Staff Engineer Jobs at Google with Visa Sponsorship
Staff Engineer jobs at Google involve leading complex, cross-functional technical work across infrastructure, AI, and product platforms. The company has a well-established sponsorship process for engineering roles, working with immigration counsel to support H-1B visa, H-1B1 visa, and E-3 visa candidates through the full filing process.
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Get Access To All JobsINTRODUCTION
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.
Our Core Machine Learning (ML) team develops the frameworks and compilers that power the Google Cloud Platform (GCP) Cloud Tensor Processing Unit (TPU) service. We provide customers with large-scale, cloud-based access to Google’s custom ML supercomputers, enabling them to execute massive training and inference workloads using PyTorch and JAX.
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: $262000 - $365000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
ROLE AND RESPONSIBILITIES
- Identify and maintain ML training and serving benchmarks that are representative to Google production and the broader ML industry.
- Achieve performance for customer launches, and in case of third-party/OSS models, for engaged benchmark submissions (ML Commons, InferenceX, etc).
- Use the benchmarks to identify performance opportunities and drive both near-term state of the art (e.g. custom kernels) and out-of the box performance (compiler/runtime optimizations, agentic tooling, auto-sharding) directly and in collaboration with partner teams.
- Participate in algorithmic innovations exploiting new TPU hardware features and model-preserving optimizations (speculative decoding, sparsity, quantization, LoRA, etc).
- Participate in co-designing models that are TPU-friendly to showcase model quality at performance excellent to OSS models typically designed on GPUs.
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 working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 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.
- 5 years of experience with design and architecture; and testing/launching software products.
- Experience in Python and C++ programming.
PREFERRED QUALIFICATIONS
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a matrixed organization involving cross-functional, or cross-business projects.
- Experience in performance analysis and debugging, including for systems that span multiple interconnected hosts.
- Experience in contributing to PyTorch or JAX.
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.
INTRODUCTION
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.
Our Core Machine Learning (ML) team develops the frameworks and compilers that power the Google Cloud Platform (GCP) Cloud Tensor Processing Unit (TPU) service. We provide customers with large-scale, cloud-based access to Google’s custom ML supercomputers, enabling them to execute massive training and inference workloads using PyTorch and JAX.
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: $262000 - $365000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
ROLE AND RESPONSIBILITIES
- Identify and maintain ML training and serving benchmarks that are representative to Google production and the broader ML industry.
- Achieve performance for customer launches, and in case of third-party/OSS models, for engaged benchmark submissions (ML Commons, InferenceX, etc).
- Use the benchmarks to identify performance opportunities and drive both near-term state of the art (e.g. custom kernels) and out-of the box performance (compiler/runtime optimizations, agentic tooling, auto-sharding) directly and in collaboration with partner teams.
- Participate in algorithmic innovations exploiting new TPU hardware features and model-preserving optimizations (speculative decoding, sparsity, quantization, LoRA, etc).
- Participate in co-designing models that are TPU-friendly to showcase model quality at performance excellent to OSS models typically designed on GPUs.
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 working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 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.
- 5 years of experience with design and architecture; and testing/launching software products.
- Experience in Python and C++ programming.
PREFERRED QUALIFICATIONS
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a matrixed organization involving cross-functional, or cross-business projects.
- Experience in performance analysis and debugging, including for systems that span multiple interconnected hosts.
- Experience in contributing to PyTorch or JAX.
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.
See all 353+ Staff Engineer Jobs at Google
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Staff Engineer Jobs at Google.
Get Access To All JobsTips for Finding Staff Engineer Jobs at Google
Align your experience to Staff-level scope
Google's Staff Engineer bar requires demonstrated technical leadership across multiple teams or systems, not just individual contributor depth. Frame your resume around org-wide impact, technical direction, and cross-functional influence before you apply.
Target teams with active sponsorship patterns
Google's infrastructure, machine learning, and cloud divisions consistently file for engineering roles. Search DOL's LCA disclosure data to identify which internal Google orgs are actively filing Labor Condition Applications for your target job title.
Clarify your visa type before the offer stage
Australian citizens can request E-3 sponsorship instead of entering the H-1B lottery. Raise this with your recruiter early since Google's immigration team handles each visa type through a different filing path, and timing affects your start date.
Prepare your credentials for specialty occupation review
USCIS scrutinizes whether Staff Engineer roles meet specialty occupation requirements. Gather degree transcripts, any credential evaluations for non-U.S. degrees, and documentation showing your specific role requires a relevant bachelor's degree or higher.
Use Migrate Mate to filter open Staff Engineer roles by visa type
Not every open Google role is tied to an active sponsorship pathway. Use Migrate Mate to filter Staff Engineer listings at Google by the visa type you need, so you're targeting roles where sponsorship is already confirmed.
Understand Google's H-1B lottery timing and cap-exempt options
If you need H-1B sponsorship, USCIS registration opens in March for an October 1 start. If you're already on OPT STEM extension, you can start before lottery selection and transfer status later, which gives you more flexibility on a Google offer.
Frequently Asked Questions
Does Google sponsor H-1B visas for Staff Engineers?
Yes, Google sponsors H-1B visas for Staff Engineers and has one of the most active engineering sponsorship programs in the technology sector. Google's in-house immigration team manages the H-1B petition process, including premium processing in many cases. Your offer letter will confirm sponsorship eligibility, and Google's counsel handles USCIS filing directly.
Which visa types does Google sponsor for Staff Engineer roles?
Google sponsors H-1B, H-1B1 visa, and E-3 visas for Staff Engineers. H-1B is the most common path for non-Australian, non-Chilean and non-Singaporean nationals. Australian citizens qualify for the E-3, which has no lottery and renews in two-year increments. Chilean and Singaporean citizens may qualify for the H-1B1. Each type has a separate filing process handled by Google's immigration counsel.
How do I apply for Staff Engineer jobs at Google?
You can browse open Staff Engineer roles at Google through Migrate Mate, which filters listings by visa sponsorship type so you can confirm eligibility before applying. Google's hiring process for Staff Engineers typically involves a recruiter screen, technical phone interviews, and a full loop of four to six rounds covering systems design, coding, and leadership. Tailor your application to reflect cross-team technical impact, not just individual coding ability.
What qualifications does Google expect for Staff Engineer roles?
Google's Staff Engineer level requires a bachelor's degree or higher in computer science, software engineering, or a closely related field, which also satisfies USCIS specialty occupation requirements for H-1B sponsorship. Beyond credentials, Google expects candidates to demonstrate technical leadership at scope, meaning you've shaped architecture decisions that affect multiple teams or systems, not just delivered features as an individual contributor.
How do I think about timeline if I need visa sponsorship at Google?
Timeline depends on your visa type. H-1B sponsorship is tied to USCIS's annual cap cycle, with registration in March and the earliest start date of October 1. E-3 and H-1B1 visas aren't cap-subject, so those can be filed year-round with faster turnarounds. If you're on OPT or a STEM extension, align your Google offer timeline with your current authorization end date and confirm with the recruiter early so Google's immigration team can plan accordingly.