Senior Staff Software Engineer, Google Cloud AI

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Job Summary:

Google is a leading technology company that develops next-generation technologies to change how billions of users connect and interact with information. They are seeking a Senior Staff Software Engineer to lead the technical strategy and execution for Machine Learning Hardware integration into Google Cloud, ensuring performance and stability for AI/ML workloads.

Responsibilities:

• Build and lead strategic technical alignment with major organizations across Google (PIE, GCE, GKE, GCS, etc.) to accelerate the velocity of bringing the Machine Learning Hardware to Google Cloud with dynamic and engaged Time to Mitigate (TTM) goals.

• Use your extensive expertise in distributed systems and machine learning to develop and execute multi-year plans for validating end to end stack for TPU and GPU Products.

• Ensure that our products deliver performance and stability to make our AI/ML customers successful and meet the demands of the growing business.

• Develop strong collaborative relationships across organizational boundaries with cross-functional teams to achieve the delivery of a high performing end to end stack with components delivered by teams across these organization boundaries.

• Provide technical leadership and mentorship to the team as an overall Über Tech Lead (UTL).

Qualifications:

Required:

• Bachelor’s degree or equivalent practical experience.

• 8 years of experience in software development.

• 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

• 5 years of experience with design and architecture and testing/launching software products.

• 5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

Preferred:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• 8 years of experience with data structures/algorithms.

• 5 years of experience in a technical leadership role leading project teams and setting technical direction.

• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

Company:

Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, California, USA, with a team of 10001 employees. The company is currently Public Company. Google has a track record of offering H1B sponsorships.