AI Software Platform Engineer (2022 New Grads)

작업 내용

Company

Qualcomm Semiconductor Limited

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary

Do you want to work in the biggest emerging field of technology since the birth of the Internet? Machine learning is going to change EVERYTHING. We are rapidly expanding our AI Software Engineering team in Taiwan. This team has been working with a large number of other AI R&D teams around the world. We invite you to join this team to apply your skills to expand Qualcomm’s already impressive AI portfolio, with a special focus on software platform to fulfill AI applications for Mobile, Automotive, IoT and HPC devices. We combine high performance software with cutting edge hardware to run deep neural networks fast, and we do it with the lowest power on our incredible range of Snapdragon processors. In this position you will be responsible for enabling advanced machine learning usage scenarios on top of Qualcomm’s hardware and software infrastructure and participate in system software, tools development, maintenance and evolution for various ML computing SDK for Qualcomm processors. To extend SDK’s capability and applicability, you will work with neural network frameworks like Pytorch and TensorFlow, extend our neural net engine to support the latest and greatest DNNs emerging from the research community, and optimize for next generation hardware acceleration cores. You will also validate the performance and accuracy of the engine through detailed analysis and test coverage. Live and breathe software development with excellent analytical, development, and debugging skills and partner with industry-leading organizations for delivering next generation of machine learning technology into the hands of millions.

Minimum Qualifications

• Master’s degree in Computer Science, Electrical Engineering, or related field.
• Software development experience in one or more general purpose programming languages o such as: C/C++, Java or Python.
• Experience in the field of software engineering (i.e. working with data structures, algorithms, software design)..
• Good experience with Programming Language such as C, C++, Java, Python etc.
• Experience in large-scale software project.
• Ability to speak and write in English fluently.
  
  

Preferred Qualifications

• MS or PhD degree in Computer Science, Electrical Engineering, related technical field or equivalent practical experience, specializing in machine learning, computer architecture, operating system, compilers, or hardware-software codesign.
• Experience in machine learning software stack and hardware architecture.
• Experience in programming domain-specific accelerators, including DSP, GPU etc.
• Experience in compiler design and implementation, image/video/speech algorithms and software/hardware implementation techniques.
• Experience in Unix, Android or Linux operating system, framework, application and development environment.
  
  

Enthusiasm in machine learning technology. Hand-on experience in design/implementation of deep learning networks via modern frameworks, including TensorFlow, Pytorch, etc.

Ability to quickly learn new technologies and work on resolving customer reported technical problems during mobile or wireless communication product development cycles.

Excellent analytical, problem solving and Communication skills and willingness to work with customers

Education

Minimum Qualifications

Bachelors - Computer Science, Bachelors - Engineering, Bachelors - Information Systems

Certifications

Work Experiences:

Skills

Preferred Qualifications

Education

Masters - Computer Science, Masters - Engineering, Masters - Information Systems

Work Experiences

6 months of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware ,1+ years experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++). ,1+ years of experience working in a large matrixed organization. ,1+ years experience with Machine Learning frameworks (e.g.,Tensor Flow, Caffe, Caffe 2, Pytorch, Keras) ,1+ years experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media). ,1+ years experience using statistics and probability (e.g., conditional probability, Bayes rule)

Skills

AI Frameworks, Calculus, Data Manipulation, Deep Learning, Machine Learning, Performance Optimization, Python, Statistics

Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport

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