H-1B1 Chile Visa Reliability Engineer Jobs
Reliability Engineer jobs with H-1B1 Chile visa sponsorship are open to Chilean nationals under the U.S.-Chile Free Trade Agreement. No lottery, no USCIS petition filing, and the 1,400-visa annual cap rarely fills, so your application goes straight to a U.S. consulate once you have a qualifying offer.
Find H-1B1 Chile Visa Reliability Engineer JobsOverview
Showing 5 of 41+ Reliability Engineer jobs
See all 41+ Reliability Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Reliability Engineer roles.
Get Access To All JobsINTRODUCTION
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works.
ABOUT THE JOB
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA.
We are looking for a highly skilled, self-motivated Staff Engineer to join our Hardware Capacity Engineering (HCE) team and help us scale and sustain the infrastructure that powers LinkedIn. HCE qualifies, integrates, and operates the full range of hardware in our on-prem data centers, such as general-purpose compute, GPU/accelerator, storage, and networking platforms, across a large-scale, multi-vendor, multi-generation fleet. This role spans both bringing new platforms into production and keeping our existing fleet healthy, performant, and reliable, backed by the software, firmware automation, and fleet-health systems the team builds. In this role, you will identify requirements and the best-suited hardware platform or solution, integrate that solution into our on-prem data center environment, and help operate and continuously improve the existing fleet at scale. You will build software and automation that make the fleet observable, performant, and reliable, and partner closely with SRE, software engineering, AI/ML, and hardware vendors.
Responsibilities
- Collaborate with LinkedIn engineering teams to collect requirements for LinkedIn applications and provide guidance on selecting the best-suited hardware platforms and solutions across general-purpose compute, GPU/accelerator, storage, and networking.
- Design test environments and testing scenarios; benchmark compute, storage, and power (e.g., SPEC, SPECpower, etc) and provide detailed analysis of qualification and performance results for varied audiences, including engineers and senior leadership.
- Qualify and integrate new server platforms and components end-to-end, working with hardware vendors on optimal configurations and driving the full integration process.
- Work jointly with other teams on cost and TCO analysis for proposed solutions, present them to decision makers, and define SLAs and technical standards with partner teams.
- Qualify BIOS, BMC, and component firmware. Drive fleet-wide upgrade programs.
- Support and improve the reliability of our existing large-scale, diverse fleet including fault detection and remediation, firmware management, and OS and security compliance.
- Design, build (AI-assisted) and own automation for hardware qualification, provisioning, lifecycle, and fleet health monitoring and telemetry analysis.
- Contribute to AI/ML infrastructure performance and reliability of GPU platforms, InfiniBand/RDMA as part of the team’s broader scope.
- Troubleshoot complex hardware, firmware, kernel, and platform issues across the fleet, and lead critical production incident response.
BASIC QUALIFICATIONS
- BS in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
- 6+ years of experience working in Linux-based infrastructure, systems, or hardware engineering.
- 4+ years of experience with hardware troubleshooting, systems engineering, and performance analysis.
- Experience developing software or automation (AI-assisted or otherwise) for infrastructure at scale.
PREFERRED QUALIFICATIONS
- Experience with x86 server architecture and multi-vendor hardware, BMC/BIOS and firmware (IPMI/Redfish).
- Experience qualifying and integrating new hardware platforms and operating them across a large-scale, diverse, multi-generation fleet.
- Experience with hardware provisioning, imaging/OS, and lifecycle or inventory systems.
- Experience building fleet health, observability, or reliability tooling (fault detection, SMART and telemetry analysis, data-driven thresholds).
- Experience benchmarking with common tools such as SPEC, SPECpower, fio, unixbench, and similar.
- Experience with storage devices and performance engineering (NVMe/SSD/HDD) and/or distributed/parallel filesystems (GPFS, HDFS).
- Experience with GPU/accelerator platforms and the ML training stack (NCCL/collective communications, CUDA) and high-performance networking (InfiniBand/RDMA, RoCE).
- Experience with Kubernetes and containerized workloads.
- Experience working with hardware vendors on both designing a solution and troubleshooting issues.
- Demonstrated experience putting together summary reports and visual presentations of the results of benchmarks and performance tests for technical and executive audiences.
- Familiarity with HPC/Machine Learning environments and solutions.
SUGGESTED SKILLS
- Linux
- Hardware Qualification & Integration
- Firmware / BMC (BIOS, IPMI/Redfish)
- Fleet Reliability & Observability
- Linux Performance (Compute, Storage, IO)
- GPU / AI Infrastructure
You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000 to $255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.
ADDITIONAL INFORMATION
Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
- Documents in alternate formats or read aloud to you
- Having interviews in an accessible location
- Being accompanied by a service dog
- Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice and Compliance Posters for Job Candidates
Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.
INTRODUCTION
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works.
ABOUT THE JOB
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA.
We are looking for a highly skilled, self-motivated Staff Engineer to join our Hardware Capacity Engineering (HCE) team and help us scale and sustain the infrastructure that powers LinkedIn. HCE qualifies, integrates, and operates the full range of hardware in our on-prem data centers, such as general-purpose compute, GPU/accelerator, storage, and networking platforms, across a large-scale, multi-vendor, multi-generation fleet. This role spans both bringing new platforms into production and keeping our existing fleet healthy, performant, and reliable, backed by the software, firmware automation, and fleet-health systems the team builds. In this role, you will identify requirements and the best-suited hardware platform or solution, integrate that solution into our on-prem data center environment, and help operate and continuously improve the existing fleet at scale. You will build software and automation that make the fleet observable, performant, and reliable, and partner closely with SRE, software engineering, AI/ML, and hardware vendors.
Responsibilities
- Collaborate with LinkedIn engineering teams to collect requirements for LinkedIn applications and provide guidance on selecting the best-suited hardware platforms and solutions across general-purpose compute, GPU/accelerator, storage, and networking.
- Design test environments and testing scenarios; benchmark compute, storage, and power (e.g., SPEC, SPECpower, etc) and provide detailed analysis of qualification and performance results for varied audiences, including engineers and senior leadership.
- Qualify and integrate new server platforms and components end-to-end, working with hardware vendors on optimal configurations and driving the full integration process.
- Work jointly with other teams on cost and TCO analysis for proposed solutions, present them to decision makers, and define SLAs and technical standards with partner teams.
- Qualify BIOS, BMC, and component firmware. Drive fleet-wide upgrade programs.
- Support and improve the reliability of our existing large-scale, diverse fleet including fault detection and remediation, firmware management, and OS and security compliance.
- Design, build (AI-assisted) and own automation for hardware qualification, provisioning, lifecycle, and fleet health monitoring and telemetry analysis.
- Contribute to AI/ML infrastructure performance and reliability of GPU platforms, InfiniBand/RDMA as part of the team’s broader scope.
- Troubleshoot complex hardware, firmware, kernel, and platform issues across the fleet, and lead critical production incident response.
BASIC QUALIFICATIONS
- BS in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
- 6+ years of experience working in Linux-based infrastructure, systems, or hardware engineering.
- 4+ years of experience with hardware troubleshooting, systems engineering, and performance analysis.
- Experience developing software or automation (AI-assisted or otherwise) for infrastructure at scale.
PREFERRED QUALIFICATIONS
- Experience with x86 server architecture and multi-vendor hardware, BMC/BIOS and firmware (IPMI/Redfish).
- Experience qualifying and integrating new hardware platforms and operating them across a large-scale, diverse, multi-generation fleet.
- Experience with hardware provisioning, imaging/OS, and lifecycle or inventory systems.
- Experience building fleet health, observability, or reliability tooling (fault detection, SMART and telemetry analysis, data-driven thresholds).
- Experience benchmarking with common tools such as SPEC, SPECpower, fio, unixbench, and similar.
- Experience with storage devices and performance engineering (NVMe/SSD/HDD) and/or distributed/parallel filesystems (GPFS, HDFS).
- Experience with GPU/accelerator platforms and the ML training stack (NCCL/collective communications, CUDA) and high-performance networking (InfiniBand/RDMA, RoCE).
- Experience with Kubernetes and containerized workloads.
- Experience working with hardware vendors on both designing a solution and troubleshooting issues.
- Demonstrated experience putting together summary reports and visual presentations of the results of benchmarks and performance tests for technical and executive audiences.
- Familiarity with HPC/Machine Learning environments and solutions.
SUGGESTED SKILLS
- Linux
- Hardware Qualification & Integration
- Firmware / BMC (BIOS, IPMI/Redfish)
- Fleet Reliability & Observability
- Linux Performance (Compute, Storage, IO)
- GPU / AI Infrastructure
You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000 to $255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.
ADDITIONAL INFORMATION
Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
- Documents in alternate formats or read aloud to you
- Having interviews in an accessible location
- Being accompanied by a service dog
- Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice and Compliance Posters for Job Candidates
Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.
See all 41+ H-1B1 Chile Visa Reliability Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Chile Visa Reliability Engineer Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Reliability Engineer
Verify your degree matches the role
Reliability Engineer positions require a bachelor's degree in mechanical, electrical, or industrial engineering for H-1B1 visa specialty occupation eligibility. Check your Chilean credentials against the O*NET occupation profile before applying to confirm alignment.
Use OFLC Wage Search before salary talks
Your employer must file a Labor Condition Application certifying your wage meets the DOL prevailing rate for Reliability Engineers in the specific metro area. Pull the OFLC Wage Search figures yourself so you negotiate from the same data the employer files.
Target manufacturers with recurring LCA filings
Reliability Engineer demand is highest in aerospace, energy, and heavy manufacturing. Search Migrate Mate to filter for employers with documented H-1B1 Chile LCA filing history in those sectors, so you approach companies already familiar with the consular process.
Clarify who handles the LCA at offer stage
Unlike H-1B visa, there's no USCIS petition, but the employer still files the LCA with DOL before your consulate appointment. Confirm during the offer negotiation whether the company's legal team or an outside firm manages this, since delays here push your start date.
Prepare a specialty occupation evidence packet early
Consular officers can ask for documentation showing the Reliability Engineer role genuinely requires your specific engineering degree. Gather job descriptions, org charts showing where the role sits technically, and any professional certifications before your interview appointment.
Account for the 18-month validity window in contract terms
H-1B1 Chile is issued in one-year increments, and you must renew at the consulate each cycle. Build renewal timing into your employment contract discussions so your project assignments and performance reviews don't conflict with mandatory travel back to Chile.
Frequently Asked Questions
Does a Reliability Engineer role qualify as a specialty occupation for H-1B1 Chile?
Yes, if the position requires at least a bachelor's degree in a directly related engineering discipline such as mechanical, electrical, or industrial engineering. The consular officer will assess whether the specific duties, not just the job title, genuinely require that specialized degree. Generalist maintenance roles where any engineering background is accepted are more likely to face scrutiny.
How does the H-1B1 Chile visa compare to H-1B for Reliability Engineer positions?
The H-1B1 Chile visa skips the H-1B lottery entirely, so your application isn't subject to random selection. There's no USCIS petition, and the 1,400-visa annual cap for Chilean nationals has historically not filled. The main tradeoff is that H-1B1 doesn't confer dual intent, so maintaining clear nonimmigrant intent is required throughout the process.
Which industries hire the most Reliability Engineers with H-1B1 Chile sponsorship?
Aerospace, oil and gas, utilities, semiconductor manufacturing, and industrial automation consistently generate Reliability Engineer demand in the U.S. These sectors run continuous operations where equipment uptime is critical, making the role a recurring hire rather than a one-time fill. Migrate Mate surfaces employers in these industries that have active H-1B1 Chile LCA filing history.
Can my employer file the LCA while I'm still working in Chile?
Yes, the employer files the Labor Condition Application with DOL before you travel. Once the LCA is certified, you schedule your consulate appointment in Chile. The process is designed for offshore applicants, so your physical location during the LCA stage doesn't affect eligibility, as long as you're a Chilean national applying at a U.S. consulate in Chile.
What happens to my H-1B1 Chile status if my Reliability Engineer role is restructured?
If your job duties change materially, your employer should file an amended LCA with DOL to reflect the updated role. A significant shift in responsibilities, reporting structure, or worksite location can affect the specialty occupation determination. You'd want confirmation that the revised role still meets the degree requirement before your next annual consulate renewal.