Software Engineer III, OpenXLA

3 Months ago • 2-4 Years • Artificial Intelligence • $136,000 PA - $200,000 PA

Job Summary

Job Description

As a Software Engineer III, you'll be at the forefront of ML acceleration innovation, working on OpenXLA, an open-source ML compiler that powers Tensorflow, JAX, and PyTorch/XLA. You'll focus on the hardware-independent components of the stack, including StableHLO, HLO, XLA components, API, and compiler tooling for faster model debugging. Your mission is to make OpenXLA the best platform for ML accelerator and vendor contributions, ensuring seamless integration of hardware-specific optimizations and code generation. You'll collaborate with a talented team to build the technical foundation behind Google's flagship products, contributing to central solutions, breaking down technical barriers, and strengthening existing systems.
Must have:
  • Bachelor's degree or equivalent experience
  • 2 years of software development experience
  • 2 years of data structures or algorithms experience
  • 2 years of ML algorithms and tools experience
  • Strong coding skills
  • Experience with design reviews
  • Code review and feedback skills
  • Issue triage, debugging, and resolution skills
  • Experience with StableHLO, XLA, and OpenXLA integration
Good to have:
  • Master's degree or PhD in Computer Science
  • Experience with performance, large-scale systems data analysis, visualization tools
  • Experience developing accessible technologies
  • Experience with compiler development and open source
  • Understanding of code and system health, diagnosis and resolution

Job Details

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • 2 years of experience with Machine Learning (ML) algorithms and tools (e.g., TensorFlow), Artificial Intelligence (AI), deep learning or natural language processing.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or a related technical field.
  • 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
  • Experience developing accessible technologies.
  • Experience with compiler development and open source.
  • Understanding of code and system health, diagnosis and resolution, and software test engineering.

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.

In this role, you will aim to make OpenXLA the best place for Machine Learning (ML) acceleration innovation. OpenXLA is an open-source ML compiler that powers Tensorflow, JAX and PyTorch/XLA. It accelerates ML models on Central Processing Units (CPU) and Graphics Processing Units (GPU). You will work on the stack (the hardware-independent bits), which includes StableHLO, HLO, XLA components and Application programming interface (API), and compiler tooling for faster model debugging. You will make OpenXLA the best place for ML accelerator and for vendors and compiler research, ensuring they can plug their hardware specific optimizations, code generation, and contributions into the OpenXLA stack.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 .

Responsibilities

  • Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide among available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Contribute to the teams mission by learning and contributing to StableHLO, XLA and help in engaging with stakeholders who integrate with OpenXLA.

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