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Google Staff Software Engineer GPU Performance Core ML United Kingdom, England, London 870699741
31.03.2025
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Minimum qualifications:
Preferred qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development and with data structures/algorithms (e.g., C++ or Python).
- 5 years of experience with Machine Learning (ML) design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- Experience working with GPUs.
- Experience in a technical leadership role leading project teams and setting technical direction.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Experience with compiler optimization, code generation, and runtime systems for GPU architectures (OpenXLA, MLIR, Triton, etc.).
- Expertise in tailoring algorithms and ML models to exploit GPU strengths and minimize weaknesses.
- Knowledge of low-level GPU programming (CUDA, OpenCL, etc.) and performance tuning techniques.
- Understanding of modern GPU architectures, memory hierarchies, and performance bottlenecks.
- Ability to develop and utilize sophisticated performance models and benchmarks to guide optimization efforts and hardware roadmap decisions.
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