H-1B1 Singapore Visa Software Engineer Jobs
Software Engineer jobs with H-1B1 Singapore visa sponsorship are open to Singaporean nationals year-round, with no lottery and a 5,400-visa annual cap that has never been exhausted. Your employer files the Labor Condition Application with DOL and you apply directly at the U.S. consulate in Singapore, making the path faster and more predictable than H-1B visa.
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We are looking for a Senior Software Development Engineer who will own the infrastructure, platform, and production systems that underpin our agentic autonomous campaigns. In this role, you will lead the design, build, and scaling of core services such as tool orchestration, agent execution engine, evaluation pipelines, model serving/tuning infrastructure, and monitoring systems. You will work closely with applied scientists and engineers to translate prototype agent capabilities into robust, scalable production systems. You will need to rapidly learn and apply new techniques in agent deployment, model tuning, reinforcement learning infrastructure, multi-step reasoning orchestration, and system optimization. You will build APIs, pipelines, and frameworks that allow agents to reason, plan, and act reliably at scale, ensuring low latency, high throughput, resilience, fault tolerance, versioning, and safety guardrails. A critical aspect of this role is being customer-obsessed: you will work backwards from advertiser needs to ensure that infrastructure decisions enable real customer-facing experiences. You will also partner with cross-functional teams—science, product, operations—to continuously iterate the agentic architecture, evaluation metrics, and tuning loops. This is a high-impact role where you balance deep technical craftsmanship with product sensibility, setting standards, influencing architecture, and owning end-to-end delivery of agentic capabilities.
Key job responsibilities
- Lead engineering strategy and roadmap for Sponsored Products Autonomous Campaigns
- Design and implement scalable architecture to host agent orchestration, tool invocation, state management, and feedback loops.
- Build scalable, reusable data and tool registry
- Construct evaluation pipelines (offline and online) to assess agent reasoning quality, performance metrics, safety constraints, and KPI impact.
- Integrate and manage tuning pipelines (e.g. hyperparameter tuning, RL fine-tuning, preference optimization), and provide abstraction layers for scientists to plug in models.
- Implement observability, logging, metrics, alerting, tracing, and drift detection for agent behaviors and model performance.
- Ensure resilience, fault isolation, auto-scaling, batching, caching, resource allocation, concurrency control, and SLA compliance.
- Rapidly prototype and evaluate new system designs or algorithmic patterns (e.g. streaming inference, memory caching, chaining of reasoning modules, tool embeddings).
- Collaborate in design reviews, code reviews, system design, and cross-team architecture alignment.
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest 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 re-inventing 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.
The Autonomous Campaigns team within Sponsored Products and Brands is focused on supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in auto campaign systems can have outsized impact on advertiser success and Amazon’s retail ecosystem.
Our vision is to build a highly personalized, context-aware agentic campaign creation and management system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities—from high-level product guidance down to granular keyword recommendations—and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.
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
- Experience with AI/ML technologies
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.
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.
LOCATION
USA, CA, Palo Alto - 193,300.00 - 261,500.00 USD annually
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually
DESCRIPTION
We are looking for a Senior Software Development Engineer who will own the infrastructure, platform, and production systems that underpin our agentic autonomous campaigns. In this role, you will lead the design, build, and scaling of core services such as tool orchestration, agent execution engine, evaluation pipelines, model serving/tuning infrastructure, and monitoring systems. You will work closely with applied scientists and engineers to translate prototype agent capabilities into robust, scalable production systems. You will need to rapidly learn and apply new techniques in agent deployment, model tuning, reinforcement learning infrastructure, multi-step reasoning orchestration, and system optimization. You will build APIs, pipelines, and frameworks that allow agents to reason, plan, and act reliably at scale, ensuring low latency, high throughput, resilience, fault tolerance, versioning, and safety guardrails. A critical aspect of this role is being customer-obsessed: you will work backwards from advertiser needs to ensure that infrastructure decisions enable real customer-facing experiences. You will also partner with cross-functional teams—science, product, operations—to continuously iterate the agentic architecture, evaluation metrics, and tuning loops. This is a high-impact role where you balance deep technical craftsmanship with product sensibility, setting standards, influencing architecture, and owning end-to-end delivery of agentic capabilities.
Key job responsibilities
- Lead engineering strategy and roadmap for Sponsored Products Autonomous Campaigns
- Design and implement scalable architecture to host agent orchestration, tool invocation, state management, and feedback loops.
- Build scalable, reusable data and tool registry
- Construct evaluation pipelines (offline and online) to assess agent reasoning quality, performance metrics, safety constraints, and KPI impact.
- Integrate and manage tuning pipelines (e.g. hyperparameter tuning, RL fine-tuning, preference optimization), and provide abstraction layers for scientists to plug in models.
- Implement observability, logging, metrics, alerting, tracing, and drift detection for agent behaviors and model performance.
- Ensure resilience, fault isolation, auto-scaling, batching, caching, resource allocation, concurrency control, and SLA compliance.
- Rapidly prototype and evaluate new system designs or algorithmic patterns (e.g. streaming inference, memory caching, chaining of reasoning modules, tool embeddings).
- Collaborate in design reviews, code reviews, system design, and cross-team architecture alignment.
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest 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 re-inventing 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.
The Autonomous Campaigns team within Sponsored Products and Brands is focused on supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in auto campaign systems can have outsized impact on advertiser success and Amazon’s retail ecosystem.
Our vision is to build a highly personalized, context-aware agentic campaign creation and management system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities—from high-level product guidance down to granular keyword recommendations—and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.
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
- Experience with AI/ML technologies
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.
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.
LOCATION
USA, CA, Palo Alto - 193,300.00 - 261,500.00 USD annually
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 2,498+ H-1B1 Singapore Visa Software Engineer Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Software Engineer
Verify your degree field matches your role
H-1B1 visa requires a specialty occupation tied to a specific field of study. A computer science, software engineering, or closely related degree supports a Software Engineer application. A general business degree does not, even with years of coding experience.
Search LCA records for active H-1B1 filers
Employers who have filed Labor Condition Applications for H-1B1 Singapore workers have already navigated the process. Use the OFLC Wage Search to filter by visa type and occupation code before applying, so you're targeting companies with real filing history.
Find verified H-1B1 employers on Migrate Mate
Migrate Mate filters Software Engineer roles by employers with confirmed H-1B1 Singapore sponsorship history, pulled directly from DOL disclosure data. You avoid spending weeks applying to companies that have never filed for this visa category.
Confirm your offer letter specifies specialty occupation
Your offer letter must describe the Software Engineer role in enough detail to satisfy the specialty occupation requirement. Vague titles like 'engineer' or 'technical staff' have caused consulate delays. Ask your employer to include your specific duties and required degree field.
Check wage compliance before your LCA is filed
DOL requires your salary to meet the prevailing wage for your occupation and work location. Use the OFLC Wage Search or O*NET to look up the Level I through Level IV wage for Software Engineers in your target metro before your employer submits the LCA.
Plan your consulate appointment around LCA certification
DOL certifies most LCAs within seven business days. Your consulate appointment can only be scheduled after certification. Build at least two to three weeks between your accepted offer and your target start date to allow for LCA processing and appointment availability.
Frequently Asked Questions
Does a Software Engineer role qualify as a specialty occupation for H-1B1 Singapore?
Yes, software engineering is consistently recognized as a specialty occupation because it requires at least a bachelor's degree in computer science, software engineering, or a directly related field. Your employer must document this requirement in the job description when filing the Labor Condition Application. Roles where any degree is accepted regardless of field would not qualify.
How is the H-1B1 Singapore visa different from H-1B for Software Engineers?
H-1B1 Singapore has no lottery, a dedicated annual cap of 5,400 visas that has never been exhausted, and is processed at the consulate in Singapore rather than through USCIS. H-1B requires employer-filed petitions with USCIS and a lottery that selects roughly one in five registrants. For Singaporean Software Engineers, H-1B1 is faster and more certain, though it doesn't permit dual intent and requires renewal every two years.
How do I find Software Engineer jobs where the employer will sponsor H-1B1 Singapore?
Migrate Mate surfaces Software Engineer roles from employers with verified H-1B1 Singapore filing history, drawn from DOL Labor Condition Application disclosure data. This lets you filter out companies that have never sponsored this visa category before reaching out or applying, which saves significant time in your job search.
Can I switch employers after my H-1B1 Singapore visa is approved?
Yes, but your new employer must file a fresh Labor Condition Application with DOL and you must apply for a new H-1B1 visa at the consulate before starting work. Unlike H-1B portability under AC21, there is no mechanism to begin working for the new employer while the process is pending. Plan for a gap between offer acceptance and your start date.
Does my Singaporean three-year degree qualify for H-1B1 specialty occupation?
A three-year bachelor's degree from a Singaporean university is generally accepted by U.S. consular officers for H-1B1 visa specialty occupation purposes, particularly for Software Engineer roles where the degree field directly matches the job. If your degree is from a polytechnic or is in a tangentially related field, your employer may need to supplement the application with a credential evaluation or evidence of equivalent experience.