Machine Learning Engineer, XLS, Compiler
Google Chicago, IL Full-time 3/17/2026
Undergraduate with 5+ Years of Experience
Approval 99%•Total filings 5,616•New hires 2,898•
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•FY 2025Job Description
Google is seeking a software engineer to develop next-generation technologies that enhance user interaction and information handling. The role involves working on critical projects, particularly in machine learning infrastructure and hardware design, while collaborating with various teams to drive innovation.
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.
- Master's degree or PhD in Computer Science or a related technical field (preferred).
- 5 years of experience with data structures and algorithms (preferred).
- 1 year of experience in a technical leadership role (preferred).
- Experience with SystemVerilog (preferred).
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.
Benefits
- Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.
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