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AI Job Summary

You'll write and test code for data collection, analysis, and visualization workflows while supporting ML on new hardware like TPUs across the full stack. This role requires five years of software development experience and three years working with performance optimization, large-scale systems, and tools like C++, Python, or CUDA. You'll partner with product and hardware teams to drive chip profiling and performance analysis, collaborating across multiple engineering disciplines.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Write and test product or system development code.
  • Learn and build an intuitive understanding of existing data collection, analysis, and visualization workflows.
  • Support new and exciting ML paradigms (such as horizontal scaling for upcoming TPU chips) by making contributions across the end-to-end stack and analysis tools.
  • Partner with Product Area leads to understand model optimization use cases, drive cross functional efforts to deliver on chip profiling requirements, and propose new hardware features.
  • Collaborate across Hardware, Driver, Runtime, and Performance Analysis teams and many other stakeholders.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
  • 3 years of experience with Computer Architecture, C++, Python, CUDA, GPU Programming, GPU Drivers, System On a Chip, Application-Specific Integrated Circuit.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 5 years of experience with data structures and algorithms.
  • 1 year of experience in a technical leadership role.
  • Experience with GPU or TPU performance analysis, and a passion for developer productivity.
  • Experience with ML frameworks such as TensorFlow, JAX, and PyTorch, or ML compilers such XLA.
  • Proven track record in open-source software development, including experience in releasing and supporting open-source projects.
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
  • 3 years of experience with Computer Architecture, C++, Python, CUDA, GPU Programming, GPU Drivers, System On a Chip, Application-Specific Integrated Circuit.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
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  • Role Senior Software Engineer, Performance, SOC Architect
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

177K – 229K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 217 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
3 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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