מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
Responsibilities include:
Create state-of-the-art machine learning development tools and software libraries. Design software libraries to assist in building and executing machine learning models.
Develop computer algorithms to complete specific software tasks for cutting edge computer vision, speech, and machine learning experiences for the end users of our software stack.
Build compiler toolchain to translate, convert and optimize machine learning models. Define and build user-facing application programming interfaces and software packages to enable users to interact with software.
Interact with customers as needed and provide engineering roadmap to assist in prioritization of deliverables.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications:
Special Requirements:Must have prior work experience in each of the following:
Writing compiler code and optimizations including graph passes
Performance optimization using hardware-software co-design.
Performant in C++, Python Experience with open-source machine learning frameworks such as PyTorch or Tensorflow
Writing performance and scalable software stack
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
:
$181,000.00 - $272,000.00
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