E-Commerce E-3 Sponsorship Jobs in Texas
E-3 visa sponsorship jobs in e-commerce are available across Texas, with hiring concentrated in Dallas-Fort Worth, Austin, and Houston. Major retailers like Amazon, Walmart (through its Texas-based fulfillment operations), and a growing cluster of direct-to-consumer brands actively sponsor international talent for roles in product management, digital marketing, and marketplace operations.
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AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms — full-system C++ and SystemC models of these custom SoCs — that let software teams start development months before silicon arrives. For Trainium3, our virtual platform enabled running a full training workload within 12 hours of first silicon. We're looking for a software engineer to build and own the models and infrastructure that make this possible.
What you'll do:
- Build and own functional models of SoC subsystems that integrate into our full-system virtual platform, used by firmware, driver, runtime, and application software teams
- Design models for usability and performance — your customers are software engineers who need to run real workloads on your platform efficiently
- Develop and improve the virtual platform infrastructure: QEMU integration, simulation performance, build and release tooling, and customer-facing documentation
- Work with software teams (your primary customers) to understand their workflows, debug issues on the platform, and shape the model to maximize their productivity
- Drive simulation performance improvements so the platform can handle increasingly complex workloads at scale
- Contribute to model architecture decisions — choosing the right level of abstraction and fidelity for each subsystem based on customer needs
Why this role is interesting:
- You'll own a product that software teams across AWS depend on — they literally can't start development without your virtual platform
- The engineering challenges are genuinely interesting: full-system simulation, multi-subsystem integration, QEMU development, performance optimization at scale
- You'll see the direct impact of your work when software teams hit the ground running on new silicon
- As the team grows, there's a path into architectural modeling — using the platform to explore design alternatives and influence chip architecture
- Small team, startup pace, big impact inside AWS's custom silicon org
You will thrive in this role if you:
- Have built functional models, virtual platforms, or system-level simulations for SoCs, ASICs, GPUs, or CPUs
- Think of yourself as a software engineer first, with deep domain knowledge in chip architecture
- Are comfortable in C++ or SystemC, and familiar with Python for tooling
- Care about your customers' experience — you think about usability, documentation, and reliability, not just model accuracy
- Are interested in expanding into performance or architectural modeling as the team scales
- Enjoy working on a small, high-impact team where you own significant pieces of the stack
No ML background needed. You'll learn the ML accelerator domain on the job.
This role can be based in Cupertino, CA or Austin, TX.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team
- 7+ years of non-internship professional experience writing functional or performance models
- Experience programming with C++ and/or SystemC
- Knowledge of SoC, CPU, GPU, and/or ASIC architecture and micro-architecture
PREFERRED QUALIFICATIONS
- Bachelor's degree in computer science or equivalent
- Experience analyzing data and applying best practices to assess performance drivers
- Experience developing models that integrate with QEMU
- Experience developing and calibrating performance models for custom silicon chips
- Experience with PyTest and GoogleTest
- Familiarity with modern C++ (11, 14, etc.)
- Experience in multi-threaded programming
- Experience with machine learning accelerator hardware and/or software
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
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.
USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually
USA, TX, Austin - 168,100.00 - 227,400.00 USD annually
DESCRIPTION
AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms — full-system C++ and SystemC models of these custom SoCs — that let software teams start development months before silicon arrives. For Trainium3, our virtual platform enabled running a full training workload within 12 hours of first silicon. We're looking for a software engineer to build and own the models and infrastructure that make this possible.
What you'll do:
- Build and own functional models of SoC subsystems that integrate into our full-system virtual platform, used by firmware, driver, runtime, and application software teams
- Design models for usability and performance — your customers are software engineers who need to run real workloads on your platform efficiently
- Develop and improve the virtual platform infrastructure: QEMU integration, simulation performance, build and release tooling, and customer-facing documentation
- Work with software teams (your primary customers) to understand their workflows, debug issues on the platform, and shape the model to maximize their productivity
- Drive simulation performance improvements so the platform can handle increasingly complex workloads at scale
- Contribute to model architecture decisions — choosing the right level of abstraction and fidelity for each subsystem based on customer needs
Why this role is interesting:
- You'll own a product that software teams across AWS depend on — they literally can't start development without your virtual platform
- The engineering challenges are genuinely interesting: full-system simulation, multi-subsystem integration, QEMU development, performance optimization at scale
- You'll see the direct impact of your work when software teams hit the ground running on new silicon
- As the team grows, there's a path into architectural modeling — using the platform to explore design alternatives and influence chip architecture
- Small team, startup pace, big impact inside AWS's custom silicon org
You will thrive in this role if you:
- Have built functional models, virtual platforms, or system-level simulations for SoCs, ASICs, GPUs, or CPUs
- Think of yourself as a software engineer first, with deep domain knowledge in chip architecture
- Are comfortable in C++ or SystemC, and familiar with Python for tooling
- Care about your customers' experience — you think about usability, documentation, and reliability, not just model accuracy
- Are interested in expanding into performance or architectural modeling as the team scales
- Enjoy working on a small, high-impact team where you own significant pieces of the stack
No ML background needed. You'll learn the ML accelerator domain on the job.
This role can be based in Cupertino, CA or Austin, TX.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team
- 7+ years of non-internship professional experience writing functional or performance models
- Experience programming with C++ and/or SystemC
- Knowledge of SoC, CPU, GPU, and/or ASIC architecture and micro-architecture
PREFERRED QUALIFICATIONS
- Bachelor's degree in computer science or equivalent
- Experience analyzing data and applying best practices to assess performance drivers
- Experience developing models that integrate with QEMU
- Experience developing and calibrating performance models for custom silicon chips
- Experience with PyTest and GoogleTest
- Familiarity with modern C++ (11, 14, etc.)
- Experience in multi-threaded programming
- Experience with machine learning accelerator hardware and/or software
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
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.
USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually
USA, TX, Austin - 168,100.00 - 227,400.00 USD annually
E-3 E-Commerce Job Roles in Texas
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Search E-Commerce Jobs in TexasE-Commerce E-3 Sponsorship Jobs in Texas: Frequently Asked Questions
Which e-commerce companies sponsor E-3 visas in Texas?
Texas-based e-commerce employers with E-3 visa sponsorship history include large retailers with fulfillment and corporate operations in the state, such as Amazon, Neiman Marcus, and GameStop, whose digital and marketplace teams are headquartered in the Dallas-Fort Worth area. Austin's growing direct-to-consumer and SaaS-enabled retail sector also includes companies like Bazaarvoice and BigCommerce that have sponsored E-3 candidates for technical and commercial roles.
Which cities in Texas have the most e-commerce E-3 sponsorship jobs?
Dallas-Fort Worth leads Texas for e-commerce E-3 sponsorship, driven by corporate headquarters of major retail brands and a dense concentration of logistics and marketplace operations. Austin follows closely, particularly for roles at e-commerce software platforms and digitally native brands. Houston offers opportunities within supply chain, customer acquisition, and omnichannel retail teams, though at lower volume than DFW or Austin.
What types of e-commerce roles typically qualify for E-3 sponsorship in Texas?
Roles that typically qualify require a bachelor's degree in a directly related field. In e-commerce, these include software engineers, product managers, data analysts, digital marketing managers, UX designers, and marketplace operations specialists. Roles framed around general business administration or account management are harder to qualify, since the E-3 specialty occupation standard requires a theoretical and practical application of a specific body of knowledge tied to the degree.
How do I find e-commerce E-3 sponsorship jobs in Texas?
Migrate Mate is the most direct way to find e-commerce E-3 sponsorship jobs in Texas. The platform filters job listings specifically by visa type and state, so you can browse roles where employers have an established pattern of E-3 sponsorship rather than cold-applying to companies with no history of it. Filtering by the E-Commerce industry category and Texas narrows results to the most relevant opportunities.
Are there any Texas-specific considerations for E-3 sponsorship in e-commerce?
Texas has no state income tax, which affects total compensation comparisons when evaluating offers, though this does not change E-3 eligibility requirements. E-commerce employers in Texas operating across multiple sites may list roles under different office locations, so confirming which city your position is based in matters for the Labor Condition Application, which is tied to the worksite. Remote arrangements require separate LCA filings for each state where you physically work.
What is the prevailing wage for E-3 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.