Staff Software Engineer, JAX Third-Party Ecosystem - Google

Mountain View, CA

About the Job

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development, and with data structures/algorithms.
5 years of experience testing and launching software products, 3 years of experience with software design/architecture.
5 years of experience leading ML design and optimizing ML infrastructure (model deployment and evaluation, data processing, debugging, fine-tuning, etc.).

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a technical related field.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
Experience with compilers, performance engineering, or designing clean and composable APIs, with a thoughtfulness about the end-to-end user experience.
Interest in keeping up-to-date on the latest AI models, tools, and techniques.

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.

We're the JAX 3P team and part of Google Cloud's Core ML organization. Our team partners closely with the JAX Core team in Google DeepMind as our mission is to build the world's leading AI/ML ecosystem around JAX. We're seeking talented engineers to develop the core infrastructure that will power the next generation of machine learning, unlocking strategic business opportunities and enabling a new era of ML development.

We’re focused on pushing the boundaries of performance and scalability, enabling groundbreaking research and applications in foundational models, generative AI, and beyond! Our work is shaping this open-source ecosystem, directly impacting the global AI community and Google's AI leadership position. If you're passionate about building cutting-edge technology with far-reaching impact, join us and help define the future of AI!

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 $189,000-$284,000 + 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 benefits at Google.

Responsibilities

Develop and optimize the JAX ecosystem libraries for foundation model training, tuning, adaptation, and inference across different accelerators.
Collaborate closely with partner teams, especially Google DeepMind's JAX Core team.
Develop and implement cutting-edge distributed training and parallelism techniques to enable efficient and scalable training of large-scale machine learning models.
Dive into stack-spanning systems and tools, from high-level Python to low-level C++.
Author documentation and guides to facilitate seamless onboarding into the broader ecosystem.

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.

Source : Google