Qualcomm
Posted 178 days agoVerified live 1d ago
Machine Learning Engineer - College Graduate
Brief overview
San Diego, CAIn-person
UndergradOr in progress
$123k–$184k/yrStated range
4,325 H-1B approvalsDept. of Labor
390 green cardsCertified filings
Pythonobject-oriented software designdeep learningmachine learning frameworksPyTorchsoftware designanalytical skillsdebuggingproblem-solvingGenerative AI (GenAI)neural network model optimizationon-target deploymentNPUsML acceleratorsAndroid programmingoptimization of algebraic operationsC/C++
About the company
Qualcommqualcomm.com
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.
Visa sponsorship history
4 years sponsoring, last filed FY2026H-1B dependent
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.4,325H-1B approved
98%approval rate
1,130new H-1B hires
390PERM certified
$152,479median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20231,438
20241,291
20251,343
2026253
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
2023328
2024304
2025284
2026378
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
2023245
202488
202527
202630
Top sponsored roles
Senior Software EngineerSenior ASICS EngineerSenior Staff CPU EngineerStaff GPU EngineerSenior Staff ASICS Engineer
Sponsored employees from
IndiaChinaTaiwanSouth KoreaCanada
Job description
Summary
Qualcomm Technologies, Inc. is a leading mobile computing platform provider committed to enabling the deployment of intelligent solutions across various devices. In this role, you will work in a dynamic research environment as part of a multi-disciplinary team, focusing on developing and deploying on-device prototype software for AI use cases.
Responsibilities
- Architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases
Skills
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
- Strong Python and object-oriented SW design and implementation skills
- Knowledge of deep learning and ML frameworks (i.e. PyTorch)
- Strong software design skills with a focus on usability
- Strong analytical, debugging and problem-solving skills
- Knowledge of Generative AI (GenAI) technologies
- Knowledge of neural network model optimization and on-target deployment is a plus
- Knowledge of NPUs / ML accelerators
- Knowledge of Android programming is plus
- Optimization of algebraic operations in algorithms for HW cores is a plus
- Knowledge of C/C++ and embedded software
Qualifications
Must Haves
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
- Strong Python and object-oriented SW design and implementation skills
- Knowledge of deep learning and ML frameworks (i.e. PyTorch)
- Strong software design skills with a focus on usability
- Strong analytical, debugging and problem-solving skills
Nice to Haves
- Knowledge of Generative AI (GenAI) technologies
- Knowledge of neural network model optimization and on-target deployment is a plus
- Knowledge of NPUs / ML accelerators
- Knowledge of Android programming is plus
- Optimization of algebraic operations in algorithms for HW cores is a plus
- Knowledge of C/C++ and embedded software
Benefits
- Competitive annual discretionary bonus program
- Opportunity for annual RSU grants
- Highly competitive benefits package
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