H-1B Visa Software Engineer Jobs
Software Engineer roles sit squarely within H-1B visa specialty occupation requirements, making them one of the most consistently sponsored job titles in the U.S. Most positions fall under SOC code 15-1252, and employers filing LCAs must certify they're paying the DOL prevailing wage for your level and location.
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The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry-leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of reinventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle — from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising!
Amazon Sponsored Products and Brands is looking for a talented Sr. Software Development Engineer to join the Global Optimization engineering team at the forefront of advertising technology innovation. We are working backwards from emerging markets to reimagine Amazon's advertising stack from the ground up — building highly scalable, low-latency systems that leverage multilingual and multi-modal GenAI technologies (including semantic hash designs, LLMs, and more) to deliver solutions that scale to non-US marketplaces from day one.
This is your opportunity to be part of a small, high-impact team that architects, builds, and ships production systems powering state-of-the-art solutions that will define the future of digital advertising.
The ideal candidate combines entrepreneurial drive with deep technical expertise, thriving in ambiguous, fast-moving environments where you define the path forward with minimal structure. Our team regularly goes from ideas on the whiteboard to production-grade systems in weeks.
-
Customer Obsession - fuels your passion for building systems that deliver real-world value for millions of advertisers and customers worldwide. You think end-to-end — from the scientist's notebook to the customer's experience.
-
You are consistently Right, A Lot - when navigating complex technical decisions, demonstrating the rare ability to identify architectures and solutions that drive maximum impact with minimal complexity. You cut through ambiguity to find the approach that delivers the most results.
-
Your systems experience goes beyond textbook knowledge — you have successfully designed and operated large-scale distributed systems at Amazon scale, understanding both the promise and practical challenges of deploying ML-powered services in production (model serving, A/B experimentation infrastructure, real-time feature computation, etc.).
-
You're not just an engineer — you're a builder - who sees the bigger picture. You partner deeply with scientists and product leaders, translate ambiguous business problems into crisp technical solutions, and know how to make it all reality.
Key job responsibilities
-
Design and build at scale — Own the end-to-end architecture of distributed systems that serve millions of advertisers across global marketplaces, handling high-throughput, low-latency workloads at Amazon scale.
-
Bring GenAI to production— Partner closely with Applied Scientists to take models from prototype to production — building robust serving infrastructure, training pipelines, feature stores, and evaluation frameworks that turn research breakthroughs into real customer value.
-
Invent from the ground up — Help reimagine the advertising technology stack for international markets, designing systems that are multilingual, multi-modal, and globally scalable by default.
-
Drive operational excellence — Establish best practices for reliability, observability, and deployment, ensuring our systems maintain the highest bar for availability and performance.
-
Raise the bar — Mentor engineers across the team, lead design reviews, and shape our engineering culture as we scale.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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.
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, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually
DESCRIPTION
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry-leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of reinventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle — from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising!
Amazon Sponsored Products and Brands is looking for a talented Sr. Software Development Engineer to join the Global Optimization engineering team at the forefront of advertising technology innovation. We are working backwards from emerging markets to reimagine Amazon's advertising stack from the ground up — building highly scalable, low-latency systems that leverage multilingual and multi-modal GenAI technologies (including semantic hash designs, LLMs, and more) to deliver solutions that scale to non-US marketplaces from day one.
This is your opportunity to be part of a small, high-impact team that architects, builds, and ships production systems powering state-of-the-art solutions that will define the future of digital advertising.
The ideal candidate combines entrepreneurial drive with deep technical expertise, thriving in ambiguous, fast-moving environments where you define the path forward with minimal structure. Our team regularly goes from ideas on the whiteboard to production-grade systems in weeks.
-
Customer Obsession - fuels your passion for building systems that deliver real-world value for millions of advertisers and customers worldwide. You think end-to-end — from the scientist's notebook to the customer's experience.
-
You are consistently Right, A Lot - when navigating complex technical decisions, demonstrating the rare ability to identify architectures and solutions that drive maximum impact with minimal complexity. You cut through ambiguity to find the approach that delivers the most results.
-
Your systems experience goes beyond textbook knowledge — you have successfully designed and operated large-scale distributed systems at Amazon scale, understanding both the promise and practical challenges of deploying ML-powered services in production (model serving, A/B experimentation infrastructure, real-time feature computation, etc.).
-
You're not just an engineer — you're a builder - who sees the bigger picture. You partner deeply with scientists and product leaders, translate ambiguous business problems into crisp technical solutions, and know how to make it all reality.
Key job responsibilities
-
Design and build at scale — Own the end-to-end architecture of distributed systems that serve millions of advertisers across global marketplaces, handling high-throughput, low-latency workloads at Amazon scale.
-
Bring GenAI to production— Partner closely with Applied Scientists to take models from prototype to production — building robust serving infrastructure, training pipelines, feature stores, and evaluation frameworks that turn research breakthroughs into real customer value.
-
Invent from the ground up — Help reimagine the advertising technology stack for international markets, designing systems that are multilingual, multi-modal, and globally scalable by default.
-
Drive operational excellence — Establish best practices for reliability, observability, and deployment, ensuring our systems maintain the highest bar for availability and performance.
-
Raise the bar — Mentor engineers across the team, lead design reviews, and shape our engineering culture as we scale.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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.
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, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually
See all 8,061+ H-1B Visa Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Software Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Software Engineer
Verify your degree field matches the role
USCIS requires your bachelor's degree to be in a directly related field, not just any technical discipline. A degree in computer science or software engineering is straightforward; a degree in business with a minor in CS may trigger an RFE.
Check employer LCA filings before applying
Use Migrate Mate to filter software engineer roles by employers with active LCA filing history. This tells you which companies have certified prevailing wages for your SOC code, not just which ones claim to sponsor.
Confirm your wage level before accepting an offer
Run your job title, SOC code, and work location through the OFLC Wage Search before signing. If the offer is below Level I prevailing wage, USCIS may question whether the role genuinely requires a specialty degree.
Ask whether the employer files cap-exempt petitions
Universities, nonprofit research institutions, and government research organizations are cap-exempt. If you're targeting these employers, you can file outside the April lottery window and start any time of year.
Understand how cap-gap protects your F-1 OPT bridge
If you're on OPT when your H-1B is selected in the lottery, cap-gap extends your F-1 authorization through September 30. Your employer must file the I-129 before your EAD expires to activate this protection automatically.
Get your O*NET profile ready for specialty occupation evidence
USCIS adjudicators use O*NET to evaluate whether a software engineer role qualifies as a specialty occupation. Pull the O*NET profile for your specific SOC code and confirm your job duties align with the listed knowledge and skill requirements before your employer files.
H-1B Visa Software Engineer: Frequently Asked Questions
Does every Software Engineer role qualify as an H-1B specialty occupation?
Most software engineer roles do, but not automatically. USCIS evaluates whether the specific position requires at least a bachelor's degree in a directly related field. Roles where any bachelor's degree satisfies the requirement, or where the employer hasn't specified a degree field in the job description, can face RFEs. Employers should tie the job duties to a specific technical discipline in the LCA and I-129 filing.
How do I find software engineer employers who actually sponsor H-1B visas?
Migrate Mate shows verified LCA filing history by employer and SOC code, so you can see which companies have filed for software engineer roles specifically, not just whether they sponsor visas in general. Look for employers with consistent multi-year filing history, since that signals an established internal process rather than a one-time accommodation.
Can I switch software engineer employers after my H-1B is approved?
Yes, under AC21 portability rules you can change employers after your I-140 has been approved and your I-485 has been pending for 180 days or more, as long as the new role is in the same or similar occupational classification. Outside of that scenario, your new employer must file a transfer petition before you start work, and you can begin as soon as USCIS receives it.
What happens to my H-1B status if my software engineer role is eliminated in a layoff?
You have a 60-day grace period from your last day of employment to find a new sponsor, change to another nonimmigrant status, or depart the U.S. During that window your status is maintained but you can't work. Your new employer must file a transfer petition before the grace period ends, and premium processing is worth filing if the timeline is tight.
Does the SOC code on my LCA matter for future green card sponsorship?
It does. If your employer later sponsors you for an EB-2 or EB-3 green card, the PERM labor certification must match the job duties you're actually performing. An LCA filed under a broad or mismatched SOC code can create inconsistencies that slow the PERM process or prompt additional scrutiny. Make sure the SOC code on your LCA accurately reflects your specific engineering function from day one.