Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

Preferred qualifications:

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• Experience with ML frameworks and ML compilers.
• Experience in performance analysis and debugging, including for systems that span multiple interconnected hosts.
• Experience developing services in Google Cloud.
  
• Experience developing or maintaining open-source software.

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.

Google's revolutionary Cloud Tensor Processing Units (TPUs) were designed from the ground up to accelerate machine learning workloads, providing the computational power to train and run machine learning models in a fraction of the time and cost conventionally required. TPUs have been wildly successful internally at Google. With our Cloud TPU service, it's easy to take your existing ML workloads (PyTorch, JAX, etc.) and move them to the cloud to take advantage of this great capability.
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.

The US base salary range for this full-time position is $207,000-$300,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Work on AI framework development to successfully enable PyTorch models to run on Google Cloud's TPUs and GPUs and tune for peak performance.
• Provide comprehensive support for ML frameworks and compilers on Cloud TPUs and GPUs, enabling the training and deployment of the most advanced machine learning models, driving innovation and breakthroughs.
• Enable PyTorch models at massive scale for generative models, computer vision (image recognition, object detection, image generation), machine translation, language modeling, rankings and recommendations, speech recognition, etc.
• Collaborate with other Google teams and leading researchers across the industry to continuously bring ML capabilities to our PyTorch-in-Cloud offering.
• Design, develop, test, deploy, maintain, and improve software. Contribute to open-source software development.

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Requisition #: 128695498985874118

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