E-Commerce H-1B1 Chile Sponsorship Jobs in Texas
Texas e-commerce employers including Amazon, Walmart's tech division, and regional fulfillment-focused companies have filed H-1B1 Chile Labor Condition Applications for roles in product management, software engineering, and data analytics. Austin's growing tech sector and Dallas-Fort Worth's logistics infrastructure make both metros active markets for Chilean nationals seeking e-commerce sponsorship in specialty occupations.
See All E-Commerce JobsOverview
Showing 5 of 31+ E-Commerce H-1B1 Chile Sponsorship Jobs in Texas
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 31+ E-Commerce H-1B1 Chile Sponsorship Jobs in Texas
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-Commerce H-1B1 Chile Sponsorship Jobs in Texas.
Get Access To All JobsDESCRIPTION
Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to tackle technical challenges that have never been seen before.
Join our Silicon Validation team to validate next-generation machine learning accelerators that power AWS's cloud computing infrastructure. You'll work in a fast-paced, startup-like environment alongside some of the brightest minds in the industry on cutting-edge, internet-scale technology that directly impacts how customers use Machine Learning acceleration. We are changing the landscape of cloud infrastructure by accelerating the development of custom silicon by moving beyond traditional partnerships to dominate in AI training and inference.
Your work will span validation of the complete vertical stack—silicon, PCB, high-speed components (HBM, PCIe, chip-to-chip), inter-system connections, and system-to-system interfaces. You'll dive deep into new technology hardware components and scaling technologies that power our Machine Learning boards and servers at scale, ensuring every component of our hardware and software comes together into products our customers rely on.
Key job responsibilities
As a Validation Engineer on our Machine Learning Acceleration team, you'll own critical validation aspects across the entire product development lifecycle—from early design validation through emulation, silicon bring-up, post-silicon validation, and ongoing support of production systems deployed in AWS data centers. You'll collaborate deeply with architecture, RTL design, design verification, firmware, and software teams to ensure our next-generation AI/ML accelerators meet the highest standards of quality and performance. This role requires bridging multiple domains—from low-level hardware interfaces to high-level ML workloads—to deliver exceptional results.
We are looking for candidates with:
- Strong programming skills (Python, Lua, C/C++, Rust, Go, etc)
- A solid understanding of computer architecture
- Experience with AWS services, cloud infrastructure, firmware development (BIOS, BMC, drivers)
- Validation experience in any of these areas: PCIe, HBM, GPUs, neural networks, ML HW architecture, and/or CI/CD
- Familiarity with the validation lifecycle from RTL simulation (SystemVerilog/UVM, VCS, Questa, Xcelium) and emulation (Palladium, Zebu, Veloce) through silicon failure analysis and debug
A day in the life
- Developing comprehensive validation strategies and detailed test plans covering functional, performance, power, and stress testing from silicon bring-up to product release
- Executing complex test plans from RTL simulation and emulation environments through physical silicon validation
- Conducting hands-on silicon bring-up and debug in the lab using oscilloscopes, logic analyzers, and protocol analyzers
- Validating ML accelerator performance, accuracy, and reliability using real-world neural network workloads
- Building test infrastructure, CI/CD, and automated regression frameworks to enable efficient validation at scale
- Collaborating across architecture, design, firmware, and software teams to triage failures and drive root cause analysis to closure
- Reviewing test results, identifying patterns, and providing feedback to improve design quality and validation coverage
- Supporting production systems in AWS data centers and addressing field issues as they arise
BASIC QUALIFICATIONS
- Bachelor's degree or above in computer science, electrical engineering, or related field
- 3+ years of hands-on post-silicon validation or system validation engineering experience
- Strong programming skills (Python, Lua, C/C++, Rust) for production-quality test code
- Experience developing and executing validation test plans for complex SoCs, CPUs, or accelerators
- Hands-on lab experience with hardware bring-up and debug equipment
- Solid understanding of computer architecture and digital design principles
- Proficiency with Linux environments, Git, and SSH
- Strong problem-solving skills and ability to debug complex hardware/software issues
PREFERRED QUALIFICATIONS
- Experience building automated test frameworks and CI/CD pipelines
- Deep domain expertise in PCIe (Gen4/Gen5/Gen6) or HBM2/HBM3
- Experience with ML hardware architectures, neural network accelerators, or GPU validation
- Hands-on experience with emulation platforms (Palladium, Zebu, Veloce)
- Knowledge of AWS services and cloud infrastructure
- Firmware development experience (BIOS, BMC, drivers)
- Experience with EDA simulation tools and SystemVerilog/UVM testbenches
- Track record of leading validation efforts and mentoring engineers
- Highly motivated self-starter comfortable with ambiguity and fast-paced environments
- A systems thinker who understands the full validation lifecycle—from RTL simulation and emulation test bench development through silicon failure analysis and debug.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
COMPENSATION
- The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually
DESCRIPTION
Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to tackle technical challenges that have never been seen before.
Join our Silicon Validation team to validate next-generation machine learning accelerators that power AWS's cloud computing infrastructure. You'll work in a fast-paced, startup-like environment alongside some of the brightest minds in the industry on cutting-edge, internet-scale technology that directly impacts how customers use Machine Learning acceleration. We are changing the landscape of cloud infrastructure by accelerating the development of custom silicon by moving beyond traditional partnerships to dominate in AI training and inference.
Your work will span validation of the complete vertical stack—silicon, PCB, high-speed components (HBM, PCIe, chip-to-chip), inter-system connections, and system-to-system interfaces. You'll dive deep into new technology hardware components and scaling technologies that power our Machine Learning boards and servers at scale, ensuring every component of our hardware and software comes together into products our customers rely on.
Key job responsibilities
As a Validation Engineer on our Machine Learning Acceleration team, you'll own critical validation aspects across the entire product development lifecycle—from early design validation through emulation, silicon bring-up, post-silicon validation, and ongoing support of production systems deployed in AWS data centers. You'll collaborate deeply with architecture, RTL design, design verification, firmware, and software teams to ensure our next-generation AI/ML accelerators meet the highest standards of quality and performance. This role requires bridging multiple domains—from low-level hardware interfaces to high-level ML workloads—to deliver exceptional results.
We are looking for candidates with:
- Strong programming skills (Python, Lua, C/C++, Rust, Go, etc)
- A solid understanding of computer architecture
- Experience with AWS services, cloud infrastructure, firmware development (BIOS, BMC, drivers)
- Validation experience in any of these areas: PCIe, HBM, GPUs, neural networks, ML HW architecture, and/or CI/CD
- Familiarity with the validation lifecycle from RTL simulation (SystemVerilog/UVM, VCS, Questa, Xcelium) and emulation (Palladium, Zebu, Veloce) through silicon failure analysis and debug
A day in the life
- Developing comprehensive validation strategies and detailed test plans covering functional, performance, power, and stress testing from silicon bring-up to product release
- Executing complex test plans from RTL simulation and emulation environments through physical silicon validation
- Conducting hands-on silicon bring-up and debug in the lab using oscilloscopes, logic analyzers, and protocol analyzers
- Validating ML accelerator performance, accuracy, and reliability using real-world neural network workloads
- Building test infrastructure, CI/CD, and automated regression frameworks to enable efficient validation at scale
- Collaborating across architecture, design, firmware, and software teams to triage failures and drive root cause analysis to closure
- Reviewing test results, identifying patterns, and providing feedback to improve design quality and validation coverage
- Supporting production systems in AWS data centers and addressing field issues as they arise
BASIC QUALIFICATIONS
- Bachelor's degree or above in computer science, electrical engineering, or related field
- 3+ years of hands-on post-silicon validation or system validation engineering experience
- Strong programming skills (Python, Lua, C/C++, Rust) for production-quality test code
- Experience developing and executing validation test plans for complex SoCs, CPUs, or accelerators
- Hands-on lab experience with hardware bring-up and debug equipment
- Solid understanding of computer architecture and digital design principles
- Proficiency with Linux environments, Git, and SSH
- Strong problem-solving skills and ability to debug complex hardware/software issues
PREFERRED QUALIFICATIONS
- Experience building automated test frameworks and CI/CD pipelines
- Deep domain expertise in PCIe (Gen4/Gen5/Gen6) or HBM2/HBM3
- Experience with ML hardware architectures, neural network accelerators, or GPU validation
- Hands-on experience with emulation platforms (Palladium, Zebu, Veloce)
- Knowledge of AWS services and cloud infrastructure
- Firmware development experience (BIOS, BMC, drivers)
- Experience with EDA simulation tools and SystemVerilog/UVM testbenches
- Track record of leading validation efforts and mentoring engineers
- Highly motivated self-starter comfortable with ambiguity and fast-paced environments
- A systems thinker who understands the full validation lifecycle—from RTL simulation and emulation test bench development through silicon failure analysis and debug.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
COMPENSATION
- The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually
E-Commerce Job Roles in Texas
See all 31+ E-Commerce Jobs in Texas
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search E-Commerce Jobs in TexasE-Commerce Jobs in Texas: Frequently Asked Questions
Which e-commerce companies sponsor H-1B1 Chile visas in Texas?
Amazon has a significant fulfillment and tech presence in Texas and has filed H-1B1 visa Chile Labor Condition Applications historically. Walmart's technology and e-commerce units operating out of the Dallas area, along with mid-size platforms and marketplace technology firms in Austin, have also appeared in DOL disclosure data. Reviewing OFLC public disclosure files by employer name and visa type gives the clearest picture of active sponsors.
Which cities in Texas have the most e-commerce H-1B1 Chile sponsorship jobs?
Austin leads for product and engineering roles tied to e-commerce platforms, driven by its concentration of technology employers. Dallas-Fort Worth is strong for logistics technology, marketplace operations, and data roles connected to the region's fulfillment infrastructure. Houston has a smaller but active presence, particularly for e-commerce companies with supply chain or enterprise software needs. San Antonio sees occasional postings in customer experience and operations technology.
What types of e-commerce roles typically qualify for H-1B1 Chile sponsorship?
Roles that qualify must meet the specialty occupation standard, requiring at least a bachelor's degree in a directly related field. In e-commerce, this commonly includes software engineers, data scientists, UX researchers, digital marketing analysts, product managers, and supply chain technology specialists. Roles like general warehouse operations or account management that do not require a specific degree field typically do not qualify. O*NET occupation profiles can help confirm whether a specific role meets the degree requirement.
How do I find e-commerce H-1B1 Chile sponsorship jobs in Texas?
Migrate Mate surfaces e-commerce employers in Texas with verified H-1B1 Chile Labor Condition Application filing history, so you can focus on companies that have already demonstrated willingness to sponsor Chilean nationals. Filter by the e-commerce industry and Texas location to see relevant roles in Austin, Dallas, and Houston. This approach saves time compared to manually searching DOL disclosure files, since Migrate Mate organizes the LCA data by employer, role type, and state.
Are there any Texas-specific or e-commerce-specific considerations for H-1B1 Chile sponsorship?
Texas has no state-level work authorization requirements that affect the H-1B visa1 Chile process, which is governed entirely by federal DOL and USCIS rules. Within e-commerce, employers operating across multiple Texas locations may file a single LCA covering several worksites, which is standard for companies with distributed teams. The H-1B1 Chile does not require an I-129 petition approved by USCIS before consular processing, distinguishing it from the standard H-1B and shortening the employer's administrative timeline.
What is the prevailing wage for H-1B1 Chile e-commerce jobs in Texas?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.