Jobs in the United States

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Added 2 mins ago
Software Engineer II
Alarm.com
Needham, MA
Designing, developing, implementing, and testing new software features across the full stack
Added 12 mins ago
Process Engineer
York International Corp.
United States
As a Process Engineer on the SFTS Process Engineering team, you will oversee process and asset health related to our laser cutting and bonding processes. Your primary objective is to…
Added 13 mins ago
H
Engineering Manager, Admin Experience
Horizon3
Remote, United States
- $225,000 to $265,000 USD / year
…attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale…
Added 32 mins ago
CC
Senior Software Engineer
Carrier Corporation
Kennesaw, GA
- $79,000 to $158,000 USD / year
We are seeking a Senior Software Engineer to design, build, and maintain mission-critical software solutions for our Building Automation Systems (BAS), with a dedicated focus on building…
Added 42 mins ago
H
Staff Backend Engineer, Admin Experience
Horizon3
Remote, United States
- $230,000 to $270,000 USD / year
As a Staff Backend Engineer on the Admin Experience team, you’ll provide hands-on technical leadership for NodeZero’s account administration capabilities. You’ll shape how services and APIs…
Added 50 mins ago
MLOps Engineer ID72409
AgileEngine
Fort Lauderdale, FL
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 50 mins ago
MLOps Engineer ID72409
AgileEngine
Boston, MA
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 50 mins ago
MLOps Engineer ID72409
AgileEngine
Port Charlotte, FL
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
Jersey City, NJ
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
Tallahassee, FL
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
Baltimore, MD
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
Tampa, FL
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
Texas City, TX
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
Atlanta, GA
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
Irving, TX
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
New York, NY
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
Boca Raton, FL
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
Miami, FL
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
Austin, TX
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
Orlando, FL
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
Houston, TX
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
San Francisco, CA
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
Chicago, IL
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
Dallas, TX
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.
Added 52 mins ago
MLOps Engineer ID72409
AgileEngine
West Palm Beach, FL
We are looking for an MLOps Engineer to deploy, scale, and monitor computer vision models in production on Azure, processing real-time image streams from thousands of edge cameras.

Google

Staff Software Engineer, Android Infrastructure, Google Home

Mountain View, CA, United States

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Job details

Posting language: English
Posted: Oct 14, 2026

Original job description

Staff Software Engineer, Android Infrastructure, Google Home

Share Staff Software Engineer, Android Infrastructure, Google Home

corporate_fare Google place Mountain View, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Share Staff Software Engineer, Android Infrastructure, Google Home

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XIn 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.
5 years of experience testing and launching software products with a focus on android systems or android architecture.
5 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
3 years of experience with software design and architecture.

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Experience serving as a technical lead and architect, setting architectural direction, and mentoring senior engineers across multiple work streams.
Experience managing complex system health issues, app reliability, and large-scale technical migrations.
Experience implementing automated regression testing to replace manual testing efforts.
Strong product sense with a passion for smart home technologies, IoT (Matter, Thread, BLE), and improving user satisfaction (CSAT).
Proven track record of driving cross-functional initiatives and improving engineering velocity through infrastructure automation.

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.

The App Surfaces team is the primary front door to the Google Home ecosystem, owning the user-facing interaction canvas across Core Mobile, Smart Displays, and Cross-Surfaces.

In this role, you will lead to drive system infrastructure and manage complex reliability issues. You will play a critical role in our ongoing technical strategy, and help to lead our team to a unified Google Home Platform architecture. Your work will accelerate our feature development velocity and be tasked to help eradicate top detractor bugs.

The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users’ homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it.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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

Drive the pivot towards treating application, mobile as "infrastructure and quality as a platform" to ensure consistency, scalability, and developer velocity across the organization.
Lead dedicated engineering swarms to eliminate crashers, improve state-sync latency, and resolve functional detractors.
Own system health by monitoring and improving crucial application performance metrics like latency, memory footprint, and crash rates, with a goal of achieving a crash-free user rate.
Guide the architectural migration to the Google Home Platform and lead the deprecation of legacy systems. Focus on reducing bloated and legacy application infrastructure to allow teams to build and ship features faster, rather than months.
Oversee the deployment pipeline, build/release flags, and on-call operations. Shift the organization towards automated, self-serve infrastructure delivery model to help vertical teams onboard and support major launches.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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Skills

Decision making
Software development
Full-stack development
Oracle Java
Python
Go
C++
JavaScript
TypeScript
HTML
CSS
Computer science
Coaching
Distributed computing
Data storage
Natural language processing
UI design
Leadership
Recruitment

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