Software Engineer III, AI/ML

1 Month ago • 3-5 Years • Artificial Intelligence • $141,000 PA - $202,000 PA

Job Summary

Job Description

Google is seeking a Software Engineer III, AI/ML to develop and optimize custom GPU kernels using Pallas/Mosaic for NVIDIA GPUs to enhance LLM model inference performance. The role involves working on projects critical to Google's needs, offering opportunities for team and project changes. Responsibilities include leveraging experience in software development (multiple languages), ML infrastructure (model deployment, evaluation, optimization, data processing, debugging), GPU programming, and LLMs. The ideal candidate will possess experience with NVIDIA GPU architecture, CUDA kernel writing/optimization, and inference performance optimization for LLMs like Gemini. Experience with Jax/Pallas/Mosaic or Triton is preferred.

Must have:

Bachelor's degree or equivalent experience
2+ years software development experience
1+ year experience with speech/audio, reinforcement learning, ML infrastructure, or other ML field
1+ year experience with ML infrastructure (model deployment, evaluation, etc.)
GPU programming experience
LLM experience

Good to have:

Master's/PhD in Computer Science/Engineering
NVIDIA GPU architecture, performance, and profiling experience
NVIDIA GPU CUDA kernel writing/optimization experience
LLM inference performance optimization experience
Performance and resource optimization experience
Experience with Jax/Pallas/Mosaic or Triton

7 skills required

7 skills required for this role

Add these skills to join the top 1% applicants for this job

reinforcement-learning

model-deployment

cuda

networking

problem-solving

team-management

user-interface

Job Details

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Experience with GPU programming.
Experience with LLMs (large language models).

Preferred qualifications:

Master's or PhD in Computer Science or Computer Engineering or equivalent practical experience.
Experience with NVIDIA GPU architecture, performance and profiling.
Experience writing or optimizing NVIDIA GPU CUDA kernels.
Experience optimizing inference performance for LLM models like Gemini or other open source models.
Experience in performance and resource optimization.
Experience with Jax/Pallas/Mosaic or Triton.

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.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 .