E-Commerce H-1B1 Singapore Sponsorship Jobs in Texas
H-1B1 Singapore visa sponsorship jobs in Texas e-commerce connect Singaporean professionals with companies like Dell Technologies, Amazon, and Walmart's digital commerce divisions operating across Dallas-Fort Worth, Austin, and Houston. Texas's concentration of Fortune 500 retailers and fast-growing direct-to-consumer brands makes it one of the more active states for e-commerce sponsorship outside the coasts.
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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
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Search E-Commerce Jobs in TexasE-Commerce Jobs in Texas: Frequently Asked Questions
Which e-commerce companies in Texas sponsor H-1B1 Singapore visas?
Texas-based and Texas-operating e-commerce employers with documented H-1B1 visa or related visa sponsorship history include Dell Technologies, Neiman Marcus Group, Amazon fulfillment and tech operations in Dallas-Fort Worth, and JCPenney's digital commerce team. Larger national retailers with significant Texas headcount, such as GameStop and Pier 1's successor operations, have also filed Labor Condition Applications for specialty occupation roles. Sponsorship availability varies by role, team, and hiring cycle.
Which Texas cities have the most e-commerce H-1B1 Singapore sponsorship jobs?
Dallas-Fort Worth leads Texas for e-commerce sponsorship activity, driven by its dense concentration of retail headquarters, logistics technology firms, and digital marketplace operations. Austin comes second, with a growing number of direct-to-consumer brands and e-commerce platform companies hiring for product and engineering roles. Houston has a smaller but active base of online retail and supply chain technology employers. San Antonio sees occasional postings, typically from national companies with regional offices.
What types of e-commerce roles typically qualify for H-1B1 Singapore sponsorship?
Roles that commonly qualify require at least a bachelor's degree in a directly related field, meeting the specialty occupation standard. In e-commerce, this includes software engineers and developers building commerce platforms, data scientists and analysts working on conversion and customer behavior, UX and product designers, digital marketing managers with quantitative responsibilities, and supply chain technology specialists. General warehouse, customer service, or non-degree operations roles do not typically qualify for H-1B1 sponsorship.
How do I find e-commerce H-1B1 Singapore sponsorship jobs in Texas?
Migrate Mate filters job listings specifically for H-1B1 Singapore visa sponsorship, letting you search e-commerce roles in Texas without manually screening hundreds of unsponsored postings. Migrate Mate cross-references employer Labor Condition Application filing history, so you can see which Texas-based e-commerce companies have an active track record of sponsoring the H-1B1. This makes it faster to identify genuine sponsorship opportunities rather than relying on job descriptions that rarely specify visa support.
Are there state-specific or industry-specific considerations for H-1B1 Singapore sponsorship in Texas?
Texas has no state income tax, which affects total compensation calculations but not the H-1B1 prevailing wage requirement, which is set federally by DOL wage levels tied to the specific occupation and metropolitan area. E-commerce employers in Texas must still file a Labor Condition Application and pay the prevailing wage for the role's location, whether in Dallas, Austin, or Houston. Texas's status as a right-to-work state does not alter federal H-1B1 sponsorship obligations for employers.
What is the prevailing wage for H-1B1 Singapore 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.