Senior Staff Software Engineer, GPU Performance, Google Scale
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and working with industry-scale 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.
- Experience working with GPUs.
Preferred qualifications:
- Experience with compiler optimization, code generation, and runtime systems for GPU architectures (OpenXLA, MLIR, Triton, etc.).
- Knowledge of low-level GPU programming (CUDA, OpenCL, etc.) and performance tuning techniques.
- Understanding of modern GPU architectures (NVIDIA, AMD, etc.), memory hierarchies, and performance bottlenecks.
- Ability to tailor algorithms and ML models to utilize GPU strengths.
- Ability to develop and utilize performance models and benchmarks to guide optimization efforts and hardware roadmap decisions.
About the job
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.
GPUs are indispensable to Google’s diverse and ever-evolving landscape for strategic, pragmatic, and performance-driven reasons, ensuring top performance for our ML models, adapting to diverse ML workloads, achieving results, and influencing next-generation GPU architectures via strategic partnerships. While known for pioneering work with TPUs, GPUs are an important and rapidly expanding frontier within Google's machine learning infrastructure.
The US base salary range for this full-time position is $237,000-$337,000 + 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.Responsibilities
- Help architect the future of accelerated computing.
- Build optimizations that improve benchmarks, and power Google's most critical products and services, impacting users and driving significant cloud business.
- Shape the entire GPU software stack through influencing model design, optimizing low-level kernels and compilers (OpenXLA, JAX, Triton), and bridging the gap between model developers and hardware for optimal co-design and performance.
- Manage challenging performance bottlenecks and explore optimization techniques through Google’s access to the latest generation of GPUs, tooling, and experience building AI accelerators.
- Collaborate cross-functionally with ML, compiler design, and systems architecture through internal and external partnerships, as well as open-source projects.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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