Qualcomm
Staff Engineer, Machine Learning Engineering (Heterogenous SW, Adreno GPU)
Qualcomm, San Diego, California, United States, 92189
Company: Qualcomm Technologies, Inc.
Job Area: Engineering Group > Machine Learning Engineering
General Summary:
Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices – like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge.
We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge – including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey.
Role Overview: In this particular role, you will work in a dynamic research environment, be part of a multi‑disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on‑ and off‑device frameworks enabling optimization. The successful applicant should have a strong theoretical background and proven hands‑on experience with enabling on‑device AI using modern software engineering best practices.
Must have experience and skills:
Strong theoretical background in AI and general ML techniques
Proven hands‑on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics
ML Accelerator architecture knowledge & experience with ML Accelerators – GPU/NPU
Proven hands‑on experience building LLM stacks to solve real‑world problems
Strong Python and modern C++ design and implementation skills
Strong command of Machine Learning training frameworks (i.e. PyTorch)
Proven hands‑on experience establishing a high‑quality software delivery process using industry best‑practices (code review, CI/CD, automation, etc.)
Strong Linux command line skills
Strong general analytical and debugging skills
Prior experience working in agile environments
Prior experience in collaborating with multi‑disciplinary teams across time zones
Strong team player, communicator, presenter, mentor, and teacher
Preferred extra experience and skills:
Hands‑on experience developing software for heterogenous platforms with OpenCL
Experience developing solutions that target a variety of hardware (CPU, GPU, NSP …) along with their respective SW development environments
Prior experience with model quantization, profiling and running models on edge devices
Experience developing SDKs/libraries targeting multiple platforms and operating systems (Android, Linux, Windows)
Previous experience with Docker and Git
Preferred qualifications:
Master's and/or PhD degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of work experience in Software Engineering, Systems Engineering, or related
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
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
PhD in Computer Science, Engineering, Information Systems, or related field
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.
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: $140,800.00 - $211,200.00
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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We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge – including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey.
Role Overview: In this particular role, you will work in a dynamic research environment, be part of a multi‑disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on‑ and off‑device frameworks enabling optimization. The successful applicant should have a strong theoretical background and proven hands‑on experience with enabling on‑device AI using modern software engineering best practices.
Must have experience and skills:
Strong theoretical background in AI and general ML techniques
Proven hands‑on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics
ML Accelerator architecture knowledge & experience with ML Accelerators – GPU/NPU
Proven hands‑on experience building LLM stacks to solve real‑world problems
Strong Python and modern C++ design and implementation skills
Strong command of Machine Learning training frameworks (i.e. PyTorch)
Proven hands‑on experience establishing a high‑quality software delivery process using industry best‑practices (code review, CI/CD, automation, etc.)
Strong Linux command line skills
Strong general analytical and debugging skills
Prior experience working in agile environments
Prior experience in collaborating with multi‑disciplinary teams across time zones
Strong team player, communicator, presenter, mentor, and teacher
Preferred extra experience and skills:
Hands‑on experience developing software for heterogenous platforms with OpenCL
Experience developing solutions that target a variety of hardware (CPU, GPU, NSP …) along with their respective SW development environments
Prior experience with model quantization, profiling and running models on edge devices
Experience developing SDKs/libraries targeting multiple platforms and operating systems (Android, Linux, Windows)
Previous experience with Docker and Git
Preferred qualifications:
Master's and/or PhD degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of work experience in Software Engineering, Systems Engineering, or related
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
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
PhD in Computer Science, Engineering, Information Systems, or related field
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.
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: $140,800.00 - $211,200.00
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.
#J-18808-Ljbffr