E-3 Visa Motor Winder Jobs
Motor Winder jobs in the U.S. qualify for E-3 visa sponsorship when the role meets the specialty occupation standard, typically requiring a degree or equivalent in electrical engineering or a closely related technical field. The E-3 has no lottery and no annual cap, making it a reliable path for Australian professionals with hands-on winding and coil fabrication expertise.
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DESCRIPTION
We are seeking a Robotics/AI Motor Control Scientist to develop cutting-edge machine learning algorithms for motor control systems in robots. In this role, you will focus on creating and optimizing intelligent motor control strategies to enable robots to perform complex, whole-body tasks. Your contributions will be essential in advancing robotics by enabling fluid, reliable, and safe interactions between robots and their environments.
Key job responsibilities
- Develop controllers that leverage reinforcement learning, imitation learning, or other advanced AI techniques to achieve natural, robust, and adaptive motor behaviors
- Collaborate with multi-disciplinary teams to integrate motor control systems with robotic hardware, ensuring alignment with real-world constraints such as actuator dynamics and energy efficiency
- Use simulation and real-world testing to refine and validate control algorithms
- Stay updated on advancements in robotics, AI, and control systems to apply advanced techniques to robotic motion challenges
- Lead technical projects from conception through production deployment
- Mentor junior scientists and engineers
- Bridge research initiatives with practical engineering implementation
About the team
Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces.
We believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products.
Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful.
At Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build.
If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we’re interested in hearing from you.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 6+ years of applied research experience
- 3+ years of industry or academic research experience
- Experience in Java, C++, Python, or a related language
- Experience leading technical initiatives and key deliverables
- Experience in mentoring, leading, or managing more junior engineers
- Strong publication record at major Robotics/ML/AI conferences (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR)
- Experience with simulation environments for robot learning (Isaac Gym/Lab, MuJoCo, or similar)
- Experience with sim-to-real transfer for robotic systems
- Strong understanding of kinematics and motion planning for robotic systems
- Experience with reinforcement learning, imitation learning, or other AI techniques applied to robotic motor control
PREFERRED QUALIFICATIONS
- Experience working with PyTorch or JAX software, or experience programming with at least one software programming language
- History of impactful first-author publications at major conferences
- Experience with large-scale distributed training for RL
- History of technical leadership and cross-functional collaboration
- Experience bridging research with practical engineering implementation in robotics systems
- Experience bridging academic research and production robotics
- Experience integrating perception systems (e.g., vision and touch sensors) into motor control pipelines
- Familiarity with hardware constraints and actuator dynamics for robots
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.
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, NY, New York
COMPENSATION
- Salary Range: $183,800.00 - $248,700.00 USD annually

DESCRIPTION
We are seeking a Robotics/AI Motor Control Scientist to develop cutting-edge machine learning algorithms for motor control systems in robots. In this role, you will focus on creating and optimizing intelligent motor control strategies to enable robots to perform complex, whole-body tasks. Your contributions will be essential in advancing robotics by enabling fluid, reliable, and safe interactions between robots and their environments.
Key job responsibilities
- Develop controllers that leverage reinforcement learning, imitation learning, or other advanced AI techniques to achieve natural, robust, and adaptive motor behaviors
- Collaborate with multi-disciplinary teams to integrate motor control systems with robotic hardware, ensuring alignment with real-world constraints such as actuator dynamics and energy efficiency
- Use simulation and real-world testing to refine and validate control algorithms
- Stay updated on advancements in robotics, AI, and control systems to apply advanced techniques to robotic motion challenges
- Lead technical projects from conception through production deployment
- Mentor junior scientists and engineers
- Bridge research initiatives with practical engineering implementation
About the team
Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces.
We believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products.
Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful.
At Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build.
If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we’re interested in hearing from you.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 6+ years of applied research experience
- 3+ years of industry or academic research experience
- Experience in Java, C++, Python, or a related language
- Experience leading technical initiatives and key deliverables
- Experience in mentoring, leading, or managing more junior engineers
- Strong publication record at major Robotics/ML/AI conferences (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR)
- Experience with simulation environments for robot learning (Isaac Gym/Lab, MuJoCo, or similar)
- Experience with sim-to-real transfer for robotic systems
- Strong understanding of kinematics and motion planning for robotic systems
- Experience with reinforcement learning, imitation learning, or other AI techniques applied to robotic motor control
PREFERRED QUALIFICATIONS
- Experience working with PyTorch or JAX software, or experience programming with at least one software programming language
- History of impactful first-author publications at major conferences
- Experience with large-scale distributed training for RL
- History of technical leadership and cross-functional collaboration
- Experience bridging research with practical engineering implementation in robotics systems
- Experience bridging academic research and production robotics
- Experience integrating perception systems (e.g., vision and touch sensors) into motor control pipelines
- Familiarity with hardware constraints and actuator dynamics for robots
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.
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, NY, New York
COMPENSATION
- Salary Range: $183,800.00 - $248,700.00 USD annually
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Motor Winder
Document your technical credentials precisely
Australian three-year engineering degrees satisfy U.S. specialty occupation requirements, but you'll need official transcripts and a credential evaluation showing field-specific equivalency. A general evaluation isn't enough, it must confirm your degree aligns with the Motor Winder role.
Target industrial equipment and MRO employers
Maintenance, repair, and overhaul facilities, electric motor rewinding shops, and large manufacturers running high-voltage equipment are the employers most likely to justify E-3 sponsorship for this trade. Search DOL LCA disclosure data to identify which companies have filed for similar technical roles.
Clarify specialty occupation standing upfront
Not every Motor Winder posting will meet USCIS's specialty occupation threshold. Before accepting an offer, confirm the job description explicitly requires a degree in electrical engineering or a related technical field, not just trade experience or an apprenticeship certificate.
Use Migrate Mate's E-3 filing service for LCA and paperwork
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. The LCA must be certified by the DOL before your consulate application, and errors at that stage can delay your start date significantly.
Negotiate your offer against DOL prevailing wage
Your employer must certify your salary meets the DOL prevailing wage for your specific occupation and work location before the LCA is approved. Review the wage level tied to your job duties so your offer letter reflects the right amount before filing begins.
Prepare for consulate questions on specialty occupation
Australian consular officers assess whether your role genuinely requires a degree, not just technical skill. Bring your degree certificate, credential evaluation, and a detailed employer letter describing the theoretical and analytical demands of the position.
Motor Winder jobs are hiring across the US. Find yours.
Find Motor Winder JobsMotor Winder E-3 Visa: Frequently Asked Questions
How do I find Motor Winder jobs that offer E-3 visa sponsorship?
Search Migrate Mate to filter Motor Winder roles by employers with active E-3 or LCA filing history. Because the E-3 requires employer-sponsored LCA filings with the DOL, companies already familiar with the process are far more likely to sponsor an Australian candidate without lengthy internal approvals.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Motor Winder role qualify as a specialty occupation for the E-3?
It depends on how the position is defined. If the employer requires a bachelor's degree or higher in electrical engineering or a closely related technical discipline as a standard entry requirement, it can qualify. Roles filled primarily through apprenticeships or trade certificates, without a degree requirement, are harder to support under USCIS's specialty occupation definition and may face scrutiny at the consulate.
How does the E-3 compare to the H-1B for Australian Motor Winder professionals?
The E-3 is significantly more predictable for this role. Unlike the H-1B, the E-3 has no lottery and no annual cap, so a qualified Australian candidate with an employer offer can proceed directly to filing without waiting for a random selection. The E-3 also renews indefinitely in two-year increments, giving you long-term continuity as long as your employment continues.
Can my Australian trade experience substitute for a degree on the E-3?
USCIS allows equivalent experience to substitute for a degree under a three-for-one rule: three years of specialized experience replaces one year of education. For a four-year degree, you'd need twelve years of progressively responsible, field-specific experience. A qualified credential evaluator must document this equivalency formally, and the employer's job description must still require degree-level qualifications to support the specialty occupation argument.
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