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 5G’s potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of automotive infotainment and autonomous driving. We are investing in several supporting technologies including 4G, 5G, ADAS, and Deep Learning.You will join the CR&D team running machine learning models on and developing the SDK for Qualcomm’s 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 Qualcomm’s 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.
+ Bachelor’s degree in Machine Learning/AI, Statistics, Applied Mathematics, Computer Science, or similar quantitative discipline
+ 3+ years’ hands-on experience with Deep Learning frameworks like PyTorch, TensorFlow, SNPE, Caffe/Caffe2, or similar
+ 3+ years’ experience and understanding of industry standard ML development tools such as PyTorch, TensorFlow, or similar running on GPUs or accelerator hardware.
+ Strong C and C++ proficiency; excellent object-oriented design skills
+ 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
+ Familiarity with training and deployment of ML networks in production sytstems
+ Proven experience assessing requirements and developing system-level solutions spanning full SW stack across full life cycle from concept to production
+ Knowledge of Linux infrastructure and development tools
+ Experience with Source Code and Configuration management tools such as git
+ Good English and excellent communication (written and verbal) and positive interpersonal skills
+ Master’s degree in Machine Learning/AI, Statistics, Applied Mathematics, Computer Science, or similar quantitative discipline
+ Understanding of GPU and/or DSP architectures; familiarity with low-level hardware designs or assembly coding also a plus
+ Good understanding of compilers, LLVM or similar
+ Understanding of accuracy analysis for ML networks
+ Strong background in mathematical operations: linear algebra and fast-math libraries
+ Excellent analytical, development, and debugging skills
+ Passion for machine learning
+ Frequently transports between offices, buildings and campuses up to ½ mile.
+ Frequently transports and install equipment up to 5 lbs.
+ Performs required tasks at various heights (e.g. standing or sitting).
+ Monitors and utilizes computers and test equipment for more than 6 hours a day.
+ Continuous communication which includes the comprehension of information with colleagues, customers and vendors both in person and remotely.
Bachelors - Computer Science, Bachelors - Engineering, Bachelors - Information Systems
2+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
Masters - Computer Science, Masters - Engineering, Masters - Information Systems
2+ years experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++). ,1+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware ,2+ years experience using statistics and probability (e.g., conditional probability, Bayes rule) ,2+ years experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media). ,2+ years experience with Machine Learning frameworks (e.g.,Tensor Flow, Caffe, Caffe 2, Pytorch, Keras) ,1+ years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above). ,2+ years of experience working in a large matrixed organization.
AI Frameworks, Calculus, Data Manipulation, Deep Learning, Machine Learning, Performance Optimization, Python, Statistics
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.
$129,400.00 - $194,200.00
If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .
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 Postings
Equal Employment Opportunity (https://www.eeoc.gov/sites/default/files/migrated\_files/employers/poster\_screen\_reader\_optimized.pdf)
"EEO is the Law" Poster Supplement
Pay Transparency NonDiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp\_%20English\_formattedESQA508c.pdf)
Employee Polygraph Protection Act
Family Medical Leave Act (https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/fmlaen.pdf)
Rights of Pregnant Employees
Discrimination and Harassment (https://www.dfeh.ca.gov/wp-content/uploads/sites/32/2020/10/Workplace-Di...\_ENG.pdf)
California Family Rights Act
Prepare and succeed
Qualcomm Interview FAQs (https://www.qualcomm.com/company/careers/faqs)
Employment Fraud Alert
We have received reports of employment scams that seek financial or personal information from job candidates. Please note these communications are fraudulent. Click here (https://www.qualcomm.com/employment-fraud-alert) to view our Employment Fraud Alert.