H-1B1 Singapore Visa Physics Jobs
Physics jobs with H-1B1 Singapore visa sponsorship let Singaporean nationals bypass the H-1B lottery entirely. With 5,400 visas available annually and a cap that rarely fills, you apply directly at the U.S. consulate in Singapore, no USCIS petition, no wait for an October start date.
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In this role, you will act as the primary specialist for physics engine internals and dynamics, developing high-fidelity, vectorized simulation environments for robotics locomotion, navigation, and interaction/manipulation. You will collaborate with hardware engineers to validate robot models and partner with research scientists to ensure numerical stability and physical accuracy for Sim2Real transfer. Your work focuses on tuning solvers, optimizing collision dynamics, and performing system identification to enable the training of robust robot control policies for complex, physical interactions.
Key job responsibilities
- Develop and maintain the shared simulation software framework, specifically owning the physics integration, robot state management, and control layers
- Develop and optimize parallelized (vectorized) physics environments for high-throughput reinforcement learning (e.g., Isaac Lab, MuJoCo)
- Tune physics engine parameters (solvers, friction, restitution) to support complex contact-rich scenarios required for dexterous manipulation and agile locomotion
- Implement and validate complex robot models (URDF/MJCF) involving precise actuator and sensor modeling
- Collaborate with robot engineers and scientists to perform System Identification (SysID) to minimize the Sim2Real gap
About the team
At Frontier AI & Robotics (FAR), we're not just advancing robotics – we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 1+ years Software engineering experience in robotics or physics simulation, with a strong understanding of rigid body dynamics and numerical integration
- Experience using standard physics engines (e.g., MuJoCo, PhysX, Bullet, Havok)
PREFERRED QUALIFICATIONS
- Master’s degree or PhD in Robotics, Computer Science, Mechanical Engineering, or equivalent preferred
- Deep understanding of contact dynamics, collision detection algorithms, and numerical solvers
- Experience with robotics system identification (SysID) and model validation against real hardware
- Experience with GPU-accelerated simulation frameworks (e.g., Isaac Gym/Lab, Mujoco Warp)
- Familiarity with tensor frameworks (e.g., PyTorch, JAX, TensorFlow) for writing vectorized code and interfacing with learning pipelines
- A passion for robotics and a desire to build intelligent systems that can positively impact the world.
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.
Pursuant to the San Francisco 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, San Francisco - 165,200.00 - 223,600.00 USD annually
DESCRIPTION
In this role, you will act as the primary specialist for physics engine internals and dynamics, developing high-fidelity, vectorized simulation environments for robotics locomotion, navigation, and interaction/manipulation. You will collaborate with hardware engineers to validate robot models and partner with research scientists to ensure numerical stability and physical accuracy for Sim2Real transfer. Your work focuses on tuning solvers, optimizing collision dynamics, and performing system identification to enable the training of robust robot control policies for complex, physical interactions.
Key job responsibilities
- Develop and maintain the shared simulation software framework, specifically owning the physics integration, robot state management, and control layers
- Develop and optimize parallelized (vectorized) physics environments for high-throughput reinforcement learning (e.g., Isaac Lab, MuJoCo)
- Tune physics engine parameters (solvers, friction, restitution) to support complex contact-rich scenarios required for dexterous manipulation and agile locomotion
- Implement and validate complex robot models (URDF/MJCF) involving precise actuator and sensor modeling
- Collaborate with robot engineers and scientists to perform System Identification (SysID) to minimize the Sim2Real gap
About the team
At Frontier AI & Robotics (FAR), we're not just advancing robotics – we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 1+ years Software engineering experience in robotics or physics simulation, with a strong understanding of rigid body dynamics and numerical integration
- Experience using standard physics engines (e.g., MuJoCo, PhysX, Bullet, Havok)
PREFERRED QUALIFICATIONS
- Master’s degree or PhD in Robotics, Computer Science, Mechanical Engineering, or equivalent preferred
- Deep understanding of contact dynamics, collision detection algorithms, and numerical solvers
- Experience with robotics system identification (SysID) and model validation against real hardware
- Experience with GPU-accelerated simulation frameworks (e.g., Isaac Gym/Lab, Mujoco Warp)
- Familiarity with tensor frameworks (e.g., PyTorch, JAX, TensorFlow) for writing vectorized code and interfacing with learning pipelines
- A passion for robotics and a desire to build intelligent systems that can positively impact the world.
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.
Pursuant to the San Francisco 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, San Francisco - 165,200.00 - 223,600.00 USD annually
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Get Access To All JobsTips for Finding Physics Jobs
Translate your physics credentials into U.S. specialty occupation language
Review the O*NET profile for your target role, physicist, research scientist, or optical engineer, and map your NUS, NTU, or overseas degree directly to its listed education requirements before you contact any employer.
Target national labs and university research departments first
Federal research institutions and R1 universities file Labor Condition Applications routinely for physics roles and are familiar with H-1B1 Singapore. Their HR teams won't treat consular processing as an unfamiliar edge case.
Search H-1B1 Singapore physics roles on Migrate Mate
Migrate Mate filters jobs by employers with verified H-1B1 visa Singapore sponsorship history, so you're not cold-applying to companies that have never filed for a Singaporean national in a physics or STEM research role.
Confirm the employer will certify an LCA before accepting an offer
The H-1B1 process requires a certified DOL Labor Condition Application before your consulate interview. Ask your hiring manager explicitly whether their legal team has done this before, delays here push back your start date, not the employer's.
Use OFLC Wage Search to benchmark your offer against the prevailing wage
The LCA must certify your offered wage meets the DOL prevailing wage for your physics job title and work location. Pull the OFLC Wage Search figure yourself so you can flag any shortfall before the employer submits the LCA.
Prepare your nonimmigrant intent documentation for the consulate interview
Unlike H-1B, the H-1B1 Singapore visa does not confer dual intent. Bring documentation of ties to Singapore, property, family, professional memberships, so the consular officer can confirm you intend to return after your authorized stay.
Frequently Asked Questions
Do physics jobs qualify as a specialty occupation under the H-1B1 Singapore visa?
Yes. Physics roles requiring at least a bachelor's degree in physics, applied physics, or a closely related field satisfy the H-1B1 specialty occupation standard. Roles in research, instrumentation, optics, semiconductor physics, and materials science all qualify. Your employer confirms the degree requirement in the Labor Condition Application, and USCIS does not separately adjudicate the petition, eligibility is assessed at the consulate.
How does the H-1B1 Singapore visa compare to H-1B for physicists?
For Singaporean nationals, the H-1B1 is categorically faster and more predictable than H-1B. There is no lottery, no USCIS petition, and no October 1 start-date constraint. You apply directly at the U.S. consulate after your employer certifies a Labor Condition Application. The trade-off is that H-1B1 does not allow dual intent, so you cannot file for a green card while on H-1B1 status without complicating your nonimmigrant standing.
Which U.S. employers regularly sponsor H-1B1 Singapore visas for physics roles?
National laboratories, R1 research universities, semiconductor manufacturers, defense contractors, and precision instrumentation companies are the most consistent H-1B1 Singapore sponsors for physics roles. Many have established LCA workflows for Singaporean nationals. Migrate Mate surfaces employers with verified H-1B1 Singapore filing history so you can focus your applications on companies already familiar with the process.
Can I switch physics employers while on an H-1B1 Singapore visa?
Yes, but you can't port the way an H-1B holder can under AC21 portability rules. Your new employer must certify a fresh Labor Condition Application, and you'll typically need to obtain a new H-1B1 visa stamp at the consulate before starting. If you're already inside the U.S., consult an immigration attorney about whether a change of status or consular return is the right path.
How long does the H-1B1 Singapore consulate process take for physics job applicants?
Once your employer's LCA is certified by DOL, which typically takes seven business days, you can schedule your consulate interview in Singapore. Visa processing after a successful interview is generally one to three business days. End-to-end from signed offer to visa stamp is often four to six weeks, significantly shorter than USCIS-based H-1B processing.
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