Back to search
Google Linkedin · Posted 21d ago

Software Engineer III, Embedded Systems/Firmware, Platforms Infrastructure Engineering

Austin, Texas, United States

Linkedin
Continue to application Add your email once, then Caio opens the original posting.

Indexed description

In most instances, this position requires in-person interviews as part of the hiring process.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Austin, TX, USA.Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience in low level systems programming languages (e.g. C++ or C), or 1 year of experience with an advanced degree in an industry setting.
  • 2 years of experience with working with embedded operating systems.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • 2 years of experience with performance, systems data analysis, visualization tools, or debugging.
  • Experience developing accessible technologies.
  • Proficiency in code and system health, diagnosis and resolution, and software test engineering.

About the jobIn this role, you will manage project priorities, deadlines, and deliverables. You will also design, develop, test, deploy, maintain, and enhance software solutions.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Write product or system development code.

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 .
Free. 20 seconds. No password. See every match in this search.

Create a free Caio profile to unlock more results and save your role and location preferences.

Unlock free search
Want help applying to roles like this? Search Caio for free. If repetitive applications get heavy, Managed Job Search adds supervised execution for $99/month.
View Managed Job Search