Staff Software Engineer, ML Systems, Accelerators

Google; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google in Sunnyvale, CA is seeking a Staff Software Engineer for ML Systems and Accelerators to lead architecture and delivery of scalable AI infrastructure across GPUs/TPUs. You will drive long-term technical roadmap and cross-functional collaboration with hardware teams, ensuring reliable, high-performance ML platforms for Google Cloud and internal workloads.

The role requires owning outcomes, solving ambiguous problems, and guiding a distributed team to deliver at scale in a fast-paced

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience with software design and architecture.
• Experience with GPU programming, machine learning infrastructure, AI platform, machine learning optimization, and systems infrastructure.

Responsibilities

• Define the architecture and long-term technical roadmap for Google’s accelerator software stacks, focusing on distributed systems, Linux OS, networking, power management, and hardware interfaces.
• Collaborate with HW engineering to design, test, deploy, and debug low-level software across the stack—including firmware, kernel drivers, simulators, and cluster configurations for next-gen TPUs, GPUs, and custom accelerators.
• Provide technical leadership, mentorship, and coaching to a distributed team while fostering cross-functional alignment on goals, timelines, and program outcomes.
• Manage priorities and end-to-end deliverables to power Google's AI hyper-computers and data centers, supporting internal workloads and Google Cloud offerings.
• Drive large-scale technical programs to maximize production health, reliability, and scalability of distributed accelerator systems in partnership with multiple teams.

Skills

C++ programming

Distributed systems

GPU programming

Machine learning infrastructure

Technical leadership

Education

Bachelor's degree or equivalent

Master’s degree or PhD in Engineering/CS

Tools

GPU/TPU Kernel Development

XLA

JAX/PyTorch

Job description

Staff Software Engineer, ML Systems, Accelerators

Google

Sunnyvale, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience with software design and architecture.
• Experience with GPU programming, machine learning infrastructure, AI platform, machine learning optimization, and systems infrastructure.

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.
• 3 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.
• Experience with GPU/TPU Kernel Development, XLA, JAX/PyTorch, and ML Optimizations.

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.

In this role, you will guide the scaling of Google’s most critical AI infrastructure. You will build and direct the team ensuring the production health, rapid capacity turn-up, and flawless stability of our global Graphics Processing Unit (GPU) Superpods. You will serve as the ultimate authority on complex Hardware/Software (HW/SW) interactions, directly accelerating next-gen architectures (like GB300) from New Product Introduction (NPI) to General Availability.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.

Responsibilities

• Define the architecture and long-term technical roadmap for Google’s accelerator software stacks, focusing on distributed systems, Linux OS, networking, power management, and hardware interfaces.
• Collaborate with HW engineering to design, test, deploy, and debug low-level software across the stack—including firmware, kernel drivers, simulators, and cluster configurations for next-gen TPUs, GPUs, and custom accelerators.
• Provide technical leadership, mentorship, and coaching to a distributed team while fostering cross-functional alignment on goals, timelines, and program outcomes.
• Manage priorities and end-to-end deliverables to power Google's AI hyper-computers and data centers, supporting internal workloads and Google Cloud offerings.
• Drive large-scale technical programs to maximize production health, reliability, and scalability of distributed accelerator systems in partnership with multiple teams.

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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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.