Machine Learning Engineering - Engineer, Senior Staff
Company: Qualcomm
Location: Raleigh
Posted on: April 10, 2021
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Job Description:
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group,
Engineering Group > Machine Learning Engineering Job Overview:
Qualcomm is a company of inventors that unlocked 5G ushering in an
age of rapid acceleration in connectivity and new possibilities
that will transform industries, create jobs, and enrich lives. But
this is just the beginning. It takes inventive minds with diverse
skills, backgrounds, and cultures to transform 5Gs potential into
world-changing technologies and products. This is the Invention Age
- and this is where you come in. Qualcomm is a company of inventors
that unlocked 5G - ushering in an age of rapid acceleration in
connectivity and new possibilities that will transform industries,
create jobs, and enrich lives. But this is just the beginning. It
takes inventive minds with diverse skills, backgrounds, and
cultures to transform 5Gs potential into world-changing
technologies and products. This is the Invention Age - and this is
where you come in. We are investing in several supporting
technologies including 4G, 5G, Edge Computing, and Deep Learning.
You will join the CR&D team running machine learning models on
and developing the SDK for Qualcomms Neural Signal Processor. Your
focus will be on analyzing the functionality and performance of
competing products and helping to define the roadmap and
implementation for Qualcomm Qranium SDK solution. Additionally, you
will participate in the porting of ML frameworks and software to
Qranium and perform detailed analysis of overall Qranium SDK and
neural network performance. You will be collaborating across
internal teams within CR&D as well as with Qualcomms commercial
division (QCT) covering multiple engineering disciplines including:
system level feature definition and development, full stack
software architecture, systems and hardware. Direct customer
interaction supporting feature development and productization of
commercial solutions may also be required. The successful applicant
should have a diverse skill set including a strong background in
system design, machine learning, and performance, an understanding
of accelerator architectures and a passion to design and develop
industry leading solutions. Skills and Aptitudes + Hands-on
experience with Deep Learning frameworks like SNPE, Keras,
Caffe/Caffe2, TensorFlow, PyTorch + Experience and understanding of
a wide variety of DL network architectures spanning CNNs,
RNNs/LSTMs, transformers/NLP, and more. Hands on experience
developing neural networks and/or neural network operators +
Experience and understanding of architecture and processing of
industry leading frameworks like PyTorch, ONNX, Caffe2, and
Tensorflow + Experience with machine learning algorithms and
architectures, including CNNs, and RNNs/LSTMs + Proven experience
assessing requirements and developing system level solutions
spanning full SW stack across full life cycle from concept to
production + Excellent C and C++ software design skills + Knowledge
of Linux infrastructure and development tools + Degree in Machine
Learning/AI, Statistics, Applied Mathematics, Computer Science, or
similar quantitative discipline + Experience with Source Code and
Configuration management tools such as git Minimum Qualifications +
Bachelor's degree in Engineering, Information Systems, Computer
Science, or related field. + 7+ years Software Engineering or
related work experience. + 3+ years experience with Programming
Language such as C, C++, Java, Python, etc. Preferred
Qualifications + Understanding of GPU and/or DSP architectures,
familiarity with low-level hardware designs or assembly coding a
plus + Good understanding of compilers, LLVM or similar preferred +
Strong background in mathematical operations: linear algebra, fast
math libraries a plus + Excellent analytical, development, and
debugging skills + Passion for machine learning Applicants: If you
are an individual with a disability and need an accommodation
during the application/hiring process, please call Qualcomm's
toll-free number found here
(https://qualcomm.service-now.com/hrpublic?id=hr\_public\_article\_view&sysparm\_article=KB0039028)
for assistance. Qualcomm will provide reasonable accommodations,
upon request, 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.
Qualcomm is an equal opportunity employer and supports workforce
diversity. 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. We are engineers, scientists and business
strategists. We are from many different countries and speak many
different languages. We come from diverse cultures and have unique
perspectives. Together, we focus on a single goal-we invent
breakthrough technologies that transform how the world connects,
computes, and communicates. Employment Notices for US-based Job
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Keywords: Qualcomm, Raleigh , Machine Learning Engineering - Engineer, Senior Staff, Engineering , Raleigh, North Carolina
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