Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.Minimum qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
• Experience in defining and developing computer system architectures for computing.
• Experience in performance optimization of workloads and systems workloads.
  
  

Preferred qualifications:

• Experience with large language models and/or other transformer based algorithms.
• Experience with integration of LLM’s or other ML models to applications and services.
• Experience with software and hardware co-design.
• Experience supporting interconnects, memory architecture, and networking.
• Knowledge of chip architecture and chip design flow.
  
  

About The Job

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

As a Systems Architect, you will have the opportunity to participate in the development of future computer architectures that are tailored towards running machine learning algorithms in the utmost efficiency, while maintaining the necessary flexibility for new algorithmic methods and use case innovations.

In this role, you will create State-Of-The-Art (SOTA) machine learning and large language models that run efficiently on the compute system. You will also have the opportunity to create new and groundbreaking algorithms, architectures and tools, and help drive towards the future of ML centric systems.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

• Develop and prototype modular and scalable system architecture approaches that will drive ML systems to new levels of efficiency.
• Develop new methods for ML system specialization, including new methods for dynamic and static adaptability techniques.
• Develop platforms and tools that will allow co-definition and development of algorithms and systems. Participate in driving these tools throughout the relevant Google groups.
• Participate in developing methodologies and tools for algorithm and system co-design.
• Participate in developing algorithms and tools for automatic generation of chip architecture and design collateral.
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .