Staff Software Engineer, AI/ML

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, Google's open-source library providing performant JAX 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.

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.

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.