E-3 Visa Llm Engineer Jobs
LLM Engineer roles qualify as E-3 specialty occupations, requiring a bachelor's degree in computer science, AI, or a related field. Australian nationals can secure E-3 visa sponsorship without entering a lottery, making it faster to start than H-1B visa. The 10,500 annual allocation has never been exhausted.
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Get Access To All JobsCompany:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.
Minimum Qualifications:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
* PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications:
Master's degree in Computer Science, Engineering, Information Systems, or related field.
5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++).
5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
3+ years experience working in a large matrixed organization.
2+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).
* 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
Principal Duties and Responsibilities:
Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
Models, architects, and develops advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.
Develops and applies machine learning techniques into products and/or AI solutions to enable customers to do the same.
Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and working features.
Oversees and conducts experiments to train and evaluate machine learning models and/or software.
Level of Responsibility:
Works independently with minimal supervision.
Provides supervision/guidance to other team members.
Decision-making is significant in nature and affects work beyond immediate work group.
Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$160,500.00 - $240,700.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.
Minimum Qualifications:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
* PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications:
Master's degree in Computer Science, Engineering, Information Systems, or related field.
5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++).
5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
3+ years experience working in a large matrixed organization.
2+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).
* 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
Principal Duties and Responsibilities:
Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
Models, architects, and develops advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.
Develops and applies machine learning techniques into products and/or AI solutions to enable customers to do the same.
Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and working features.
Oversees and conducts experiments to train and evaluate machine learning models and/or software.
Level of Responsibility:
Works independently with minimal supervision.
Provides supervision/guidance to other team members.
Decision-making is significant in nature and affects work beyond immediate work group.
Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$160,500.00 - $240,700.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
See all 37+ E-3 Visa Llm Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Llm Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Llm Engineer
Translate your Australian degree credentials early
A three-year Australian bachelor's in computer science or AI satisfies the E-3 visa specialty occupation degree requirement. Get a credential evaluation from a NACES-member evaluator before you start applying so employers don't raise questions during the offer stage.
Target employers with active LCA filing history
Search DOL's Office of Foreign Labor Certification disclosure data for companies that have filed LCAs for software engineer or machine learning titles. These employers already understand the E-3 process and won't need to be educated on sponsorship basics.
Use Migrate Mate to find verified E-3 roles
LLM Engineer positions with E-3 sponsorship aren't always flagged clearly on general job boards. Migrate Mate filters specifically for Australian professionals and E-3-eligible roles, so you're not manually screening hundreds of listings for sponsorship willingness.
Clarify the specialty occupation link in your offer letter
LLM Engineer is an emerging title, and consular officers may scrutinize whether it meets specialty occupation criteria. Ask your employer to specify in the offer letter that the role requires a degree in a directly related technical field, not just any bachelor's degree.
File your LCA before accepting a start date
DOL typically certifies LCAs within seven business days, but that clock only starts once your employer submits. Confirm your employer has initiated the LCA filing before you give notice at your current job or book flights, since your E-3 can't be issued without it.
Use Migrate Mate's E-3 filing service for end-to-end preparation
LLM Engineer roles involve nuanced specialty occupation documentation that can trip up employers filing E-3s for the first time. Migrate Mate's E-3 filing service handles the LCA, visa paperwork, and consulate preparation so nothing is missed before your interview.
E-3 Visa Llm Engineer: Frequently Asked Questions
How do I find LLM Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for E-3-eligible roles in the U.S. Rather than filtering through general listings manually, you can search verified LLM Engineer positions where employers are already open to E-3 sponsorship. This removes the guesswork of cold-applying and hoping a company will engage.
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 an LLM Engineer role qualify as a specialty occupation for the E-3?
Yes, provided the position genuinely requires a bachelor's degree or higher in computer science, artificial intelligence, machine learning, or a directly related technical field. The key is that the degree must be a prerequisite for the role itself, not just preferred. Roles where any technical degree would suffice can face scrutiny at the consulate, so the job description and offer letter wording matter.
How does the E-3 compare to the H-1B for LLM Engineer roles?
The E-3 has no lottery and no annual cap backlog for Australians, so you can apply any time of year and start work as soon as your visa is issued. H-1B registration closes in March and selection is randomized, meaning qualified LLM Engineers can wait years before securing status. The E-3 is renewable indefinitely in two-year increments as long as you hold a qualifying offer.
Can I change employers or projects while on an E-3 as an LLM Engineer?
You can change employers, but your new employer must file a fresh LCA and you'll need a new E-3 visa tied to that role. There's no portability provision like H-1B's AC21, so you're tied to the specific employer on your current visa. If you're contracting or moving between teams at different legal entities, each change triggers a new filing process.