H-1B1 Singapore Visa Cybersecurity Jobs
Cybersecurity jobs with H-1B1 Singapore visa sponsorship are accessible to Singaporean nationals without a lottery or USCIS petition. The 5,400-visa annual cap rarely fills, and you apply directly at the consulate with an employer-backed Labor Condition Application. Roles in threat analysis, penetration testing, and security operations consistently qualify as specialty occupations.
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Get Access To All JobsAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
We're looking for a Capabilities Researcher to join the team building Claude Security. In this role, you'll identify which security capabilities in frontier models are ready to build on, measure how well they perform, and work out how to make them useful to customers who are not security experts. Frontier models have become substantially more capable at security work over recent generations, and they continue to improve with each release. That progress creates a set of practical questions: which capabilities are reliable enough to depend on, how they perform in realistic conditions, how they behave when an adversary is involved, and where their limits are. You'll be responsible for answering those questions through fast prototyping and rigorous evaluation, and your findings will shape what the team decides to build. You'll also work on making those capabilities usable. Together with engineers on the team, you'll design the scaffolding, tooling, and defaults that let a strong model capability do useful work for a non-expert, and you'll stay involved as it becomes a product. This is a research role on a product team, with a broad charge and real latitude in what you investigate. It suits someone who already has ideas about what AI should be able to do for security teams and wants the models, the time, and the engineering support to pursue them.
Responsibilities
- Prototype rapidly to find define the AI frontier for cybersecurity work
- Design evaluations that measure model performance on the work security teams actually do
- Build the datasets, harnesses, and scoring those evaluations depend on
- Engage with the cybersecurity community to help define where AI can make the most impact
- Work with engineers and researchers to operationalize promising capabilities into something customers can rely on
- Track how model capabilities for security are changing, and what that means for what we build next
- Share findings that inform product direction, and partner with product leadership on priorities
You May Be a Good Fit If You
- Have deep expertise in one or more security domains, such as vulnerability research, exploit development, reverse engineering, malware analysis, incident response, or offensive security
- Have built AI-powered tools or capabilities for security work
- Can get from an idea to a working prototype quickly, and abandon the ones that don't hold up
- Are comfortable designing rigorous evaluations and interpreting the results honestly
- Can write and communicate clearly about technical findings
- Have 7+ years of experience in security research, security engineering, or a closely related field
Strong Candidates May Also Have
- Published research, CTF results, CVEs, or open source security tooling
- Experience with model evaluation, benchmarking, or red teaming
- Experience building agentic applications
- Familiarity with the safety considerations of AI in security contexts
Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$320,000—$405,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
We're looking for a Capabilities Researcher to join the team building Claude Security. In this role, you'll identify which security capabilities in frontier models are ready to build on, measure how well they perform, and work out how to make them useful to customers who are not security experts. Frontier models have become substantially more capable at security work over recent generations, and they continue to improve with each release. That progress creates a set of practical questions: which capabilities are reliable enough to depend on, how they perform in realistic conditions, how they behave when an adversary is involved, and where their limits are. You'll be responsible for answering those questions through fast prototyping and rigorous evaluation, and your findings will shape what the team decides to build. You'll also work on making those capabilities usable. Together with engineers on the team, you'll design the scaffolding, tooling, and defaults that let a strong model capability do useful work for a non-expert, and you'll stay involved as it becomes a product. This is a research role on a product team, with a broad charge and real latitude in what you investigate. It suits someone who already has ideas about what AI should be able to do for security teams and wants the models, the time, and the engineering support to pursue them.
Responsibilities
- Prototype rapidly to find define the AI frontier for cybersecurity work
- Design evaluations that measure model performance on the work security teams actually do
- Build the datasets, harnesses, and scoring those evaluations depend on
- Engage with the cybersecurity community to help define where AI can make the most impact
- Work with engineers and researchers to operationalize promising capabilities into something customers can rely on
- Track how model capabilities for security are changing, and what that means for what we build next
- Share findings that inform product direction, and partner with product leadership on priorities
You May Be a Good Fit If You
- Have deep expertise in one or more security domains, such as vulnerability research, exploit development, reverse engineering, malware analysis, incident response, or offensive security
- Have built AI-powered tools or capabilities for security work
- Can get from an idea to a working prototype quickly, and abandon the ones that don't hold up
- Are comfortable designing rigorous evaluations and interpreting the results honestly
- Can write and communicate clearly about technical findings
- Have 7+ years of experience in security research, security engineering, or a closely related field
Strong Candidates May Also Have
- Published research, CTF results, CVEs, or open source security tooling
- Experience with model evaluation, benchmarking, or red teaming
- Experience building agentic applications
- Familiarity with the safety considerations of AI in security contexts
Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$320,000—$405,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
See all 356+ H-1B1 Singapore Visa Cybersecurity Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Cybersecurity Jobs.
Get Access To All JobsTips for Finding Cybersecurity Jobs
Certify your credentials match SOC codes
Cybersecurity roles span multiple Standard Occupational Classification codes. Confirm your academic transcripts and professional certifications align with the SOC code your employer lists on the Labor Condition Application, since a mismatch can trigger a wage-level dispute with DOL.
Use OFLC Wage Search before negotiating
Run your target role through OFLC Wage Search using the exact job title and metro area before your offer call. H-1B1 visa LCA wages must meet the prevailing wage for your SOC code, so knowing Level I versus Level III thresholds strengthens your negotiation position.
Target employers with active LCA filing history
Search Migrate Mate to filter cybersecurity employers by verified H-1B1 visa and H-1B visa LCA filing history. Companies already running active LCAs for security roles have HR and legal workflows in place, which shortens your time from offer to consulate appointment.
Prioritize firms with federal contractor status
Federal contractors in defense, infrastructure, and cloud security regularly sponsor H-1B1 visa workers and often hold clearance pipelines for Singaporean nationals. Confirm E-Verify enrollment during your recruiter screen, since federal contractors are required to use it.
Request LCA certification before resigning
Your employer must receive DOL-certified LCA before you schedule your consulate interview. Build in at least ten business days for DOL processing and confirm the certified LCA is in hand before you give notice or book travel to the U.S. consulate.
Prepare your O*NET specialty occupation evidence
Consular officers verify that your cybersecurity role meets the specialty occupation standard. Print the O*NET profile for your exact job title showing the typical education requirement as a bachelor's degree or higher, and bring it as supporting documentation to your interview.
Frequently Asked Questions
Do cybersecurity roles qualify as specialty occupations for the H-1B1 Singapore visa?
Yes. Roles such as information security analyst, penetration tester, threat intelligence analyst, and security architect require at least a bachelor's degree in computer science, information security, or a directly related field. That degree requirement is what makes them specialty occupations. Your employer documents this on the Labor Condition Application, and the consular officer verifies it at your interview.
How does the H-1B1 Singapore visa compare to H-1B for cybersecurity professionals?
The H-1B1 visa skips the lottery and USCIS petition entirely. You apply directly at the U.S. consulate in Singapore once your employer files a certified LCA with DOL. The annual cap is 5,400 and has never been exhausted. H-1B requires an employer to file a petition with USCIS, costs more in filing fees, and selection depends on a random lottery with no guarantee of entry.
How do I find cybersecurity employers who sponsor H-1B1 Singapore visas?
Use Migrate Mate to search cybersecurity roles filtered by employers with verified LCA filing history. Because the H-1B1 visa uses the same LCA process as the H-1B, an employer's existing LCA filings for security roles signals they already have the legal infrastructure to sponsor you without building a new workflow from scratch.
Can I transfer my H-1B1 Singapore visa if I change cybersecurity employers?
There is no portability provision like H-1B portability. If you change employers, your new employer must file a fresh LCA with DOL and you must attend a new consulate interview. Plan for a gap between your last day and your new start date, and do not resign until your new employer's LCA is certified and your appointment is scheduled.
Does a security clearance affect my H-1B1 Singapore visa sponsorship process?
The H-1B1 visa itself does not grant or require a security clearance. However, some cybersecurity roles at federal contractors require one for the job. Clearance eligibility depends on the specific agency and contract, not on visa status. Your employer initiates the clearance process separately after you begin work, and your Singaporean nationality is assessed on a case-by-case basis by the sponsoring agency.