Machine Learning Software Developer

Overview

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.

GENERAL SUMMARY

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.Ideal candidates will demonstrate the following skills and aptitudes:• Hands-on experience with PyTorch, TensorFlow, SNPE, Caffe/Caffe2, or similar deep learning frameworks.• Understanding of neural network architectures such as CNNs, RNNs/LSTMs, transformers/NLP.• Hands on experience in deploying, debugging and analyzing neural networks in server environments.• Hands on experience developing neural network operators. Strong background in linear algebra and core ML fundamentals.• Experience and understanding of industry standard ML development tools such as PyTorch, TensorFlow, or similar running on GPUs or accelerator hardware.• 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• Strong C and C++ proficiency. Excellent object oriented 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• Good English and excellent communication (written and verbal) and positive interpersonal skills • 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• Understanding of accuracy analysis for ML networks• Strong background in mathematical operations: linear algebra, fast math libraries a plus• Excellent analytical, development, and debugging skills• Passion for machine learning

PHYSICAL REQUIREMENTS:

+ 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.

Minimum Qualifications

Education:

Bachelors – Computer Science, Bachelors – Engineering, Bachelors – Information Systems

Work Experiences:

5+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

Certifications:

Skills:

Preferred Qualifications

Education:

Masters – Computer Science, Masters – Engineering, Masters – Information Systems

Work Experiences:

1+ years in a technical leadership role with or without direct reports (only applies to positions with direct reports). ,3+ years of experience working in a large matrixed organization. ,1+ years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above). ,5+ years experience with Machine Learning frameworks (e.g.,Tensor Flow, Caffe, Caffe 2, Pytorch, Keras). ,5+ years experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media) ,5+ years experience using statistics and probability (e.g., conditional probability, Bayes rule) ,2+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware. ,5+ years experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)

Certifications:

Skills:

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.

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-Discrimination-Poster_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.