Technology H-1B1 Singapore Sponsorship Jobs in New York
H-1B1 Singapore visa sponsorship technology jobs in New York are concentrated among major employers including Google, Amazon, IBM, and JPMorgan Chase, with most roles based in Manhattan's tech corridor and the broader NYC metro. Singapore nationals in software engineering, data science, cloud infrastructure, and cybersecurity find New York one of the most active U.S. markets for H-1B1 sponsorship.
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Meta is seeking a Performance & Capacity Engineer to join the Capacity Engineering & Analysis team to focus on site-wide performance and capacity optimization at the intersection of all Meta products and services, and all physical infrastructure (Servers, Data Centers, Network). You will build and optimize infrastructure capacity planning processes and tools covering all of Meta, in one of our largest transformations of how we plan and manage infrastructure capacity. You will be in a highly cross-functional role, with the opportunity to work with a variety of engineering and business teams at the intersection of all Meta products and services (Facebook, Instagram, WhatsApp, etc), all physical infrastructure (Servers, Data Centers, Network), and product business goals (AI, Metaverse, etc). You will optimize capacity plans that inform strategic infrastructure and product decisions at the executive level, as well as providing execution guidance for infrastructure and product teams. To do this, you will partner across technical and business orgs to design the right solutions and lead engineers to build effective technical and process solutions to transform Meta's capacity planning process to be software driven, highly flexible, agile, and ROI Driven. You will connect business strategy with software-driven modeling of detailed service, platform, and infrastructure considerations for executable plans.
Performance & Capacity Engineer - Planning Optimization Responsibilities:
- Own both technical as well as business outcomes for capacity planning for all of Meta: all software products/services and plans for how to scale server and data center resources most efficiently
- Build automated, scalable data and analytics solutions by developing advanced automation, mathematical optimization, and/or AI models
- Use the tools you build to own the business outcomes: develop and analyze variety of business and technical scenarios to inform executive decision-making around infrastructure/product, up to the CxO level
- Design and help build software systems to build scalable, reliable planning systems to connect business strategy with detailed technical execution including regional and temporal bin-packing, optimal service placement, traffic shifts and service migrations, efficient hardware refresh, etc
- Partner across the engineering technical landscape to optimize at the intersection of hardware, infrastructure, and software. Work closely with software service owners, Production Engineering, Server Hardware Engineering, Server Supply Chain, Network Engineering, Data Center Design, Operations, and Planning teams to identify efficient ways to scale infrastructure and place our services
- Effectively lead company-wide Capacity Planning business processes across technical and non-technical contributors
- Partner with Finance to balance cost efficiency with technical and product considerations
- Greenfield work: Work cross-functionally to define problem statements, collect data, build software-driven models and make recommendations to drive change and optimization at the company level
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 8+ years of experience in any coding language and designing software systems, OR 4+ years experience with a PhD
- 8+ years of experience in capacity, performance, software, or reliability engineering, OR 4+ years experience with a PhD
- Experience navigating ambiguous problem spaces and ramping up on new technical and business domains to deliver results
PREFERRED QUALIFICATIONS:
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Practical experience and demonstrated success in Capacity Planning for a major private or public cloud
- Experience with planning for large-scale technical infrastructure and distributed systems
- Experience working with variety of technical and business teams
- Experience with mathematical optimization
- Experience and interest in building "Zero to One" - building systems and process from scratch with ambiguous requirements and goals
- MS or PhD in Computer Science, Operations Research, or other technical field
ABOUT META:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
INTRODUCTION
Meta is seeking a Performance & Capacity Engineer to join the Capacity Engineering & Analysis team to focus on site-wide performance and capacity optimization at the intersection of all Meta products and services, and all physical infrastructure (Servers, Data Centers, Network). You will build and optimize infrastructure capacity planning processes and tools covering all of Meta, in one of our largest transformations of how we plan and manage infrastructure capacity. You will be in a highly cross-functional role, with the opportunity to work with a variety of engineering and business teams at the intersection of all Meta products and services (Facebook, Instagram, WhatsApp, etc), all physical infrastructure (Servers, Data Centers, Network), and product business goals (AI, Metaverse, etc). You will optimize capacity plans that inform strategic infrastructure and product decisions at the executive level, as well as providing execution guidance for infrastructure and product teams. To do this, you will partner across technical and business orgs to design the right solutions and lead engineers to build effective technical and process solutions to transform Meta's capacity planning process to be software driven, highly flexible, agile, and ROI Driven. You will connect business strategy with software-driven modeling of detailed service, platform, and infrastructure considerations for executable plans.
Performance & Capacity Engineer - Planning Optimization Responsibilities:
- Own both technical as well as business outcomes for capacity planning for all of Meta: all software products/services and plans for how to scale server and data center resources most efficiently
- Build automated, scalable data and analytics solutions by developing advanced automation, mathematical optimization, and/or AI models
- Use the tools you build to own the business outcomes: develop and analyze variety of business and technical scenarios to inform executive decision-making around infrastructure/product, up to the CxO level
- Design and help build software systems to build scalable, reliable planning systems to connect business strategy with detailed technical execution including regional and temporal bin-packing, optimal service placement, traffic shifts and service migrations, efficient hardware refresh, etc
- Partner across the engineering technical landscape to optimize at the intersection of hardware, infrastructure, and software. Work closely with software service owners, Production Engineering, Server Hardware Engineering, Server Supply Chain, Network Engineering, Data Center Design, Operations, and Planning teams to identify efficient ways to scale infrastructure and place our services
- Effectively lead company-wide Capacity Planning business processes across technical and non-technical contributors
- Partner with Finance to balance cost efficiency with technical and product considerations
- Greenfield work: Work cross-functionally to define problem statements, collect data, build software-driven models and make recommendations to drive change and optimization at the company level
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 8+ years of experience in any coding language and designing software systems, OR 4+ years experience with a PhD
- 8+ years of experience in capacity, performance, software, or reliability engineering, OR 4+ years experience with a PhD
- Experience navigating ambiguous problem spaces and ramping up on new technical and business domains to deliver results
PREFERRED QUALIFICATIONS:
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Practical experience and demonstrated success in Capacity Planning for a major private or public cloud
- Experience with planning for large-scale technical infrastructure and distributed systems
- Experience working with variety of technical and business teams
- Experience with mathematical optimization
- Experience and interest in building "Zero to One" - building systems and process from scratch with ambiguous requirements and goals
- MS or PhD in Computer Science, Operations Research, or other technical field
ABOUT META:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
H-1B1 Singapore Technology Job Roles in New York
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Search Technology Jobs in New YorkTechnology H-1B1 Singapore Sponsorship Jobs in New York: Frequently Asked Questions
Which technology companies sponsor H-1B1 Singapore visas in New York?
Technology and tech-adjacent employers in New York with documented H-1B1 visa sponsorship history include Google, Amazon Web Services, IBM, Microsoft, Salesforce, Bloomberg, and major financial institutions with large engineering divisions such as JPMorgan Chase and Goldman Sachs. Consulting firms like Cognizant and Infosys also file H-1B1 applications for Singapore nationals placed on New York technology engagements. Sponsorship activity and volume vary by employer and year.
Which cities in New York have the most technology H-1B1 Singapore sponsorship jobs?
Manhattan accounts for the highest concentration of technology H-1B1 Singapore sponsorship roles in New York, driven by its density of enterprise technology, fintech, and media companies. Brooklyn's growing tech and startup sector in neighborhoods like DUMBO and Industry City adds secondary demand. Albany sees occasional roles tied to state government IT contracts, and Buffalo and Rochester have emerging technology employment tied to semiconductor manufacturing and university research partnerships.
What types of technology roles typically qualify for H-1B1 Singapore sponsorship?
Roles that qualify must meet the H-1B1 visa specialty occupation standard, requiring at least a bachelor's degree in a directly related field. In technology, qualifying positions commonly include software engineers, data scientists, machine learning engineers, cloud architects, cybersecurity analysts, DevOps engineers, and systems analysts. General IT support or roles where any unrelated degree is accepted typically do not qualify. The employer confirms the specialty occupation requirement when filing the Labor Condition Application with DOL.
How do I find technology H-1B1 Singapore sponsorship jobs in New York?
Migrate Mate lets you filter specifically for H-1B1 Singapore sponsorship roles within the technology sector in New York, surfacing employers with verified DOL Labor Condition Application filing history. This is more targeted than general job searches because it shows companies that have actively sponsored Singapore nationals rather than those that may be open to it in principle. Start on Migrate Mate, filter by visa type, state, and industry to build a list of confirmed-sponsoring employers to prioritize in your applications.
Are there any New York-specific considerations for H-1B1 Singapore technology sponsorship?
New York's prevailing wage requirements follow DOL wage levels, but New York City's high cost of living means many employers structure offers at wage level III or IV to remain competitive, which can work in applicants' favor for meeting H-1B1 visa wage standards. New York State also has strong worker protection laws that apply to H-1B1 holders once employed. Singapore nationals should confirm their employer is registered with E-Verify if the role involves any government contract work, as that is a separate federal requirement.
What is the prevailing wage for H-1B1 Singapore technology jobs in New York?
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.