Staff Software Engineer, Pixel System Debug Architecture

About the role

MINIMUM QUALIFICATIONS:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development.

• 5 years of experience with software debugging/troubleshooting.
• 5 years of experience with software development in C, C++, or Rust.
• 3 years of experience with embedded software design and architecture.

PREFERRED QUALIFICATIONS:

• Master’s degree or PhD in Engineering, Computer Science, or a related

technical field.

• 8 years of experience in embedded software engineering, system software

architecture, or platform debug roles.

• 3 years of experience in a technical leadership role leading project teams

and setting technical direction.

• 3 years of experience working in a complex, matrixed organization involving

cross-functional, or cross-business projects.

• Experience delivering system debug, tracing, or telemetry architectures for

high-volume consumer hardware products.

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.

In this role, you will drive the end-to-end debug architecture, system

observability, and privacy-first diagnostics strategy across next-generation

devices. You will serve as the technical authority for full-stack system

debuggability across standalone (device-only) and distributed (device and

companion phone split-compute) operating modes. You will bridge hardware,

firmware, operating systems, inter-device communication, and cloud analytics to

build triage pipelines, resilient reboot/recovery mechanisms, and high-fidelity

trace infrastructure while defining stringent PII protection and data governance

policies. You will partner closely with Silicon, Hardware, Firmware, OS,

Security, Privacy, Product, and Cloud teams to ensure debug hooks, trace points,

and crash resilience are designed into products from day one.

The Platforms and Devices team encompasses Google's various computing software

platforms across environments (desktop, mobile, applications), as well as our

first party devices and services that combine the best of Google AI, software,

and hardware. Teams across this area research, design, and develop new

technologies to make our user's interaction with computing faster and more

seamless, building innovative experiences for our users around the

world.Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Architect and lead the cross-functional debug and tracing strategy across all

software layers, spanning low-level firmware/real-time operating system

(RTOS), host OS (Android/Linux), connectivity stacks, and application layers.

• Design distributed tracing, crash collection, and state synchronization

mechanisms.

• Define post-mortem crash dumping, watchdog managing, and clean

reboot/recovery flows for single-device and multi-device failure scenarios.

• Define and enforce comprehensive PII managing policies, data sanitation,

redaction, and compliance frameworks for debug artifacts collected from

internal test and production devices.

• Drive requirements for automated log parsers, post-mortem analysis tools, and

fleet-wide observability dashboards to accelerate root cause analysis (RCA).