STEM OPT Software Engineer AI Jobs
Software Engineer AI roles in machine learning, NLP, and generative AI systems qualify for STEM OPT's 24-month extension when your degree is in computer science, data science, or a related CIP-coded field. Your employer must be enrolled in E-Verify, and you'll need a signed I-983 training plan before your first day.
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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 drive digital transformation, creating a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will develop and implement cutting-edge machine learning techniques that enable the efficient utilization of state-of-the-art solutions across various technology verticals.
In this position you will be responsible for the software design and development of quantization tooling within the AISW Tools team. Our inference engine empowers developers to deploy neural network models on Snapdragon platforms at exceptional speeds while maintaining minimal power consumption. You will participate in the agentic transformation of Qualcomm’s development and tooling workflow. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills.
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
Minimum Qualifications:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
* PhD in Computer Science, Engineering, Information Systems, or related field.
Responsibilities
Collaborate with cross-functional teams in the AI Software team at Qualcomm to gain knowledge of the capabilities of QAIRT SDK and use it to optimize inference of AI models on Qualcomm AI accelerator IP.
Validate and optimize the performance and accuracy of quantized models through detailed analysis and testing of machine learning use cases.
Debug complex issues, perform root cause analysis, and ensure high system reliability.
Contribute to the team's adoption of agentic AI workflows — leveraging tools such as Claude Code, or similar frameworks — to automate quantization experimentation, hyperparameter search, and model evaluation pipelines.
Participate in design and code reviews.
Work independently and lead junior team members. Your decision-making will impact your direct area of work and the work group.
Minimum Qualifications
Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field
4+ years software development experience using Python and/or C/C++
Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
Strong communication skills (verbal, presentation, written)
Solid understanding of Machine Learning and Deep Learning theory
Experience working with one of the Deep Learning frameworks like PyTorch, Tensorflow, ONNX, JAX
Preferred Qualifications
2+ years Python programming experience
Experience / exposure to Quantization techniques – PTQ, QAT, AWQ, SpinQuant, etc.
Familiarity with different NN architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
Experience with AIMET, TorchAO or other quantization-focused libraries in the PyTorch ecosystem
Familiarity with GenAI model architectures and challenges working with them – LLM, LVM, LMM
Experience with optimizing software, specifically AI graph workloads, for embedded platforms
Familiarity with agentic AI frameworks (e.g. Claude Code) and experience applying them to automate experimentation or evaluation workflows
Ability to collaborate across a globally diverse team and multiple interests
Education Requirements
Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
Preferred: Master's in Computer Science or Computer Engineering
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:
$126,700.00 - $190,100.00
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 Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will develop and implement cutting-edge machine learning techniques that enable the efficient utilization of state-of-the-art solutions across various technology verticals.
In this position you will be responsible for the software design and development of quantization tooling within the AISW Tools team. Our inference engine empowers developers to deploy neural network models on Snapdragon platforms at exceptional speeds while maintaining minimal power consumption. You will participate in the agentic transformation of Qualcomm’s development and tooling workflow. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills.
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
Minimum Qualifications:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
* PhD in Computer Science, Engineering, Information Systems, or related field.
Responsibilities
Collaborate with cross-functional teams in the AI Software team at Qualcomm to gain knowledge of the capabilities of QAIRT SDK and use it to optimize inference of AI models on Qualcomm AI accelerator IP.
Validate and optimize the performance and accuracy of quantized models through detailed analysis and testing of machine learning use cases.
Debug complex issues, perform root cause analysis, and ensure high system reliability.
Contribute to the team's adoption of agentic AI workflows — leveraging tools such as Claude Code, or similar frameworks — to automate quantization experimentation, hyperparameter search, and model evaluation pipelines.
Participate in design and code reviews.
Work independently and lead junior team members. Your decision-making will impact your direct area of work and the work group.
Minimum Qualifications
Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field
4+ years software development experience using Python and/or C/C++
Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
Strong communication skills (verbal, presentation, written)
Solid understanding of Machine Learning and Deep Learning theory
Experience working with one of the Deep Learning frameworks like PyTorch, Tensorflow, ONNX, JAX
Preferred Qualifications
2+ years Python programming experience
Experience / exposure to Quantization techniques – PTQ, QAT, AWQ, SpinQuant, etc.
Familiarity with different NN architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
Experience with AIMET, TorchAO or other quantization-focused libraries in the PyTorch ecosystem
Familiarity with GenAI model architectures and challenges working with them – LLM, LVM, LMM
Experience with optimizing software, specifically AI graph workloads, for embedded platforms
Familiarity with agentic AI frameworks (e.g. Claude Code) and experience applying them to automate experimentation or evaluation workflows
Ability to collaborate across a globally diverse team and multiple interests
Education Requirements
Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
Preferred: Master's in Computer Science or Computer Engineering
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:
$126,700.00 - $190,100.00
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 1,126+ Software Engineer AI jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Engineer AI roles.
Get Access To All JobsTips for Finding STEM OPT Authorization in Software Engineer AI
Verify your degree CIP code before applying
Not every STEM degree automatically qualifies for the 24-month extension. Confirm your program's Classification of Instructional Programs code appears on the STEM OPT designated degree program list, then ask your DSO to update your I-20 before your initial OPT expires.
Check E-Verify enrollment before accepting offers
An employer who isn't enrolled in E-Verify can't legally employ you on STEM OPT, no matter how strong the offer looks. Search the E-Verify employer search tool by company name to confirm enrollment before you invest time in their interview process.
Build a portfolio around production AI systems
Hiring managers for AI engineering roles screen for deployed work, not just model experiments. Open-source contributions to inference pipelines, fine-tuning workflows, or retrieval-augmented generation systems signal you can ship, which accelerates the offer stage and simplifies the I-983 training plan scope.
Use Migrate Mate to target STEM OPT-ready employers
Not every company posting AI roles has the E-Verify infrastructure to hire you. Migrate Mate filters job listings by employers verified to support STEM OPT, so you spend your application time on roles that can actually proceed to an offer.
Get your I-983 training plan finalized before day one
USCIS requires both you and your employer to sign the I-983 before your STEM OPT employment begins. Work with your hiring manager to define specific learning objectives tied to AI engineering tasks, not just a job description copy-paste, which is the most common reason DSOs push back on the form.
Research prevailing wages using OFLC Wage Search before negotiating
STEM OPT employers must pay the prevailing wage for your role and location. Pull the wage level for your SOC code using OFLC Wage Search so you negotiate from the correct baseline and catch any offer that falls below the DOL threshold before you sign.
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Find Software Engineer AI JobsFrequently Asked Questions
Do Software Engineer AI jobs qualify for the STEM OPT extension?
Yes, if your underlying degree is in a STEM field with a qualifying CIP code, such as computer science, electrical engineering, data science, or applied mathematics. The job itself doesn't determine eligibility; your degree program does. Confirm your CIP code appears on the official STEM designated degree list and have your DSO update your I-20 before your initial OPT period ends.
What E-Verify requirement applies to STEM OPT employers hiring AI engineers?
Any employer hiring you on STEM OPT must be enrolled in E-Verify, not just registered but actively using the system. This is a federal requirement with no exceptions, regardless of company size or funding stage. You can verify a company's enrollment status through the E-Verify employer search tool before accepting an offer. Migrate Mate surfaces only E-Verify-enrolled employers in its STEM OPT job listings.
What goes into an I-983 training plan for a Software Engineer AI role?
The I-983 must describe specific learning objectives directly tied to your STEM degree and the AI engineering work you'll perform, covering areas like model development, data pipeline engineering, or deployment infrastructure. Generic job descriptions don't satisfy USCIS requirements. Your supervisor signs the plan, and your DSO reviews it before your STEM OPT start date. You and your employer also submit a six-month evaluation mid-extension.
How does cap-gap protection affect STEM OPT students who receive an H-1B selection?
If your STEM OPT expires before October 1 of the fiscal year your H-1B petition takes effect, cap-gap automatically extends your OPT EAD and work authorization through September 30. This applies only if your employer filed the H-1B petition before your OPT ended. USCIS issues a cap-gap notice on your I-20, which serves as your employment authorization document during that bridge period.
How do I find Software Engineer AI jobs where the employer can actually hire me on STEM OPT?
Many AI engineering roles are posted by companies that haven't enrolled in E-Verify or haven't hired STEM OPT students before, which creates delays or failed offers late in the process. Migrate Mate filters Software Engineer AI listings by employers who are E-Verify enrolled and have a track record of supporting STEM OPT students, so you can focus your search on roles that can proceed without structural barriers.
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