Senior Staff Software Engineer, NPI Readiness
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- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical 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.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience designing, building and shipping large-scale distributed systems, specifically building and deploying purpose-built ML infrastructure, including ML hardware to run planet-scale AI/ML models for training and inference workloads.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The New Product Introduction (NPI) and Platform Readiness team within AI hypercomputer infrastructure organization helps bring new Tensor Processing Unit (TPU) and Graphics Processing Unit (GPU) generations to the Google Cloud platform and enables end-to-end AI/ML compute experience for Google Cloud users. We help bring up and qualify the complete Cloud TPU and Cloud GPU hypercomputer stack, including virtual machines, networking, storage, Google Kubernetes Engine (GKE) and software tool chains, etc.
We build and deliver the telemetry infrastructure for both the GPU/TPU fleet as well as the critical AI/ML workloads. We optimize the stability and performance for high priority AI/ML workloads across the stack. We also do model benchmarking and optimizations for standard models during the NPI process.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Build and lead strategic technical alignment with major organizations across Google to accelerate the velocity of bringing the machine learning hardware to Google Cloud with dynamic and engaged Time to Mitigate (TTM) goals.
- Develop and execute multi-year plans for validating end-to-end stack for TPU 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 Uber Tech Lead (UTL).
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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