Bachelor's degree or equivalent practical experience.
8 years of software development experience.
7 years leading technical project strategy and end-to-end Machine Learning processes.
5 years in software design, architecture, and product testing/launching.
5 years in specialized ML fields like speech/audio technology or reinforcement learning.
Experience in hardware diagnostics design and troubleshooting.
Responsibilities
Serve as the technical authority on AI, hardware design, and systems engineering.
Architect and build generative AI tools and workflows using complex specifications.
Transform hardware diagnostic software creation and deployment across advanced infrastructure.
Empower engineers to achieve comprehensive test coverage across hardware components.
Optimize test execution and repair actions using advanced AI systems.
Benefits
Comprehensive health and wellness programs.
Generous paid time off and parental leave.
Retirement savings plans with company matching.
Access to professional development resources.
Employee assistance programs for personal support.
Full Job Description
info_outline X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
7 years of experience leading technical project strategy, ML design, and end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
5 years of experience with design and architecture; and testing/launching software products.
5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
Experience in designing, implementing and troubleshooting hardware diagnostics.
Preferred qualifications:
Master's degree in Computer Science, Electrical/Computer Engineering, Artificial Intelligence, or equivalent practical experience.
10 years of professional software engineering and machine learning experience, including technical leadership on infrastructure systems.
8 years of experience with data structures/algorithms.
Experience building production machine learning systems, agentic architectures, LLM pipelines, or deep learning models applied to system telemetry.
Advanced experience in C or Rust, along with experience using machine learning frameworks and data processing tools.
Knowledge of computer architecture, modern ASIC/SoC functional blocks, high-speed interfaces, and hardware failure mechanisms.
Responsibilities
Serve as the technical authority driving the convergence of Artificial Intelligence, silicon/hardware design analysis, and systems engineering.
Architect and build generative AI tools, foundation model skills, and agentic workflows by leveraging complex ASIC architectural specifications, system schematics, software contracts, and historical test execution telemetry.
Transform how hardware diagnostic software is created, optimized, and deployed across Google's next-generation compute, accelerator (TPU/GPU), network, and storage infrastructure.
Empower Diagnostic Software Engineers to achieve comprehensive test coverage across all hardware components, interfaces, and functional blocks.
Optimize test execution time and pinpoint optimal repair actions using advanced artificial intelligence systems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
