Nutanix
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary: Qualcomm AI Research is looking for world-class researchers in deep learning to join a high-caliber team of engineers inventing machine
-
learning technology to provide best-in-class solutions while running with the most efficient use of power, memory, and computation.
Members of our team are part of a multi-disciplinary core research group within Qualcomm which spans software, hardware, and systems. Our members contribute technology deployed worldwide by partnering with our business
teams
across mobile,
compute
, automotive, cloud, and IOT
.
We also perform and publish
state-of-the-art
research
on
a wide range of topics in
machine-learning
,
ranging
from
general theory to techniques that enable
deployment
on
resource-constrained devices
. Our research team has
demonstrated
first-in-the-world research and proof-of-concepts in areas such model efficiency, neural video codecs,
generative ai,
video semantic segmentation, federated learning, and wireless RF sensing
,
to name a few
.
We work to then
convert
our research and industry
state-of-the-art
methods i
nto best-in-class tools such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit
(
https://github.com/quic/aimet
)
.
Please see our
AI focus page at
https://qualcomm.com/ai
for
more details 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.
Role responsibility can include both applied and fundamental research in the field of machine learning with development focus in one or many of the following areas: Conducts fundamental machine learning
research to create new models or new training methods in various technology areas,
e.g.,
large language models,
deep generative models
(
transformers, state-space networks, diffusion networks, VAEs
, etc.)
, reasoning
models, agentic
frameworks
, and reinforcement learning techniques. Drives systems innovations for model efficiency advancement on device as well as in the cloud. This includes model compression, model sparsity,
quantization
optimization
method
s
, plus u
nified optimization of models and their implementation
on-target to balance memory,
speed, and power. Performs advanced platform research to enable new machine learning compute paradigms, e.g., compute in memory, on-device learning/training, edge-cloud distributed/federated learning, quantum machine learning, causal and language-based reasoning. Creates new machine learning models for advanced use cases that achieve state-of-the-art
performance and beyond. The use cases can broadly include computer vision, audio, speech, NLP, image, video, power management, wireless, graphics, and chip design. Design, develop & test software for machine learning frameworks that optimize
models to run efficiently on edge devices.
Candidate
is expected to have strong interest and deep passion
on making leading-edge deep learning algorithms work on mobile/embedded platforms for the benefit of end users. Research, design, develop, enhance, and implement different components of machine learning compiler for HW Accelerators. Design, implement and train DL/RL algorithms in high-level languages/frameworks. Preferred Qualifications: PhD in AI, Computer Science, Engineering, Information Systems, or related field
, or MS
with
4
+ years of machine learning research, or related work experience. Strong background in computer science and deep learning basics Strong programming skills in Python and PyTorch
.
Profi
ciency
in designing and implementing complex training and evaluation pipelines
. Exceptional analytical, development, debugging and
problem solving
skills Experience with LLM, LVM, LMM models, and other neural network architectures. Excellent interpersonal, written, and oral communications skills Experience with machine learning accelerators, optimizing algorithms for hardware acceleration cores, working with heterogeneous or parallel computing systems. Design and develop generalized AI solutions, including retrieval and agentic systems
. Experience in LLM reasoning or inference acceleration research
Experience of on-device AI model production or exposure to mobile / edge device environments First author publications experience at major AI conferences, e.g., NeurIPS, ICML, and ICLR We are actively hiring Research/Engineering professionals in multiple regions including: Machine Learning Compilers
Engineer –
Markham Deep Learning Researcher – San Diego Machine Learning Framework Engineer: Distributed / On-Device Training – San Diego System-2 Deep Learning and Neural Reasoning Researcher –
Markham Deep Learning Systems/Hardware Engineer – San Diego Machine Learning Compilers & Optimizations – San Diego Embedded/System Software Engineer – San Diego AI Model Optimization Tools Developer – San Diego Machine Learning Researcher – San Diego Machine Learning Evaluation Engineer– Qualcomm Research –
Seoul
, San Diego AIMET Systems Engineer – San Diego On-device Learning – San Diego Optimization Engineer – San Diego ML/AI Cloud Engineer – San Diego Full Stack C++ Developer for ML Frameworks on Mobile –
Markham
, San Diego Applications will be considered by multiple hiring teams covering these regions. 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
: $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
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary: Qualcomm AI Research is looking for world-class researchers in deep learning to join a high-caliber team of engineers inventing machine
-
learning technology to provide best-in-class solutions while running with the most efficient use of power, memory, and computation.
Members of our team are part of a multi-disciplinary core research group within Qualcomm which spans software, hardware, and systems. Our members contribute technology deployed worldwide by partnering with our business
teams
across mobile,
compute
, automotive, cloud, and IOT
.
We also perform and publish
state-of-the-art
research
on
a wide range of topics in
machine-learning
,
ranging
from
general theory to techniques that enable
deployment
on
resource-constrained devices
. Our research team has
demonstrated
first-in-the-world research and proof-of-concepts in areas such model efficiency, neural video codecs,
generative ai,
video semantic segmentation, federated learning, and wireless RF sensing
,
to name a few
.
We work to then
convert
our research and industry
state-of-the-art
methods i
nto best-in-class tools such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit
(
https://github.com/quic/aimet
)
.
Please see our
AI focus page at
https://qualcomm.com/ai
for
more details 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.
Role responsibility can include both applied and fundamental research in the field of machine learning with development focus in one or many of the following areas: Conducts fundamental machine learning
research to create new models or new training methods in various technology areas,
e.g.,
large language models,
deep generative models
(
transformers, state-space networks, diffusion networks, VAEs
, etc.)
, reasoning
models, agentic
frameworks
, and reinforcement learning techniques. Drives systems innovations for model efficiency advancement on device as well as in the cloud. This includes model compression, model sparsity,
quantization
optimization
method
s
, plus u
nified optimization of models and their implementation
on-target to balance memory,
speed, and power. Performs advanced platform research to enable new machine learning compute paradigms, e.g., compute in memory, on-device learning/training, edge-cloud distributed/federated learning, quantum machine learning, causal and language-based reasoning. Creates new machine learning models for advanced use cases that achieve state-of-the-art
performance and beyond. The use cases can broadly include computer vision, audio, speech, NLP, image, video, power management, wireless, graphics, and chip design. Design, develop & test software for machine learning frameworks that optimize
models to run efficiently on edge devices.
Candidate
is expected to have strong interest and deep passion
on making leading-edge deep learning algorithms work on mobile/embedded platforms for the benefit of end users. Research, design, develop, enhance, and implement different components of machine learning compiler for HW Accelerators. Design, implement and train DL/RL algorithms in high-level languages/frameworks. Preferred Qualifications: PhD in AI, Computer Science, Engineering, Information Systems, or related field
, or MS
with
4
+ years of machine learning research, or related work experience. Strong background in computer science and deep learning basics Strong programming skills in Python and PyTorch
.
Profi
ciency
in designing and implementing complex training and evaluation pipelines
. Exceptional analytical, development, debugging and
problem solving
skills Experience with LLM, LVM, LMM models, and other neural network architectures. Excellent interpersonal, written, and oral communications skills Experience with machine learning accelerators, optimizing algorithms for hardware acceleration cores, working with heterogeneous or parallel computing systems. Design and develop generalized AI solutions, including retrieval and agentic systems
. Experience in LLM reasoning or inference acceleration research
Experience of on-device AI model production or exposure to mobile / edge device environments First author publications experience at major AI conferences, e.g., NeurIPS, ICML, and ICLR We are actively hiring Research/Engineering professionals in multiple regions including: Machine Learning Compilers
Engineer –
Markham Deep Learning Researcher – San Diego Machine Learning Framework Engineer: Distributed / On-Device Training – San Diego System-2 Deep Learning and Neural Reasoning Researcher –
Markham Deep Learning Systems/Hardware Engineer – San Diego Machine Learning Compilers & Optimizations – San Diego Embedded/System Software Engineer – San Diego AI Model Optimization Tools Developer – San Diego Machine Learning Researcher – San Diego Machine Learning Evaluation Engineer– Qualcomm Research –
Seoul
, San Diego AIMET Systems Engineer – San Diego On-device Learning – San Diego Optimization Engineer – San Diego ML/AI Cloud Engineer – San Diego Full Stack C++ Developer for ML Frameworks on Mobile –
Markham
, San Diego Applications will be considered by multiple hiring teams covering these regions. 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
: $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