Qualcomm
Company:
Qualcomm Technologies, Inc.
If you think you are the right match for the following opportunity, apply after reading the complete description. Job Area:
Engineering Group, Engineering Group → Machine Learning Engineering
Overview Join the Qualcomm AI Hub team and help developers integrate machine learning into their products and experiences. The role targets a Staff Software Engineer with expertise in the Android platform and on-device AI frameworks. Responsibilities include developing and supporting on-device machine learning applications for mobile and edge hardware, integrating on-device AI frameworks (Qualcomm AI stack, TFLite/LiteRT, ONNX runtime), efficient data processing in GPU shaders, sensor data handling, and delivering a compelling user experience. Profiling across CPU/GPU/NPU to identify performance bottlenecks and minimize memory copies. Interaction with customers/design partners and providing engineering roadmap input. Beyond Android, target platforms include Windows and Linux.
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.
Preferred Qualifications:
3+ years of industry experience using data structures and algorithms to ship projects at scale
3+ years of experience with development in modern C++, Java, or Kotlin
Solid understanding of Operating System Concepts and Concurrency
Strong proficiency in using git for software development
Strong written and verbal communication skills
3+ years of experience working with embedded Android including Android SDK, NDK, and the Android ecosystem (Maven, Google Play Store)
Prior experience with on-device AI runtimes like LiteRT/TFLite, ONNX, and Qualcomm AI stack is a plus
Experience in Windows development is also a bonus
Profiling and identifying inefficiencies across mixed CPU/GPU/NPU load
Familiarity with Python for AI/ML related software development
Familiarity with ARM processors, ARM Assembly, Mobile SoC architecture — subsystems, hypervisor/virtualization, security, memory, storage, buses, peripherals, power, thermals
Debugging skills, working experience in software bring-up and analyzing crash dumps
Level of Responsibility:
Works independently with minimal supervision.
Provides supervision/guidance to other team members.
Decision-making is significant in nature and affects work beyond the immediate work group.
Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may contact disability-accommodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
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.
Pay range and Other Compensation & Benefits:
$160,500.00 - $240,700.00
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. Salary is only one component of total compensation at Qualcomm, which also includes a competitive annual discretionary bonus program and potential RSU grants. A comprehensive benefits package is offered to support success at work, at home, and at play. Your recruiter can discuss details about Qualcomm benefits.
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Qualcomm Technologies, Inc.
If you think you are the right match for the following opportunity, apply after reading the complete description. Job Area:
Engineering Group, Engineering Group → Machine Learning Engineering
Overview Join the Qualcomm AI Hub team and help developers integrate machine learning into their products and experiences. The role targets a Staff Software Engineer with expertise in the Android platform and on-device AI frameworks. Responsibilities include developing and supporting on-device machine learning applications for mobile and edge hardware, integrating on-device AI frameworks (Qualcomm AI stack, TFLite/LiteRT, ONNX runtime), efficient data processing in GPU shaders, sensor data handling, and delivering a compelling user experience. Profiling across CPU/GPU/NPU to identify performance bottlenecks and minimize memory copies. Interaction with customers/design partners and providing engineering roadmap input. Beyond Android, target platforms include Windows and Linux.
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.
Preferred Qualifications:
3+ years of industry experience using data structures and algorithms to ship projects at scale
3+ years of experience with development in modern C++, Java, or Kotlin
Solid understanding of Operating System Concepts and Concurrency
Strong proficiency in using git for software development
Strong written and verbal communication skills
3+ years of experience working with embedded Android including Android SDK, NDK, and the Android ecosystem (Maven, Google Play Store)
Prior experience with on-device AI runtimes like LiteRT/TFLite, ONNX, and Qualcomm AI stack is a plus
Experience in Windows development is also a bonus
Profiling and identifying inefficiencies across mixed CPU/GPU/NPU load
Familiarity with Python for AI/ML related software development
Familiarity with ARM processors, ARM Assembly, Mobile SoC architecture — subsystems, hypervisor/virtualization, security, memory, storage, buses, peripherals, power, thermals
Debugging skills, working experience in software bring-up and analyzing crash dumps
Level of Responsibility:
Works independently with minimal supervision.
Provides supervision/guidance to other team members.
Decision-making is significant in nature and affects work beyond the immediate work group.
Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may contact disability-accommodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
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.
Pay range and Other Compensation & Benefits:
$160,500.00 - $240,700.00
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. Salary is only one component of total compensation at Qualcomm, which also includes a competitive annual discretionary bonus program and potential RSU grants. A comprehensive benefits package is offered to support success at work, at home, and at play. Your recruiter can discuss details about Qualcomm benefits.
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