Qualcomm Machine Learning Engineering - Engineer, Senior Staff in San Diego, California
Company:Qualcomm Technologies, Inc.
Job Area:Engineering Group, Engineering Group > Machine Learning Engineering
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
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.
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
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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.
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