AI Engineer Jobs at Qualcomm with Visa Sponsorship
Qualcomm hires AI Engineers across chip-level inference, on-device machine learning, and media processing pipelines. The company has an established sponsorship process for this function and actively files across multiple visa categories, making it a viable target for international candidates pursuing long-term U.S. work authorization.
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Get Access To All JobsCompany Qualcomm Technologies, Inc.
Job Area Engineering Group, Engineering Group > Machine Learning Engineering
General Summary
About the Role
Qualcomm Robotics is shaping the future of intelligent machines. We are looking for a Robotics AI Engineer to help build next generation Vision Language Action (VLA) models. AI systems that enable robots to understand the world, follow natural language instructions, and perform complex tasks. This role combines cutting edge research with practical deployment on Qualcomm’s advanced robotics platforms.
What You’ll Do
- Research the latest trends in robotics AI and multimodal learning to inform Qualcomm’s VLA roadmap.
- Design and develop models that connect vision, language, and action for real world robotic applications.
- Build and maintain training pipelines, datasets, and evaluation benchmarks for embodied AI.
- Optimize and deploy models on Qualcomm’s robotics platforms for realtime, ondevice performance.
- Collaborate with crossfunctional teams to integrate AI capabilities into Qualcomm’s Robotics SDK and partner solutions.
- Contribute to internal knowledge sharing and, where appropriate, publish findings in top AI and robotics venues.
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ 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 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications
- Master’s degree in Computer Science, Robotics, Electrical Engineering, or related field (PhD preferred).
- Strong experience in deep learning (transformers, multimodal models) and robotics AI.
- Proficiency in Python and frameworks like PyTorch or TensorFlow.
- Familiarity with robotics systems, simulation environments, and ROS 2.
- Experience with model optimization and deployment on edge or embedded platforms.
- Background in vision-language models, policy learning, or robotic foundation models.
- Experience with dataset curation, teleoperation data, or simulation-to-real transfer.
- Knowledge of model compression techniques (quantization, distillation) for efficient deployment.
- Strong communication skills and ability to work in a collaborative, fast-paced environment.
Why Join Us?
- Work on cutting-edge robotics AI that bridges research and real-world impact.
- Collaborate with world-class teams building the next generation of intelligent robots.
- Access to advanced hardware, simulation tools, and Qualcomm’s AI acceleration technologies.
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
$221,600.00 - $332,400.00
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
About the Role
Qualcomm Robotics is shaping the future of intelligent machines. We are looking for a Robotics AI Engineer to help build next generation Vision Language Action (VLA) models. AI systems that enable robots to understand the world, follow natural language instructions, and perform complex tasks. This role combines cutting edge research with practical deployment on Qualcomm’s advanced robotics platforms.
What You’ll Do
- Research the latest trends in robotics AI and multimodal learning to inform Qualcomm’s VLA roadmap.
- Design and develop models that connect vision, language, and action for real world robotic applications.
- Build and maintain training pipelines, datasets, and evaluation benchmarks for embodied AI.
- Optimize and deploy models on Qualcomm’s robotics platforms for realtime, ondevice performance.
- Collaborate with crossfunctional teams to integrate AI capabilities into Qualcomm’s Robotics SDK and partner solutions.
- Contribute to internal knowledge sharing and, where appropriate, publish findings in top AI and robotics venues.
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ 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 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications
- Master’s degree in Computer Science, Robotics, Electrical Engineering, or related field (PhD preferred).
- Strong experience in deep learning (transformers, multimodal models) and robotics AI.
- Proficiency in Python and frameworks like PyTorch or TensorFlow.
- Familiarity with robotics systems, simulation environments, and ROS 2.
- Experience with model optimization and deployment on edge or embedded platforms.
- Background in vision-language models, policy learning, or robotic foundation models.
- Experience with dataset curation, teleoperation data, or simulation-to-real transfer.
- Knowledge of model compression techniques (quantization, distillation) for efficient deployment.
- Strong communication skills and ability to work in a collaborative, fast-paced environment.
Why Join Us?
- Work on cutting-edge robotics AI that bridges research and real-world impact.
- Collaborate with world-class teams building the next generation of intelligent robots.
- Access to advanced hardware, simulation tools, and Qualcomm’s AI acceleration technologies.
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
$221,600.00 - $332,400.00
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.
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Get Access To All JobsTips for Finding AI Engineer Jobs at Qualcomm Jobs
Frame your portfolio around on-device AI
Qualcomm's AI hiring centers on edge inference and neural processing units, not cloud-scale model training. Showcase projects involving model quantization, INT8 deployment, or TensorFlow Lite to signal direct relevance before your resume even reaches a recruiter.
Target Qualcomm's media and entertainment AI teams
Roles focused on video codec optimization, real-time rendering AI, and spatial audio processing sit at the intersection of Qualcomm's chip business and media industry demand. Positioning yourself here narrows competition and aligns with active headcount growth in this vertical.
Align your start date with H-1B cap timelines
USCIS opens H-1B registration in March each year with an October 1 start date if selected. When negotiating your Qualcomm offer, confirm whether premium processing is on the table to reduce the I-129 adjudication window from several months to around 15 business days.
Use Migrate Mate to find open AI Engineer roles at Qualcomm
Qualcomm's AI Engineer postings are spread across multiple teams and requisition systems. Migrate Mate filters open roles by visa type and employer, so you can identify which Qualcomm positions are currently active for sponsored candidates without manually tracking their careers page.
AI Engineer at Qualcomm jobs are hiring across the US. Find yours.
Find AI Engineer at Qualcomm JobsFrequently Asked Questions
Does Qualcomm sponsor H-1B visas for AI Engineers?
Yes, Qualcomm sponsors H-1B visas for AI Engineers and has a well-established sponsorship process for this role category. The company files across both cap-subject H-1B and cap-exempt pathways depending on your situation, and also supports Green Card sponsorship through EB-2 and EB-3 classifications for longer-tenured employees moving toward permanent residence.
How do I apply for AI Engineer jobs at Qualcomm?
Applications go through Qualcomm's official careers portal, where AI Engineer roles are listed under engineering and research categories. Use Migrate Mate to browse currently open, visa-sponsorship-eligible AI Engineer positions at Qualcomm filtered by visa type, which saves time compared to manually tracking individual postings across Qualcomm's various business units and lab locations.
Which visa types does Qualcomm commonly use for AI Engineer roles?
Qualcomm sponsors H-1B, H-1B1, TN, F-1 OPT, F-1 CPT, and J-1 visas for AI Engineers, along with immigrant visa pathways through EB-2 and EB-3 PERM labor certification. F-1 OPT holders in AI Engineering typically qualify for the 24-month STEM OPT extension, giving additional runway before an H-1B petition needs to be filed.
What qualifications does Qualcomm expect for AI Engineer roles?
Most Qualcomm AI Engineer postings require a bachelor's degree at minimum in computer science, electrical engineering, or a closely related field, with a master's or Ph.D. preferred for research-oriented positions. Practical experience with on-device machine learning frameworks, neural network optimization, and hardware-aware model deployment carries significant weight, particularly for roles tied to Qualcomm's Snapdragon and Hexagon processor lines.
How do I time the sponsorship process if I'm starting as an F-1 OPT student?
If you begin at Qualcomm on F-1 OPT, your employer needs to file your STEM OPT extension with USCIS at least 90 days before your initial OPT expires. Qualcomm would then file your H-1B registration in March for the following October start. Coordinating these two deadlines carefully, ideally within your first few months on the job, prevents gaps in work authorization.
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