E-3 Visa Senior Staff Engineer Jobs
Senior Staff Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree or higher in engineering or a closely related field. Australian engineers targeting U.S. staff-level positions benefit from the E-3's no-lottery structure and indefinite two-year renewals, making long-term career growth straightforward to plan.
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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.
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Senior Staff Engineer
Frame your credentials for U.S. specialty occupation
A three-year Australian engineering degree qualifies under E-3 visa if you can show it's equivalent to a U.S. bachelor's. Get a credential evaluation from a NACES-accredited agency before interviews so you're not scrambling after an offer.
Target employers with active LCA filing history
Search DOL's Office of Foreign Labor Certification disclosure data to identify which companies have filed LCAs for Staff Engineer titles. Firms already in the system move faster and encounter fewer internal approval delays when you raise E-3 sponsorship.
Raise E-3 sponsorship before the offer stage
Staff-level engineering roles often involve multi-round technical panels. Clarify E-3 willingness with the hiring manager or recruiter before your final round, not after, so legal review doesn't stall a competing offer you're holding.
Verify your employer is registered with E-Verify
E-3 employers don't legally need E-Verify enrollment, but many large engineering orgs require it for federal contracts. Confirm enrollment status early so you know whether the company's internal compliance process adds a step before LCA filing.
Use Migrate Mate's E-3 filing service for the LCA and paperwork
After you receive an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. DOL certifies LCAs within seven working days, and having a dedicated E-3 expert manage the timeline prevents delays at the consulate stage.
Plan your consulate appointment around your start date
Sydney, Melbourne, and Perth each have different appointment lead times. Book your consulate slot as soon as your LCA is certified rather than waiting for all documents to arrive, since the E-3 interview itself is typically straightforward for engineering roles with clear degree-to-job alignment.
E-3 Visa Senior Staff Engineer: Frequently Asked Questions
How do I find Senior Staff Engineer jobs with E-3 visa sponsorship?
Use Migrate Mate to search Senior Staff Engineer roles filtered specifically for E-3 visa sponsorship. Most general job boards don't let you filter by visa type, so you end up cold-qualifying employers yourself. Migrate Mate surfaces companies that have actively filed LCAs for engineering roles, saving you the manual DOL disclosure lookup.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Senior Staff Engineer role qualify as an E-3 specialty occupation?
Yes. Senior Staff Engineer positions require at minimum a bachelor's degree in engineering, computer science, or a directly related field, which satisfies the DOL's specialty occupation definition. Roles that involve system architecture, cross-functional technical leadership, or domain-specific research carry even stronger qualifications because the degree requirement is unambiguous to the consular officer reviewing your LCA.
How does the E-3 compare to H-1B for a Senior Staff Engineer moving to the U.S.?
The E-3 has a 10,500 annual cap that has never been exhausted, so there's no lottery and no waiting a full year to find out if you got selected. H-1B visa requires entering a randomized lottery with roughly a 25% selection rate. For a Senior Staff Engineer with an offer in hand, the E-3 means you can start within months rather than potentially waiting two or more years through H-1B lottery cycles.
What happens to my E-3 status if I change employers at the Staff Engineer level?
E-3 status is employer-specific, so changing employers requires a new LCA and a new visa stamp before or shortly after you start the new role. Unlike H-1B, there's no portability rule that lets you carry over your status automatically. You'll need your new employer to file a fresh LCA with DOL, then either apply for a new E-3 stamp at a consulate or, in some cases, adjust status within the U.S.