Senior Software Engineer, AI, TPU Infrastructure

• Partner with Tensor Processing Unit (TPU) Software/Hardware teams to design, develop, and validate standalone TPU-based systems.

• Build and integrate cloud compute software to successfully bootstrap TPU AI infrastructure.

• Drive high-quality, timely project delivery while maintaining rigorous engineering standards within your team.

• Collaborate with cross-functional leaders to strategically shape the future of our AI infrastructure.

• Provide technical guidance and mentorship to foster the growth and development of team members.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience with software development in one or more programming languages.

• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Preferred qualifications:

• Proficiency in C++ with proven experience in advanced software development.

• Strong understanding of cloud or data center compute and storage technologies.

• Familiarity with software for AI infrastructure, reference operating system, storage, and TPUs.

• Excellent problem-solving and cross-functional communication skills in fast-paced environments.

• Passion for machine learning and deepening knowledge of hardware/software stacks.