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Senior Software Engineer, TorchTPU
role at
Google .
The Core ML team contributes to frameworks and compilers that support the Google Cloud Platform (GCP) Cloud Tensor Processing Unit (TPU) service and related Machine Learning (ML) models and frameworks. It provides ML infrastructure customers with large-scale, cloud-based access to Google’s first‑party ML supercomputers (TPUs and TPU Pods) to run training and inference workloads using PyTorch and JAX. In this role, you will be responsible for the PyTorch ML framework, processes, ecosystem, and model performance, as well as engagements with customers who take advantage of Google’s TPUs to achieve massive scale and speed in their ML workloads. The AI and Infrastructure team is redefining what’s possible by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability, and velocity.
Minimum Qualifications
Bachelor’s degree or equivalent practical experience.
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 in software development.
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.
8 years of experience with data structures/algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in an organization involving cross‑functional, or cross‑business projects.
Experience with compilers or ML frameworks.
Responsibilities
Work on AI framework development to 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 Graphics Processing Units (GPUs), enabling the training and deployment of the most advanced machine learning models, managing innovation and breakthroughs.
Enable PyTorch models 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 while contributing to open-source software development.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology and Engineering
Industries Information Services and Technology, Information and Internet
The US base salary range for this full‑time position is $166,000‑$244,000 + bonus + equity + benefits.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Senior Software Engineer, TorchTPU
role at
Google .
The Core ML team contributes to frameworks and compilers that support the Google Cloud Platform (GCP) Cloud Tensor Processing Unit (TPU) service and related Machine Learning (ML) models and frameworks. It provides ML infrastructure customers with large-scale, cloud-based access to Google’s first‑party ML supercomputers (TPUs and TPU Pods) to run training and inference workloads using PyTorch and JAX. In this role, you will be responsible for the PyTorch ML framework, processes, ecosystem, and model performance, as well as engagements with customers who take advantage of Google’s TPUs to achieve massive scale and speed in their ML workloads. The AI and Infrastructure team is redefining what’s possible by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability, and velocity.
Minimum Qualifications
Bachelor’s degree or equivalent practical experience.
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 in software development.
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.
8 years of experience with data structures/algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in an organization involving cross‑functional, or cross‑business projects.
Experience with compilers or ML frameworks.
Responsibilities
Work on AI framework development to 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 Graphics Processing Units (GPUs), enabling the training and deployment of the most advanced machine learning models, managing innovation and breakthroughs.
Enable PyTorch models 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 while contributing to open-source software development.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology and Engineering
Industries Information Services and Technology, Information and Internet
The US base salary range for this full‑time position is $166,000‑$244,000 + bonus + equity + benefits.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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