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 software team focused on definition and implementation of the overall testing strategy for a new machine learning program. This will include defining unit testing infrastructure to support a TDD software/firmware development, enable automated executing and reporting, and system level testing using popular ML frameworks such as PyTorch, CNTK, TensorFlow and others. You will work closely with development and architecture team to understand accelerator features and define test plans and solutions needed to deliver production grade software/firmware to the end customer.You will be collaborating with a variety of internal teams within CR&D as well as with Qualcomm’s commercial division (QCT) covering multiple engineering disciplines including: software, systems and hardware. The successful applicant should have a diverse skill set and a strong background in testing and automation strategies.
+ Bachelor’s degree in Computer Science, Computer Engineering, Information Systems or similar discipline
+ 3+ years’ experience architecting overall test strategy and feature test plans for complex software / hardware systems
+ 3+ years’ experience testing complex hardware / software systems in server or embedded systems environments
+ Understanding of Linux-based software stacks and tooling
+ Ability to quickly understand new software features and develop system level and adversarial test cases
+ Detailed-oriented with strong debugging and analysis skills for characterizing complex issues
+ Excellent organizational and communication skills
+ Experience with Continuous Integration tools such as Jenkins and code reviews tools like Gerritt
+ Experience with TDD development solutions like GoogleTest, CxxTest
+ Experience with Source Code and Configuration management tools; git knowledge is required
+ Good English communication (written and verbal) and positive interpersonal skills
+ Master’s degree in Computer Science, Computer Engineering, Information Systems or similar discipline
+ Understanding of machine learning concepts and neural network architectures; experience with machine learning software stacks also a plus
+ Understanding of embedded SOC architecture;
+ Experience with Linux servers and datacenter deployments
+ Experience with ML frameworks such as PyTorch, CNTK, Tensorflow, etc.
+ Experience with C/C++ programming and scripting languages, including Python
+ 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.
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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.
$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.
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