Requirements:

• Bachelor’s degree or equivalent practical experience
• 5 years of experience with software development in one or more programming languages
• 5 years of experience with data structures and algorithms
• 5 years of experience with machine learning algorithms and tools, artificial intelligence, deep learning, or natural language processing
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture

Nice to haves:

• Master's degree or PhD in Computer Science or a related technical field
• 1 year of experience in a technical leadership role
• Experience with hardware/compiler co-design or high-performance computing (HPC)
• Experience in performance analysis and debugging, improving performance of single-node or multi-node (distributed) systems
• Experience in GPU programming using CUDA or Triton kernels (or Palace/Mosaic kernels)
• Background in Compiler optimizations or related fields would also be beneficial

What you'll be doing:

• Identify and maintain Large Language Model (LLM) training and serving benchmarks
• Engage with Google product teams to solve ML model performance problems
• Run architecture-level simulations on GPU designs
• Analyze performance and efficiency metrics to identify bottlenecks
• Run performance benchmarks on GPU hardware using internal and external tools

Perks and benefits:

• Information collected and processed as part of your Google Careers profile is subject to Google's Applicant and Candidate Privacy Policy
• Equal opportunity and affirmative action employer
• Global company promoting English proficiency for efficient collaboration
• Accommodations for applicants form available for needs requiring accommodation
• Equity granted based on an agreement between you and Alphabet Inc.