H-1B1 Chile Visa Senior Staff Engineer Jobs
Senior Staff Engineer roles qualify for H-1B1 Chile visa sponsorship as specialty occupations requiring at least a bachelor's degree in engineering or a related technical field. Chilean nationals can apply directly at the U.S. consulate in Santiago with no lottery and an annual cap of 1,400 visas that has never been exhausted.
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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.
Google Kubernetes Engine (GKE) is the industry standard for container orchestration and the core of Google Cloud’s modernization strategy. We are now embarking on a mission to reinvent GKE and Kubernetes as the premier substrate for the next generation of AI-ML workloads. The GKE AI Data organization is a critical, high-growth technical domain core to GKE’s business. The team is deeply involved in building storage solutions and data pipelines for the AI-ML workloads including training, inference, RL and agentic workflows.
In this role, you will solve complex storage problems through solutions working at the intersection of K8s (kubernetes), AI-ML and Storage. You will drive the agenda in close collaboration with leads across other storage organizations inside Google and in Open Source.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Responsibilities
- Guide the architectural direction for GKE AI Data ensuring a scalable, performant and efficient storage solution for AI-ML workloads running on K8s across block, file and object storage.
- Drive storage solutions for evolving AI/ML issues, including KV Caching, fast model loading, and re-envisioning storage for agentic workloads (e.g., fast suspend/resume and shared multi-agent storage).
- Partner with multiple storage teams in google cloud platform (GCP) to drive alignment and clarity around strategy and execution.
- Lead the broader Kubernetes ecosystem and Open Source Software (OSS) community, driving key upstream initiatives to establish industry standards for storage solutions.
- Imagine, architect, and lead the technical execution of industry-defining standards through both direct, technical work and by mentoring and guiding teams of engineers.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C++.
- 5 years of experience with design and architecture; and testing/launching software products.
Preferred qualifications:
- Deep expertise in AI/ML infrastructure, specifically regarding storage and caching solutions.
- Demonstrated track record of significant technical contributions to the Kubernetes open-source project or related CNCF or PyTorch AI/ML projects.
- Demonstrated track record of influencing cross-functional teams (Product, Engineering, Research) to deliver complex technical outcomes.
Compensation
- Salary Range: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Benefits
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Kirkland, WA, USA; Sunnyvale, CA, USA.
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.
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.
Google Kubernetes Engine (GKE) is the industry standard for container orchestration and the core of Google Cloud’s modernization strategy. We are now embarking on a mission to reinvent GKE and Kubernetes as the premier substrate for the next generation of AI-ML workloads. The GKE AI Data organization is a critical, high-growth technical domain core to GKE’s business. The team is deeply involved in building storage solutions and data pipelines for the AI-ML workloads including training, inference, RL and agentic workflows.
In this role, you will solve complex storage problems through solutions working at the intersection of K8s (kubernetes), AI-ML and Storage. You will drive the agenda in close collaboration with leads across other storage organizations inside Google and in Open Source.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Responsibilities
- Guide the architectural direction for GKE AI Data ensuring a scalable, performant and efficient storage solution for AI-ML workloads running on K8s across block, file and object storage.
- Drive storage solutions for evolving AI/ML issues, including KV Caching, fast model loading, and re-envisioning storage for agentic workloads (e.g., fast suspend/resume and shared multi-agent storage).
- Partner with multiple storage teams in google cloud platform (GCP) to drive alignment and clarity around strategy and execution.
- Lead the broader Kubernetes ecosystem and Open Source Software (OSS) community, driving key upstream initiatives to establish industry standards for storage solutions.
- Imagine, architect, and lead the technical execution of industry-defining standards through both direct, technical work and by mentoring and guiding teams of engineers.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C++.
- 5 years of experience with design and architecture; and testing/launching software products.
Preferred qualifications:
- Deep expertise in AI/ML infrastructure, specifically regarding storage and caching solutions.
- Demonstrated track record of significant technical contributions to the Kubernetes open-source project or related CNCF or PyTorch AI/ML projects.
- Demonstrated track record of influencing cross-functional teams (Product, Engineering, Research) to deliver complex technical outcomes.
Compensation
- Salary Range: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Benefits
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Kirkland, WA, USA; Sunnyvale, CA, USA.
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 Visa Sponsorship as a Senior Staff Engineer
Verify your degree aligns with the role
Senior Staff Engineer positions require a directly related degree field, not just any engineering background. A degree in civil engineering won't support a software infrastructure role. Cross-check your specific degree discipline against the job's technical requirements before applying.
Search for employers using Migrate Mate
Use Migrate Mate to filter Senior Staff Engineer roles by employers with active H-1B1 Chile visa filing history. DOL Labor Condition Application data shows which companies have sponsored this visa category for engineering roles, so you're targeting verified sponsors, not guessing.
Confirm the prevailing wage before negotiating
Your employer must certify your salary meets the DOL prevailing wage for Senior Staff Engineer in their specific location. Run the OFLC Wage Search for SOC code 15-1252 before your offer conversation so you know the floor and can negotiate from an informed position.
Ask employers about their LCA timeline upfront
Unlike H-1B visa, H-1B1 Chile requires a fresh LCA for every two-year renewal. Ask hiring managers whether their legal team files LCAs in-house or through outside counsel, since slow LCA processing can create gaps if you're already working in the U.S. on a prior status.
Prepare a specialty occupation evidence packet
Consular officers assess whether Senior Staff Engineer duties require a specific degree field. Bring your job offer letter, an O*NET occupation profile printout for your SOC code, and your academic transcripts to demonstrate the direct connection between your credentials and the role's technical requirements.
Use the H-1B1 Chile cap to time your consulate visit
The H-1B1 Chile annual cap of 1,400 visas resets each October 1. Because usage rarely approaches the cap, you can schedule your Santiago consulate appointment at any point in the fiscal year without worrying about cutoff dates the way H-1B applicants must.
Frequently Asked Questions
Does a Senior Staff Engineer role qualify as a specialty occupation under the H-1B1 Chile visa?
Yes. Senior Staff Engineer positions typically require at least a bachelor's degree in engineering, computer science, or a directly related technical field, which satisfies the H-1B1 Chile specialty occupation standard. The key is that your specific degree discipline must align with the role's duties. A generalist business degree wouldn't qualify, but an electrical, software, or systems engineering degree will in most cases.
How does the H-1B1 Chile visa differ from the H-1B for Senior Staff Engineers?
The H-1B1 Chile visa has no lottery, a dedicated annual cap of 1,400 visas that has never filled, and is processed at the U.S. consulate in Santiago rather than through USCIS. H-1B requires employer petition filing with USCIS and subjects you to a random lottery with roughly 25% selection odds. For Chilean professionals, H-1B1 Chile is a direct consular path that bypasses the lottery entirely.
How do I find Senior Staff Engineer employers who sponsor the H-1B1 Chile visa?
Migrate Mate filters Senior Staff Engineer roles by employers with documented H-1B1 Chile visa filing history using DOL Labor Condition Application data. This lets you target companies that have already sponsored Chilean nationals in engineering roles, rather than approaching employers who may be unfamiliar with the H-1B1 Chile process and unwilling to navigate it.
Does the H-1B1 Chile visa allow dual intent for Senior Staff Engineers pursuing a green card?
No. The H-1B1 Chile visa does not permit dual intent, meaning you must maintain a nonimmigrant intent and a residence abroad when applying and renewing. Senior Staff Engineers on H-1B1 Chile who want to pursue permanent residency typically need to transition to an H-1B or employment-based immigrant visa category before filing a green card petition.
What happens if my H-1B1 Chile visa expires before my employer files a renewal LCA?
H-1B1 Chile does not carry the same automatic cap-gap protection as H-1B. If your two-year period expires and the new LCA isn't certified in time, you'll need to either stop working or depart the U.S. and re-enter after the consulate issues a renewed visa. Senior Staff Engineers should track renewal timelines carefully and confirm their employer starts the LCA process at least 60 days before expiration. Migrate Mate can help you identify employers with established renewal workflows.