Software Engineer Front-end, Machine Learning Benchmarking

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in software development, with a focus on full-stack web development and front-end development.
• Experience in JavaScript, Python, and with one compiled language (e.g., C++, Java, Go).
• Experience with data collection, analysis, and visualization tools.
• Experience with machine learning concepts and workflows.
• Experience with large-scale data processing and analysis.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• Experience building and maintaining fullstack applications, including back-end services and front-end user interfaces, for performance monitoring and analysis.
• Experience with ML frameworks (e.g., TensorFlow, JAX, PyTorch). and hardware performance analysis, particularly with TPUs and GPUs.
• Experience with Large Language Models (LLMs) and their performance characteristics.
• Demonstrated ability to design and implement robust, scalable, and user-friendly tools and infrastructure.
• Understanding of ML compiler optimizations and their impact on performance.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In this role, you will be focused around driving continuous improvements to the Machine Learning (ML) Software/Hardware stacks through benchmarking tools, visualizations and driving self service usage.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $166,000-$244,000 + 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 benefits at Google.

• Measure, collect, analyze and report insights across performance timelines, for benchmarks per project.
• Benchmark and predict fleetwide impact from changes impacting TPU performance - across training and LLM Serving.
• Support self service, user friendly infrastructure for customer teams to integrate their pipelines, visualize their performance data and diagnose performance changes.