ML Software Engineer Jobs at Qualcomm with Visa Sponsorship
Qualcomm's ML Software Engineer roles sit at the intersection of advanced neural network research and production-grade semiconductor deployment. The company has an established track record of sponsoring international talent across multiple visa categories, making it a realistic target for skilled engineers who need work authorization.
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Get Access To All JobsCompany Qualcomm Technologies, Inc.
Job Area Engineering Group, Engineering Group > Machine Learning Researcher
General Summary
About the Team: Qualcomm’s Applied ML R&D for HW Design team develops ML/AI or algorithmic based design tools which improve the overall chip design process and quality through NRE and/or AuC reduction or performance improvement. We are an interdisciplinary team with backgrounds in Computer Science, ML/AI, Electrical Engineering, Computer Engineering, Physics, Neuroscience, Economics, and VLSI Design, united by our passion to solve challenging problems. We work cross-functionally over the entire chip design process and are motivated by the chance to pursue technical innovations which provide real value to the Qualcomm product line. The ultimate goal for our research is to be productized and packaged into a design tool used in the Qualcomm chip design execution process.
About the Role: We are seeking a versatile Software Engineer who is passionate about seeing their work realized in end-to-end products used to design Qualcomm chips. The ideal candidate will be responsible for developing and integrating machine learning models, software components, and deployment infrastructure. This role involves creating robust training and inference pipelines, ensuring seamless integration into design processes, and maintaining enablement tooling and infrastructure for efficient machine learning operations.
Key Responsibilities
- Develop and optimize training and inference pipelines for machine learning models.
- Translate prototype and research code into scalable, production-grade models.
- Integrate various software components into a cohesive, production-quality end-to-end flow.
- Ensure the integrated flow fits seamlessly into new or existing design processes.
- Implement and maintain monitoring systems to ensure model performance and reliability.
- Develop and maintain deployment and development enablement tooling and infrastructure.
- Manage compute resources, disk storage, and environments/containers.
- Implement and oversee release and regression processes.
- Design, build, and maintain CI/CD pipelines to streamline development and deployment.
- Perform regression tests on a fixed test suite to verify integration correctness.
- Collaborate with cross-functional teams to ensure smooth integration and functionality.
- Troubleshoot and resolve integration and deployment issues promptly.
- Create comprehensive component usage instructions and documentation.
- Continuously improve integration and deployment processes and methodologies.
Required Skills And Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience in machine learning, software engineering, MLOps, or a related role.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of software development principles and best practices.
- Experience with containerization technologies (e.g., Docker, Kubernetes).
- Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI).
- Experience with regression testing and test suite management.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and ability to work collaboratively in a team environment.
Preferred Qualifications
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
- Knowledge of infrastructure as code (IaC) tools (e.g., Terraform, Ansible).
- Familiarity with monitoring, logging and visualization tools (e.g., Prometheus, Grafana).
- Knowledge of data engineering and data pipeline development.
- Familiarity with DevOps practices and tools.
Minimum Qualifications
- Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- 6+ months of experience developing and/or optimizing machine learning models, systems, platforms, or methods.
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
$192,700.00 - $289,100.00
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 Researcher
General Summary
About the Team: Qualcomm’s Applied ML R&D for HW Design team develops ML/AI or algorithmic based design tools which improve the overall chip design process and quality through NRE and/or AuC reduction or performance improvement. We are an interdisciplinary team with backgrounds in Computer Science, ML/AI, Electrical Engineering, Computer Engineering, Physics, Neuroscience, Economics, and VLSI Design, united by our passion to solve challenging problems. We work cross-functionally over the entire chip design process and are motivated by the chance to pursue technical innovations which provide real value to the Qualcomm product line. The ultimate goal for our research is to be productized and packaged into a design tool used in the Qualcomm chip design execution process.
About the Role: We are seeking a versatile Software Engineer who is passionate about seeing their work realized in end-to-end products used to design Qualcomm chips. The ideal candidate will be responsible for developing and integrating machine learning models, software components, and deployment infrastructure. This role involves creating robust training and inference pipelines, ensuring seamless integration into design processes, and maintaining enablement tooling and infrastructure for efficient machine learning operations.
Key Responsibilities
- Develop and optimize training and inference pipelines for machine learning models.
- Translate prototype and research code into scalable, production-grade models.
- Integrate various software components into a cohesive, production-quality end-to-end flow.
- Ensure the integrated flow fits seamlessly into new or existing design processes.
- Implement and maintain monitoring systems to ensure model performance and reliability.
- Develop and maintain deployment and development enablement tooling and infrastructure.
- Manage compute resources, disk storage, and environments/containers.
- Implement and oversee release and regression processes.
- Design, build, and maintain CI/CD pipelines to streamline development and deployment.
- Perform regression tests on a fixed test suite to verify integration correctness.
- Collaborate with cross-functional teams to ensure smooth integration and functionality.
- Troubleshoot and resolve integration and deployment issues promptly.
- Create comprehensive component usage instructions and documentation.
- Continuously improve integration and deployment processes and methodologies.
Required Skills And Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience in machine learning, software engineering, MLOps, or a related role.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of software development principles and best practices.
- Experience with containerization technologies (e.g., Docker, Kubernetes).
- Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI).
- Experience with regression testing and test suite management.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and ability to work collaboratively in a team environment.
Preferred Qualifications
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
- Knowledge of infrastructure as code (IaC) tools (e.g., Terraform, Ansible).
- Familiarity with monitoring, logging and visualization tools (e.g., Prometheus, Grafana).
- Knowledge of data engineering and data pipeline development.
- Familiarity with DevOps practices and tools.
Minimum Qualifications
- Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- 6+ months of experience developing and/or optimizing machine learning models, systems, platforms, or methods.
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
$192,700.00 - $289,100.00
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 49+ ML Software Engineer at Qualcomm jobs
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Get Access To All JobsTips for Finding ML Software Engineer Jobs at Qualcomm Jobs
Align your portfolio to on-device inference
Qualcomm's ML work centers on deploying models to edge hardware through platforms like the AI Engine and Hexagon DSP. Highlight projects involving model quantization, pruning, or ONNX/TFLite optimization rather than cloud-scale training work.
Target roles that map to specialty occupation criteria
USCIS approves H-1B petitions when the role demonstrably requires a specific degree. Frame your ML Software Engineer application around computer science, electrical engineering, or AI specializations rather than general software experience to strengthen the specialty occupation argument.
Find open ML roles at Qualcomm through Migrate Mate
Qualcomm posts ML Software Engineer openings across multiple business units including compute, wireless, and automotive. Use Migrate Mate to filter specifically for Qualcomm roles that list visa sponsorship so you apply where authorization is confirmed.
Initiate the LCA conversation before accepting an offer
Your employer must file a certified Labor Condition Application with DOL before USCIS can adjudicate your H-1B petition. Asking your recruiter about LCA timelines before signing signals preparedness and avoids surprises that delay your start date.
Prepare your transcripts and credential evaluations early
Qualcomm hires ML Software Engineers with degrees from international universities, but non-U.S. credentials need equivalency documentation before USCIS will accept them. A credential evaluation from a NACES-member evaluator is the standard evidence and can take several weeks to obtain.
ML Software Engineer at Qualcomm jobs are hiring across the US. Find yours.
Find ML Software Engineer at Qualcomm JobsFrequently Asked Questions
Does Qualcomm sponsor H-1B visas for ML Software Engineers?
Yes, Qualcomm sponsors H-1B visas for ML Software Engineers and has done so consistently across its semiconductor, wireless, and automotive business units. The company also sponsors H-1B1 visas for Chilean and Singaporean nationals. Sponsorship is typically confirmed during the offer stage, and Qualcomm's recruiting team is experienced with the process given how frequently they hire international talent for technical roles.
How do I apply for ML Software Engineer jobs at Qualcomm?
Apply directly through Qualcomm's careers portal, where ML Software Engineer roles are listed by product area and location. Before applying, use Migrate Mate to identify which open Qualcomm roles explicitly offer visa sponsorship so you target the right positions. Tailor your resume to highlight edge ML, model optimization, or hardware-aware inference work, as those skills align with what Qualcomm's ML teams prioritize in candidates.
Which visa types does Qualcomm commonly use for ML Software Engineers?
Qualcomm sponsors H-1B and H-1B1 visas for the majority of its international ML Software Engineers. F-1 OPT and CPT are used for students and recent graduates, including those on STEM OPT extensions. TN visas are an option for Canadian and Mexican nationals. For longer-term permanent residence, Qualcomm supports EB-2 and EB-3 Green Card pathways through the PERM labor certification process.
What qualifications does Qualcomm expect for ML Software Engineer roles?
Qualcomm typically requires a bachelor's degree in computer science, electrical engineering, or a closely related field, with a master's or PhD preferred for research-adjacent positions. Practical experience with on-device or embedded ML frameworks, such as TensorFlow Lite, PyTorch Mobile, or Qualcomm's own AI SDK, carries significant weight. Proficiency in C++ alongside Python is commonly expected given the hardware proximity of the work.
How do I time the H-1B process if I receive a Qualcomm offer?
USCIS opens H-1B registration each March for the lottery, with an October 1 start date for selected petitions. If you receive a Qualcomm offer outside that window, you'll likely start on F-1 OPT, TN, or another bridging status while your employer prepares the petition. Qualcomm's in-house immigration team coordinates DOL LCA certification and USCIS filing, but confirming your current status expiration dates with them early prevents gaps in work authorization.
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