Technology H-1B1 Singapore Sponsorship Jobs in Washington
H-1B1 Singapore visa sponsorship technology jobs in Washington are concentrated in the Seattle metro, where Amazon, Microsoft, and a dense cluster of mid-size software companies file H-1B1 Labor Condition Applications regularly. Roles in software engineering, cloud infrastructure, data science, and cybersecurity dominate the sponsorship pipeline across Redmond, Bellevue, and Seattle proper.
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The Reality Labs organization is helping more people around the world come together and connect through Augmented and Virtual Reality (AR/VR) products. With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more, RL is committed to advancing the state of the art through ongoing research and development. The potential to change the world is immense - and we’re just getting started. Our Mixed Reality (XR) organization is focused on cutting-edge research and development of machine perception technologies from early concepts to production level across all of Facebook’s AR/VR products and surfaces. These include Oculus products, Facebook Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capacity across a range of product domains including Avatars, AR/VR remote presence/calling, AR Commerce, AR Sharing, Spatial, Calibration and more. In this role, you will be researching and applying a range of software, computer vision and machine learning techniques for solving challenges that bridge virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, visualization and human interaction. As well there are opportunities to collaborate with researchers in Reality Labs (RL) and Facebook AI Research (FAIR).
Computer Vision Engineer, Reality Labs Responsibilities:
- Design and develop novel factory and online calibration algorithms for sensors and displays. Design and prototype automation for calibration in collaboration with mechanical engineers and prototyping technicians
- Collaborate with cross-functional engineering and research teams from Reality Labs and FAIR in computer vision, machine learning, and graphics
- Participate in cutting edge research in computer vision that can be applied to AR/VR product development
- Define projects for other engineers to achieve impact based on your direction
- Contribute to engineering best practices, code quality standards, and technical culture within your team
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 3+ years of experience developing and designing Computer Vision and Perception algorithms for Robotics technologies and systems
- Experience engineering in C++
- Prototyping and engineering experience in at least ONE relevant specialization area in Computer Vision or Perception for Robotics: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-From-Motion
- MS degree in Computer Science, Computer Vision, Robotics or a related technical field
Preferred Qualifications:
- Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, RSS, ICRA, IROS, etc
- Industry experience working on projects such as: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-From-Motion
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
- $154,003/year to $217,000/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
The Reality Labs organization is helping more people around the world come together and connect through Augmented and Virtual Reality (AR/VR) products. With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more, RL is committed to advancing the state of the art through ongoing research and development. The potential to change the world is immense - and we’re just getting started. Our Mixed Reality (XR) organization is focused on cutting-edge research and development of machine perception technologies from early concepts to production level across all of Facebook’s AR/VR products and surfaces. These include Oculus products, Facebook Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capacity across a range of product domains including Avatars, AR/VR remote presence/calling, AR Commerce, AR Sharing, Spatial, Calibration and more. In this role, you will be researching and applying a range of software, computer vision and machine learning techniques for solving challenges that bridge virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, visualization and human interaction. As well there are opportunities to collaborate with researchers in Reality Labs (RL) and Facebook AI Research (FAIR).
Computer Vision Engineer, Reality Labs Responsibilities:
- Design and develop novel factory and online calibration algorithms for sensors and displays. Design and prototype automation for calibration in collaboration with mechanical engineers and prototyping technicians
- Collaborate with cross-functional engineering and research teams from Reality Labs and FAIR in computer vision, machine learning, and graphics
- Participate in cutting edge research in computer vision that can be applied to AR/VR product development
- Define projects for other engineers to achieve impact based on your direction
- Contribute to engineering best practices, code quality standards, and technical culture within your team
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 3+ years of experience developing and designing Computer Vision and Perception algorithms for Robotics technologies and systems
- Experience engineering in C++
- Prototyping and engineering experience in at least ONE relevant specialization area in Computer Vision or Perception for Robotics: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-From-Motion
- MS degree in Computer Science, Computer Vision, Robotics or a related technical field
Preferred Qualifications:
- Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, RSS, ICRA, IROS, etc
- Industry experience working on projects such as: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-From-Motion
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
- $154,003/year to $217,000/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 Washington
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Search Technology Jobs in WashingtonTechnology H-1B1 Singapore Sponsorship Jobs in Washington: Frequently Asked Questions
Which technology companies in Washington sponsor H-1B1 Singapore visas?
Amazon and Microsoft are the highest-volume H-1B1 visa LCA filers in Washington, but mid-size technology companies in the Seattle and Bellevue corridor, including cloud services firms, SaaS companies, and enterprise software developers, also file regularly. Companies that already hold approved H-1B visa or H-1B1 applications have established the internal HR and legal workflows that make sponsoring a Singaporean national more straightforward.
Which cities in Washington have the most technology H-1B1 Singapore sponsorship jobs?
Seattle and Bellevue account for the large majority of technology H-1B1 Singapore sponsorship activity in Washington. Redmond is significant due to Microsoft's headquarters. Kirkland, Bothell, and Renton also have notable technology employer presences. Outside the greater Seattle metro, Spokane has a smaller but growing technology sector, though H-1B1-specific sponsorship activity there is considerably lower.
What types of technology roles typically qualify for H-1B1 Singapore sponsorship?
H-1B1 Singapore visas require the role to be a specialty occupation, meaning it normally requires at least a bachelor's degree in a directly related field. In technology, this covers software engineering, systems architecture, data science, machine learning, cybersecurity analysis, network engineering, and product management roles with a technical degree requirement. Generalist IT support positions that don't require a specific degree field typically do not qualify.
How do I find technology H-1B1 Singapore sponsorship jobs in Washington?
Migrate Mate lets you filter specifically for technology roles with H-1B1 Singapore visa sponsorship history in Washington, so you can identify employers who have filed Labor Condition Applications for this visa category in the state. Targeting companies with an active LCA filing record saves significant time compared to applying broadly and discovering during negotiations that a company has no H-1B1 sponsorship process in place.
Are there any Washington-specific or technology-industry considerations for H-1B1 Singapore sponsorship?
Washington has no state income tax, which affects overall compensation structuring but does not alter federal H-1B1 visa prevailing wage obligations. Technology employers in Washington are generally familiar with work visa sponsorship processes given the concentration of international talent in the Seattle metro. The H-1B1 does not require the H-1B lottery, which makes Washington technology employers more willing to consider Singaporean nationals mid-cycle rather than limiting hiring to pre-lottery windows.
What is the prevailing wage for H-1B1 Singapore technology jobs in Washington?
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.