Senior Staff Software Engineer, AI/ML, Google Cloud Compute Infrastructure

Google LLC; Sunnyvale (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google LLC in Sunnyvale, CA is seeking a Senior Staff Software Engineer, AI/ML for Google Cloud Compute Infrastructure. You will shape the future of AI/ML hardware acceleration, leading TPU architecture and integration within high‑scale AI systems.

This role demands hands‑on design, verification, and cross‑disciplinary leadership. You’ll drive the hardware/software co‑design roadmap, build simulation and performance tools, and mentor teams across hardware, compiler, and ML research.

Qualifications

• Bachelor's degree or equivalent in CS/EE or related field.
• 8+ years in software development, systems engineering, or related fields.
• 5+ years in ML systems, architecture, performance modeling, or simulations.
• Experience with ML frameworks (JAX, PyTorch, TensorFlow) and LLM workloads.

Responsibilities

• Lead technical goal, roadmap, and software architecture for hardware/software co-design for large-scale ML systems.
• Design and oversee simulation frameworks, performance models, and analysis tools.
• Architect scalable software, kernels, and execution pipelines linking ML models to custom silicon.
• Drive system-level optimization across distributed ML infrastructure (compute, memory, interconnects).
• Provide technical leadership across hardware, compiler, and ML research teams.

Skills

ML frameworks

LLM workloads

Hardware/software co-design

Performance modeling

Education

Bachelor’s degree in CS/EE or related

Master/PhD in Engineering/CS (preferred)

Tools

Accelerator programming

ML compilers

DL execution models

Job description

Senior Staff Software Engineer, AI/ML, Google Cloud Compute Infrastructure

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X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, a related technical field, or equivalent practical experience.
• 8 years of experience in software development, systems engineering, or hardware/software co-design.
• 5 years of experience with machine learning systems, architecture, performance modeling, or simulation frameworks.
• Experience with ML frameworks (e.g., JAX, PyTorch, TensorFlow) and large language model (LLM) inference or training workloads.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction
• Experience driving multi-generational hardware/software co-design or performance optimizations for massive-scale ML inference and training.
• Experience with accelerator programming, ML compilers, and deep learning execution models.
• Experience analyzing system-level performance across compute, memory, interconnects, and packaging trajectories.

About the job

In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting‑edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.

In this role, you will bridge the gap between model architecture innovation and next‑generation hardware design. Operating at the intersection of cutting‑edge AI research and infrastructure engineering, you will define the long‑term strategic goal and architectural roadmap for the future machine learning training and serving capabilities. You will lead the integration of foundational ML research with advanced architectures to deliver industry‑defining, high‑performance, and power‑efficient accelerators.

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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

• Lead the technical goal, roadmap, and software architecture for hardware/software co-design, optimizing large‑scale ML inference and training systems.
• Design, develop, and oversee simulation frameworks, cycle‑accurate performance models, and system analysis tools to evaluate architectural trade‑offs.
• Architect scalable software solutions, kernels, and execution pipelines that bridge frontier ML model architectures with next‑generation custom silicon accelerators.
• Drive system‑level performance optimization across distributed ML infrastructure, balancing compute, memory bandwidth, and inter‑chip networking requirements.
• Provide technical leadership and mentorship across hardware, compiler, and ML research teams to align on goals and transition co‑design innovations into production.

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 .

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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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.