Computer Engineer Visa Sponsorship Jobs in New York
Computer engineer visa sponsorship jobs in New York put you at the center of one of the world's most active tech markets. Major employers like Google, Amazon, IBM, and Bloomberg file LCAs for computer engineers across Manhattan, Brooklyn, and the Hudson Valley. Financial services firms, healthcare technology companies, and startups in the city's Silicon Alley corridor hire internationally at scale.
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Get Access To All JobsINTRODUCTION
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences. As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Why Perplexity is different
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
ROLE AND RESPONSIBILITIES
What you'll do:
- Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product.
- Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each.
- Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces.
- Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes.
- Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts.
- Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces.
BASIC QUALIFICATIONS
- 2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping).
- Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend).
- Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
- Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents).
- Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data.
- Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
- Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
- Genuine interest and adoption of AI products and willingness to learn quickly.
PREFERRED QUALIFICATIONS
- Direct experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company.
- Experience training and productionizing ML models (classifiers, ranking, personalization) and connecting them to product surfaces.
- Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces.
- Familiarity with subscription and/or usage based billing products, paywalls, or paid upgrade experimentation.
- Experience shipping for both consumer and enterprise audiences.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
- Familiarity with mobile development - Swift/Objective-C/Kotlin/Java, in-app payments, mobile release cycles, Apple App Store and/or Google Play Store guidelines, and rollout monitoring.
COMPENSATION RANGE
- Compensation Range: $220K - $405K
INTRODUCTION
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences. As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Why Perplexity is different
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
ROLE AND RESPONSIBILITIES
What you'll do:
- Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product.
- Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each.
- Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces.
- Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes.
- Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts.
- Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces.
BASIC QUALIFICATIONS
- 2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping).
- Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend).
- Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
- Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents).
- Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data.
- Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
- Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
- Genuine interest and adoption of AI products and willingness to learn quickly.
PREFERRED QUALIFICATIONS
- Direct experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company.
- Experience training and productionizing ML models (classifiers, ranking, personalization) and connecting them to product surfaces.
- Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces.
- Familiarity with subscription and/or usage based billing products, paywalls, or paid upgrade experimentation.
- Experience shipping for both consumer and enterprise audiences.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
- Familiarity with mobile development - Swift/Objective-C/Kotlin/Java, in-app payments, mobile release cycles, Apple App Store and/or Google Play Store guidelines, and rollout monitoring.
COMPENSATION RANGE
- Compensation Range: $220K - $405K
Computer Engineer Job Roles in New York
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Search Computer Engineer Jobs in New YorkComputer Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for computer engineers in New York?
Large technology and financial services employers dominate computer engineer sponsorship in New York. Google, Amazon, Microsoft, IBM, Bloomberg, JPMorgan Chase, and Goldman Sachs have consistent LCA filing histories for computer engineering roles. Healthcare technology companies such as Zocdoc and Oscar Health, along with enterprise software firms in Midtown Manhattan, also sponsor regularly. Consulting firms like Accenture and Deloitte round out the picture, particularly for systems and infrastructure engineering roles.
Which visa types realistically fit computer engineer roles in New York?
The H-1B visa is the most common path, covering computer engineering as a specialty occupation requiring a relevant bachelor's degree. The H-1B is subject to an annual cap and selection process. Australian nationals can use the E-3 visa, which requires an LCA but has no lottery. Chilean and Singaporean nationals may qualify for the H-1B1 visa. Canadian and Mexican nationals holding an engineering degree can enter on a TN visa under the USMCA Engineer category. F-1 students may use OPT or STEM OPT if their degree is STEM-designated.
Which cities in New York have the most computer engineer sponsorship jobs?
New York City accounts for the overwhelming majority of computer engineer sponsorship activity in the state, with Manhattan and Brooklyn hosting the densest concentration of employers. The Hudson Valley corridor, including IBM's historic research presence in Yorktown Heights, adds meaningful volume outside the city. Buffalo has a growing technology sector tied to university research pipelines, and Rochester's optics and photonics industry creates demand for computer engineers with hardware and embedded systems backgrounds.
How to find computer engineer visa sponsorship jobs in New York?
Migrate Mate lists computer engineer roles in New York from employers with verified LCA sponsorship history, so you can search specifically for positions where the employer has already demonstrated willingness to sponsor. Filter by role and location to focus on New York City, Albany, or Buffalo depending on your target. Because LCA data is verified, you avoid applying to roles where sponsorship is listed informally but no filing history exists.
Are there any New York-specific factors that affect computer engineer visa sponsorship?
New York's concentration of financial services employers means many computer engineer roles fall under fintech, trading systems, or regulatory technology, which carry specific degree requirements. Columbia University, NYU, and Cornell Tech generate a strong F-1 pipeline that keeps employers familiar with OPT and STEM OPT processes. New York City's high prevailing wage levels, as determined by DOL, mean LCA-certified salaries for computer engineers in the metro area are among the highest in the country, which affects employer cost calculations for sponsorship.
What is the prevailing wage for sponsored computer engineer 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.