Machine Learning Engineer, XLS, Compiler

Google•Chicago, IL

About The Position

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. Accelerated Language for Synthesis is a mid-level synthesis tool bringing velocity and simplicity to hardware design. Accelerated Language for Synthesis has already been used in multiple chip projects inside of Google and continues to grow in customers and capabilities. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Requirements

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in C++.
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 ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Experience in compiler construction.

Nice To Haves

Master's degree or PhD in Computer Science or a related technical field.
5 years of experience with data structures and algorithms.
1 year of experience in a technical leadership role.
Experience with SystemVerilog.

Responsibilities

Triage product or system issues and debug, track, and resolve them by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Design and implement solutions in one or more specialized machine learning (ML) areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
Deliver better hardware and higher velocity for hardware development to Google semiconductor teams.
Produce improvements to the Accelerated Language for synthesis compiler.
Work in Google infrastructure (including Vizier, Flume, and others) to use artificial intelligence and machine learning to better search the space of potential hardware.