Staff Software Engineer, AI/ML

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.

• 8 years of experience in software development.

• 2 years of experience with Applied Machine Learning (ML), including the

development and deployment of models.

• Experience with Large Language Models (LLMs), NLP, or Generative AI.

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.

• Experience with performance optimizations for machine learning workloads

running on CPU/GPU/TPU.

ABOUT THE JOB:

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. 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 Jax Training Experience team works on making Distributed LLM training on GCP

easy, scalable and performant. We are responsible for MaxText

[https://github.com/AI-Hypercomputer/maxtext], Google's open-source library

providing performant JAX [https://jax.readthedocs.io/en/latest/quickstart.html]

implementations of LLM models such as Qwen, DeepSeek, Llama, Mixtral, Gemma,

etc. We're collaborating with other teams to optimize these workloads on GCP, on

TPUs, GPUs, and CPUs. We are part of the ML@Scale team in the CBS/CoreML

organization.

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

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Help make MaxText the best pre and post training solution for TPUs on GCP.

• Implement LLM modeling and scaling techniques in MaxText, including

multi-modal, Physical AI and World models.

• Build and support JAX and its ecosystem to benefit GCP customers.

• Support new accelerator introductions (TPUs/GPUs) on GCP and MLPerf

submissions that demonstrate cutting edge technologies for Gen AI workloads

at scale.

• Work closely with product managers and partner teams to deliver high-quality

software products and features throughout their lifecycle.