies.
- Design and implement Machine Learning models to improve system performance and efficiency.
- Ensure seamless integration with AWS services to support scalable and efficient compute solutions.
Requirements:
- 10+ years of experience in software development, with a strong focus on compute engineering.
- Proven track record of leading technical teams and driving innovation in compute technologies.
- Expertise in Python, Node.js, Machine Learning, and AWS, with a strong understanding of cloud computing and scalability.
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Bachelor's degree in Computer Science or a related field.