H-1B Visa Robotics Jobs
Robotics engineers, systems integrators, and automation specialists qualify for H-1B visa sponsorship when the role requires a directly related bachelor's degree or higher. Demand is concentrated in manufacturing, defense, and medical device sectors, where employers file LCAs under SOC codes for mechanical, electrical, and software engineering occupations.
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Our team in Amazon Robotics builds robotic systems that perform manipulation tasks safely and reliably in complex, unstructured environments — at Amazon scale. Our scientists and engineers push the boundaries of robotic manipulation to handle enormous object diversity, bringing deep expertise across planning, control, perception, and machine learning. We learn from real-world data at a scale that few teams in robotics can access.
We are seeking a Senior Software Development Engineer to join the Vulcan program as part of our Motion Behaviors team. You will work alongside experienced roboticists to develop and deploy contact-rich manipulation at speeds and scale not seen anywhere else in the world. You will drive the creation of new tools and pipelines to develop, deploy, and understand the performance of complex item manipulation policies in the messy real world of Amazon global operations. This role sits at the intersection of robotics, ML systems, and production engineering — ideal for someone who wants to build infrastructure that makes robots better every day.
Key job responsibilities
- Design and build software infrastructure for motion behavior execution, including controller interfaces, behavior configuration, and runtime introspection.
- Improve the maintainability and extensibility of the behavior stack to allow for faster development and testing.
- Build observability and debugging tools for production robot behaviors, including structured traces, failure signatures, and behavior-level metrics.
- Develop replay, regression, and evaluation infrastructure for comparing behavior versions and validating changes before production rollout.
- Define and own the safe deployment strategy for behavior changes, including versioning, feature flags, A/B testing, and automated experiment reporting.
- Build the runtime integration layer for learned behavior components, including policy wrappers, inference monitoring, safety envelopes, and fallback rationale.
- Build supportive ML training and deployment pipelines that scale as the team expands its learned behavior development.
- Set software engineering standards for the team — establishing best practices and mentoring team on testing, code quality, system reliability, and production readiness.
- Collaborate closely with applied scientists and engineers to turn algorithms and prototypes into reliable, production-ready robotic behavior capabilities.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
-
Medical, Dental, and Vision Coverage
-
Maternity and Parental Leave Options
-
Paid Time Off (PTO)
-
401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Strong proficiency in C++ and Python
- Experience building production-quality systems for robotics, autonomy, controls, or other complex real-time/near-real-time domains
- Experience with production deployment, observability, and operational excellence for systems that run continuously
PREFERRED QUALIFICATIONS
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience with ML training pipelines, model deployment, or inference infrastructure
- Experience with data replay, simulation, and A/B testing
- Familiarity with real-time control systems, robotic middleware, and/or motion planning algorithms
- Experience with state machines, behavior trees, or autonomous system runtimes
LOCATION
USA, WA, Seattle
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.
168,100.00 - 227,400.00 USD annually
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
DESCRIPTION
Our team in Amazon Robotics builds robotic systems that perform manipulation tasks safely and reliably in complex, unstructured environments — at Amazon scale. Our scientists and engineers push the boundaries of robotic manipulation to handle enormous object diversity, bringing deep expertise across planning, control, perception, and machine learning. We learn from real-world data at a scale that few teams in robotics can access.
We are seeking a Senior Software Development Engineer to join the Vulcan program as part of our Motion Behaviors team. You will work alongside experienced roboticists to develop and deploy contact-rich manipulation at speeds and scale not seen anywhere else in the world. You will drive the creation of new tools and pipelines to develop, deploy, and understand the performance of complex item manipulation policies in the messy real world of Amazon global operations. This role sits at the intersection of robotics, ML systems, and production engineering — ideal for someone who wants to build infrastructure that makes robots better every day.
Key job responsibilities
- Design and build software infrastructure for motion behavior execution, including controller interfaces, behavior configuration, and runtime introspection.
- Improve the maintainability and extensibility of the behavior stack to allow for faster development and testing.
- Build observability and debugging tools for production robot behaviors, including structured traces, failure signatures, and behavior-level metrics.
- Develop replay, regression, and evaluation infrastructure for comparing behavior versions and validating changes before production rollout.
- Define and own the safe deployment strategy for behavior changes, including versioning, feature flags, A/B testing, and automated experiment reporting.
- Build the runtime integration layer for learned behavior components, including policy wrappers, inference monitoring, safety envelopes, and fallback rationale.
- Build supportive ML training and deployment pipelines that scale as the team expands its learned behavior development.
- Set software engineering standards for the team — establishing best practices and mentoring team on testing, code quality, system reliability, and production readiness.
- Collaborate closely with applied scientists and engineers to turn algorithms and prototypes into reliable, production-ready robotic behavior capabilities.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
-
Medical, Dental, and Vision Coverage
-
Maternity and Parental Leave Options
-
Paid Time Off (PTO)
-
401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Strong proficiency in C++ and Python
- Experience building production-quality systems for robotics, autonomy, controls, or other complex real-time/near-real-time domains
- Experience with production deployment, observability, and operational excellence for systems that run continuously
PREFERRED QUALIFICATIONS
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience with ML training pipelines, model deployment, or inference infrastructure
- Experience with data replay, simulation, and A/B testing
- Familiarity with real-time control systems, robotic middleware, and/or motion planning algorithms
- Experience with state machines, behavior trees, or autonomous system runtimes
LOCATION
USA, WA, Seattle
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.
168,100.00 - 227,400.00 USD annually
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
See all 979+ H-1B Visa Robotics Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Robotics Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Robotics
Match your degree to the SOC code
H-1B specialty occupation requires your degree field to align with the specific SOC code on the LCA. Robotics roles often file under mechanical engineering, electrical engineering, or computer science, so confirm your credential matches before applying.
Search LCA filings by occupation code
Use Migrate Mate to filter employers by DOL LCA filing history for robotics-related SOC codes. This shows you which companies have actually sponsored H-1B workers in your occupation, not just those that post roles.
Verify prevailing wage before negotiating
Your employer must pay at least the DOL prevailing wage for your location and SOC code. Run your role through the OFLC Wage Search before your offer conversation so you know the Level I through Level IV range for your metro area.
Target E-Verify enrolled manufacturers and defense contractors
Federal contractors and subcontractors must use E-Verify, which signals consistent H-1B sponsorship infrastructure. Robotics divisions at aerospace and defense primes are accustomed to filing I-129 petitions and have established immigration counsel.
Document interdisciplinary work for specialty occupation
Robotics roles often blend mechanical, electrical, and software engineering. USCIS scrutinizes petitions where the degree field isn't an exact match. Build a credential portfolio showing coursework or certifications that map directly to the job duties in the LCA.
File premium processing if your start date is fixed
USCIS offers premium processing for I-129 petitions, returning a decision within 15 business days. If you're starting a robotics role tied to a product launch or contract milestone, ask your employer to elect premium processing at filing.
H-1B Visa Robotics: Frequently Asked Questions
Do robotics jobs qualify as H-1B specialty occupations?
Yes, robotics roles qualify when the position requires a bachelor's degree or higher in a directly related field such as mechanical engineering, electrical engineering, computer science, or a closely related discipline. USCIS evaluates whether the specific job duties require that theoretical and practical application of highly specialized knowledge. Roles that accept any degree regardless of field are harder to approve.
Which SOC codes do employers use for robotics H-1B filings?
Employers most commonly file robotics LCAs under SOC codes for mechanical engineers, electrical and electronics engineers, software developers, and industrial engineers, depending on the job's primary function. You can verify which code your employer plans to use by reviewing the certified LCA before your I-129 is filed. O*NET profiles for each occupation describe the degree requirements USCIS uses to assess specialty occupation.
How do I find employers actively sponsoring H-1B visas for robotics roles?
Migrate Mate surfaces employer LCA filing history by occupation code, so you can identify companies that have filed for robotics-related roles in the past. DOL disclosure data is public, but parsing it manually is time-consuming. Filtering by SOC code and location on Migrate Mate shows you which employers have a demonstrated pattern of H-1B sponsorship in your specific area of robotics.
Can my employer sponsor me on H-1B if my degree is in a different engineering field?
A degree in a closely related engineering discipline can support an H-1B petition if the employer can demonstrate the job duties require that specific body of knowledge. USCIS may issue a Request for Evidence asking the employer to explain the nexus between your degree and the role. Employers with strong immigration counsel often address this proactively in the initial petition with a detailed specialty occupation letter.
Does working on defense or government robotics contracts affect my H-1B sponsorship?
Federal contracts don't disqualify you from H-1B sponsorship, but some positions require security clearances that can complicate or delay the process. Employers on federal contracts must also be enrolled in E-Verify. If a role requires a clearance, confirm the employer has a process for sponsoring noncitizens, as some clearance categories are restricted to U.S. persons only.