E-Commerce Jobs in Texas with H-1B1 Sponsorship
Texas is one of the most active states for H-1B1 visa sponsorship in e-commerce, anchored by major distribution and tech operations in Dallas-Fort Worth, Austin, and Houston. Companies like Amazon, Dell Technologies, and a growing cluster of e-commerce startups regularly hire international talent for roles in software engineering, product management, and data analytics.
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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
Job Roles in E-Commerce in Texas
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Get Access To All JobsFrequently Asked Questions
Which e-commerce companies in Texas sponsor H-1B1 visas?
Amazon has significant operations in Dallas, Austin, and Houston and has a strong track record of H-1B1 filings for e-commerce and tech roles. Dell Technologies, headquartered in Round Rock, also sponsors H-1B1 workers for roles supporting its direct-to-consumer and digital commerce divisions. Beyond these, a range of mid-size e-commerce platforms and marketplace companies operating in Texas have filed Labor Condition Applications for H-1B1 positions.
Which cities in Texas have the most e-commerce H-1B1 sponsorship jobs?
Dallas-Fort Worth leads in e-commerce H-1B1 sponsorship activity, supported by its large logistics infrastructure and corporate headquarters concentration. Austin follows closely, driven by its tech sector and the presence of e-commerce product and engineering teams. Houston is a growing market, particularly for roles tied to supply chain technology and digital retail operations serving its large consumer base.
What types of e-commerce roles typically qualify for H-1B1 sponsorship in Texas?
Roles that typically qualify for H-1B1 sponsorship are those requiring a bachelor's degree or higher in a specific technical or professional field. In e-commerce, this commonly includes software engineers, data scientists, UX researchers, product managers, and digital marketing analysts with quantitative or technical degree backgrounds. General business operations or customer service roles without a specific degree requirement usually do not qualify as specialty occupations under H-1B1 criteria.
How do I find e-commerce H-1B1 sponsorship jobs in Texas?
Migrate Mate is built specifically for international job seekers who need visa sponsorship, making it a focused starting point for e-commerce H-1B1 jobs in Texas. You can filter by visa type, state, and industry to surface roles at companies with a history of H-1B1 filings in Texas. Because H-1B1 sponsorship requires employer willingness and resources, searching a sponsorship-focused platform saves time compared to filtering through general job listings.
Are there any Texas-specific or e-commerce industry considerations for H-1B1 sponsorship?
Texas has no state income tax, which affects total compensation comparisons but does not change H-1B1 prevailing wage obligations, which are set at the federal level by the Department of Labor based on the job location and role. E-commerce employers in Texas must still file a certified Labor Condition Application before sponsoring an H-1B1 worker. The high concentration of Amazon fulfillment and tech offices in Texas means prevailing wage benchmarks for common e-commerce roles are well-established in the DOL database.
What is the prevailing wage for H-1B1 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.
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