Senior Software Engineer, System Co-design and Optimization

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
  
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  
• 3 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
  
• Experience with computer architecture, performance analysis, and performance modeling.
  

Preferred qualifications:

• Master's degree or PhD with an emphasis on performance evaluation of ML Systems, or a related field.
  
• Experience in performance analysis and debugging improving performance of distributed systems.
  
• Experience with hardware (e.g., how chips are built, RTL/VHDL/Verilog, interfaces (PCIe, Ethernet).
  
• Experience with simulators, especially hardware simulators.
  
• Experience with ML Accelerators.
  
• Experience with Compiler flows software involved in translating a high-level language (e.g., TensorFlow) to hardware instructions.
  

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.

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 $161,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

Responsibilities

• Perform analysis of Machine Learning (ML) workloads such as Gemini on future TPU systems using simulation (e.g., TF-Sim), evaluate performance/cost trade-offs of hardware features and software optimization techniques and drive the next generation TPU chip and system architecture.
  
• Work together with teams across the full ML hardware/software stack, ML models, compilers, ML systems, TPU accelerators, to develop a thorough understanding of the performance/cost trade-offs within a vast ML system design space.
  
• Help develop the TF-Sim TPU/GPU performance methodology, enabling unified performance/Total Cost of Ownership (TCO) projection of future ML systems across Google (e.g., C++ and Python development).