Senior Software Engineer, ML Compiler, Frameworks and Performance

Google Inc.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Google Cloud is hiring a Senior Software Engineer focused on ML compiler technologies, frameworks, and performance. You will work across ML training, serving stacks, and runtime components to optimize performance on TPUs/GPUs and integrate with popular ML frameworks.

You will collaborate with Google Cloud teams and OSS projects, contributing to performance improvements and scalable ML solutions for customers globally.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in C++ or Python.
• Experience in ML infrastructure development or ML performance engineering.
• Experience with ML compilers and their internals, and writing compiler optimization passes.
• Experience with accelerator HW architectures (TPUs/GPUs).
• Experience with ML inference frameworks such as vLLM, SG Lang, Pathways.
• Experience with ML frameworks such as TensorFlow, JAX, PyTorch, Keras.

Responsibilities

• Drive continuous improvements to the ML software/hardware stack for Google first‑party teams and for Google Cloud Platform customers.
• Develop an intuitive understanding of Google's ML training and serving stack with deep introspection across frameworks (JAX, PyTorch), XLA, and runtime stack.
• Identify opportunities to improve ML workloads' efficiency through performance debugging for workloads and custom kernels and build solutions to deliver those improvements.
• Partner with teams owning various parts of the ML stack to understand performance optimization use cases; collaborate with OSS ML inference frameworks to provide insights into bottlenecks.
• Support new ML paradigms (e.g., horizontal scaling for upcoming TPU chips) by contributing across the stack and performance analysis tools.

Skills

C++

Python

Education

Bachelor's degree or equivalent

Tools

TensorFlow

JAX

PyTorch

Keras

XLA

TorchTPU

vLLM

SGLang

Job description

Senior Software Engineer, ML Compiler, Frameworks and Performance

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in C++ or Python programming languages.
• Experience in machine learning (ML) infrastructure development or ML performance engineering.
• Experience with ML compilers and their internals, experience writing compiler optimization passes.
• Experience with accelerator HW architectures (TPUs/GPUs).
• Experience with ML inference frameworks such as vLLM, SG Lang, Pathways.
• Experience with ML frameworks such as TensorFlow, JAX, PyTorch, Keras.

Responsibilities

• Drive continuous improvements to the machine learning software/hardware stack for Google first‑party teams and for Google Cloud Platform customers.
• Develop an intuitive understanding of various parts of Google’s ML training and serving stack with deep introspection across frameworks (JAX, PyTorch), accelerated linear algebra (XLA) and runtime stack.
• Identify opportunities to improve the efficiency of the ML workloads through insightful performance debugging for workloads and custom kernels and build solutions to deliver those improvements.
• Partner with other teams that own various parts of the ML stack to understand performance optimization use cases. Work with OSS ML inference frameworks such as TorchTPU, vLLM, SGLang to provide insights into performance bottlenecks.
• Support new and exciting ML paradigms (e.g., horizontal scaling for upcoming TPU chips) by making contributions across the stack and performance analysis tools.

About the Company

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud’s needs with opportunities to switch teams and projects as you and our fast‑paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate.

Our team is part of the Core ML organization which provides ML software tools and hardware infrastructure to all Google product areas and drives ML excellence for Google and the world. From ML frameworks to performance debugging and tooling, from ML efficiency to applied ML, we are involved in various aspects of AI and infrastructure that push the ML frontier across all of Google.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s cutting‑edge technology and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is the requirement for all roles unless stated otherwise in the job posting.

Benefits and EEO

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.

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.