Hardware Accelerators Performance Engineer with Equity

Google; United States; On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Benefits

Bonus target

Job summary

Google DeepMind is seeking a Software Engineer to advance the performance of Gemini models on hardware accelerators. You will work with a team of ML and neuroscience researchers, building systems for agent testing, creating 2D/3D test problems in physics simulators, and visualizing results while contributing to leaderboards and testing new algorithms on robots.

The role focuses on maximizing accelerator performance and scaling across the JAX stack, including custom kernel development,

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in C++ or Python.
• Experience with profiling tools for performance optimization.
• Experience in software development for hardware accelerators, including memory-hierarchy or instruction-level tuning.

Responsibilities

• Improve the training and serving efficiency of Gemini models on hardware accelerators (TPUs and GPUs), spanning model configurations, execution runtimes, and dedicated compiler passes.
• Profile large-scale distributed workloads to diagnose compute, memory, and communication bottlenecks, identifying high-impact optimization opportunities.
• Design and implement high-performance, low-level custom kernels for critical model operators to unlock peak hardware utilization.
• Build and maintain automated benchmarking pipelines and diagnostic tooling to track, reproduce, and guard against performance regressions.
• Influence next-generation accelerator architectures and compiler roadmaps by feeding back empirical workload profiles and model requirements.

Skills

C++ or Python

Profiling tools

Hardware accelerators

Software engineering fundamentals

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Tools

gProf

Valgrind

VTune

Job description

Google DeepMind is seeking a Software Engineer to advance the performance of Gemini models on hardware accelerators. You will work with a team of ML and neuroscience researchers, building systems for agent testing, creating 2D/3D test problems in physics simulators, and visualizing results while contributing to leaderboards and testing new algorithms on robots.

The role focuses on maximizing accelerator performance and scaling across the JAX stack, including custom kernel development,