Cloud Engineer Jobs at Qualcomm with Visa Sponsorship
Qualcomm hires Cloud Engineers across infrastructure, platform, and chip-to-cloud integration work, and the company has a well-established process for sponsoring international talent in this function. If you need H-1B, OPT, or other work authorization, Qualcomm actively supports candidates through the filing process.
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Get Access To All JobsCompany Qualcomm Technologies, Inc.
Job Area Engineering Group, Engineering Group > Machine Learning Engineering
General Summary
LLM Serving Engineer (Cloud AI Engineering)
Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration. We are hiring LLM Serving Engineers at multiple levels to join our dynamic, collaborative team. This role spans the full product lifecycle—from cutting-edge research and development to commercial deployment—and demands strategic thinking, strong execution, and excellent communication skills.
This Role Involves The Following Activities
- Building a scalable LLM inference platform using inference techniques (e.g. disaggregated serving and KV-Cache management, advanced parallelism, speculative algorithms, model optimization, specialized kernels).
- Contribute to the development of LLM Serving packages (e.g. vLLM, SGLang, TGI, Triton-Inference server, Dynamo, LLM-d).
- Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.
- Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
- Drive efficient serving through smart autoscaling, load balancing and routing.
- Engage with open-source serving communities to evolve the framework.
Candidates For This Position Will Demonstrate The Following
- Hands-on experience in one or more of the following LLM serving/Orchestration packages (Triton-Inference Server, vLLM, SGLang, Ollama, llm-d, KServe, LMCache, MoonCake)
- Deep understanding of foundational LLMs, VLMs, SLMs, transformer-based architectures.
- Strong experience in developing language models using PyTorch.
- Strong computer science fundamentals - algorithms, data structures, parallel and distributed programming.
- Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems.
- Strong Python development skills for large-scale projects with passion for software engineering.
- Experience in analyzing, profiling, and optimizing deep learning workloads.
- Proactive learning about the latest inference optimization techniques.
- Excellent communication and problem-solving skills, with the ability to thrive in a fast-paced and collaborative environment.
- MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.
Bonus Skills
- Open-source contribution to any GenAI package.
- Experience architecting and developing large-scale distributed systems.
- High-level kernel design experience (PyTorch, CUDA, Triton).
- Knowledge of torch.compile or torchDynamo
- PhD in Computer Science, Computer Engineering or Machine Learning
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.
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
$158,400.00 - $237,600.00
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
LLM Serving Engineer (Cloud AI Engineering)
Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration. We are hiring LLM Serving Engineers at multiple levels to join our dynamic, collaborative team. This role spans the full product lifecycle—from cutting-edge research and development to commercial deployment—and demands strategic thinking, strong execution, and excellent communication skills.
This Role Involves The Following Activities
- Building a scalable LLM inference platform using inference techniques (e.g. disaggregated serving and KV-Cache management, advanced parallelism, speculative algorithms, model optimization, specialized kernels).
- Contribute to the development of LLM Serving packages (e.g. vLLM, SGLang, TGI, Triton-Inference server, Dynamo, LLM-d).
- Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.
- Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
- Drive efficient serving through smart autoscaling, load balancing and routing.
- Engage with open-source serving communities to evolve the framework.
Candidates For This Position Will Demonstrate The Following
- Hands-on experience in one or more of the following LLM serving/Orchestration packages (Triton-Inference Server, vLLM, SGLang, Ollama, llm-d, KServe, LMCache, MoonCake)
- Deep understanding of foundational LLMs, VLMs, SLMs, transformer-based architectures.
- Strong experience in developing language models using PyTorch.
- Strong computer science fundamentals - algorithms, data structures, parallel and distributed programming.
- Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems.
- Strong Python development skills for large-scale projects with passion for software engineering.
- Experience in analyzing, profiling, and optimizing deep learning workloads.
- Proactive learning about the latest inference optimization techniques.
- Excellent communication and problem-solving skills, with the ability to thrive in a fast-paced and collaborative environment.
- MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.
Bonus Skills
- Open-source contribution to any GenAI package.
- Experience architecting and developing large-scale distributed systems.
- High-level kernel design experience (PyTorch, CUDA, Triton).
- Knowledge of torch.compile or torchDynamo
- PhD in Computer Science, Computer Engineering or Machine Learning
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.
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
$158,400.00 - $237,600.00
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 Cloud Engineer Jobs at Qualcomm Jobs
Align your credentials to Qualcomm's cloud stack
Qualcomm's cloud engineering roles often sit at the intersection of semiconductor platforms and hyperscale infrastructure. Certifications in AWS, Azure, or GCP, combined with experience in containerization or distributed systems, signal direct fit to their hiring teams.
Target roles that match your current visa status
Qualcomm sponsors multiple visa categories, so check whether a role is open to F-1 OPT or CPT before applying. Some cloud infrastructure positions are filled faster through OPT than through H-1B cap seasons, which can affect your timeline significantly.
Clarify LCA coverage before accepting an offer
Your offer letter should specify the work location and corresponding prevailing wage tier. Qualcomm engineers sometimes work across sites, so confirm your Labor Condition Application filed with DOL reflects where you'll actually be based.
Prepare for technical depth in cloud-specific interviews
Qualcomm's cloud teams frequently probe system design at scale, including networking, storage architecture, and CI/CD pipelines tied to silicon or media workloads. Preparing for these specifics distinguishes you from candidates with generic cloud backgrounds.
Use Migrate Mate to surface open Cloud Engineer roles at Qualcomm
Filter by visa type and role on Migrate Mate to find Cloud Engineer positions at Qualcomm that are actively open to sponsored candidates. This saves time compared to manually parsing job boards that don't surface sponsorship eligibility.
Understand H-1B cap timing relative to your start date
If you need a cap-subject H-1B, USCIS only accepts petitions in April for an October 1 start. If your OPT expires before October, ask Qualcomm's immigration team about cap-gap coverage or whether a cap-exempt filing path applies to your situation.
Cloud Engineer at Qualcomm jobs are hiring across the US. Find yours.
Find Cloud Engineer at Qualcomm JobsFrequently Asked Questions
Does Qualcomm sponsor H-1B visas for Cloud Engineers?
Yes, Qualcomm sponsors H-1B visas for Cloud Engineers and has a consistent record of doing so across this function. The company works with immigration counsel to manage petitions, Labor Condition Applications through DOL, and USCIS filings. If you're currently on OPT or another nonimmigrant status, it's worth confirming the specific role's sponsorship eligibility during the interview process.
How do I apply for Cloud Engineer jobs at Qualcomm?
Apply directly through Qualcomm's careers portal, where Cloud Engineer roles are listed by team and location. You can also browse open positions at Qualcomm filtered by visa sponsorship eligibility on Migrate Mate, which surfaces roles suited to candidates who need work authorization. Tailor your resume to reflect cloud infrastructure experience relevant to semiconductor or platform engineering contexts.
Which visa types does Qualcomm commonly use for Cloud Engineer roles?
Qualcomm sponsors several visa categories for Cloud Engineers, including H-1B, H-1B1 for Chilean and Singaporean nationals, TN for Canadian and Mexican professionals, F-1 OPT and CPT for students, and J-1 for eligible trainees. For permanent residence, Qualcomm pursues employment-based Green Card pathways including EB-2 and EB-3 through the PERM labor certification process with DOL.
What qualifications does Qualcomm expect for Cloud Engineer roles?
Qualcomm's Cloud Engineer positions generally require a bachelor's or master's degree in Computer Science, Electrical Engineering, or a closely related field. Hands-on experience with cloud platforms such as AWS, Azure, or GCP is expected, along with proficiency in infrastructure-as-code, Kubernetes, or distributed systems. Roles tied to Qualcomm's chip or media technology platforms may also require familiarity with embedded or real-time systems.
How do I understand the H-1B petition timeline if I'm currently on OPT?
If you're on F-1 OPT when Qualcomm extends a full-time offer, USCIS's cap-gap rule automatically extends your work authorization if your OPT expires between April 1 and September 30 and your H-1B petition was filed before your OPT end date. STEM OPT extension gives up to 24 additional months, which can bridge multiple cap seasons. Confirm with Qualcomm's immigration team which filing window applies to your start date.
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