Senior Staff Engineer, Machine Learning Engineering ( On-device Learning SW )
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Software Engineering · Embedded Systems
In short
Qualcomm AI Research is looking for experienced AI software engineers to develop and optimize AI technologies for edge devices. This role involves creating end-to-end embedded AI software, enhancing the ML/AI SW stack, and collaborating with hardware teams to deploy state-of-the-art GenAI models on industry-leading chips.
Responsibilities
- Develop end-to-end embedded AI software to train and finetune neural network models on Qualcomm hardware with optimal resources.
- Design and enhance the implementation of ML/AI SW stack, kernels, and runtime software to improve performance and power efficiency.
- Collaborate with the AI Processor Hardware team to implement high-quality solutions for new ML operators/layers that optimally utilize new capabilities in next-gen AI processors.
- Develop debugging/profiling tools and user-friendly SDKs for customers to foster rapid deployment of their new use cases.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of relevant work experience.
- Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of relevant work experience.
- PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of relevant work experience.
- 5+ years of experience with Machine Learning frameworks and Deep Learning (Pytorch).
- 5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, C, C++).
- Strong software design, development, and debugging skills.
Desired Qualifications
- Knowledge of Android programming is a plus.
- Optimization of algebraic operations in algorithms for HW cores is a plus.
- Knowledge in neural network model training is a big plus.
- Knowledge in neural network model quantization is a big plus.
- Experience with Qualcomm QNN SDK is a big plus.
Benefits
- Competitive annual discretionary bonus program
- Opportunity for annual RSU grants
- Highly competitive benefits package designed to support success at work, at home, and at play.
Skills
Machine LearningDeep LearningPytorchPythonC++CAndroidQNN SDK
#Machine Learning#AI#GenAI#On-device Learning#Software Engineering#Embedded Systems
About Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
1 week ago
Employment Type
Full Time
Work mode
On Site
Salary
US$194,400–291,600 / year
Experience Level
Senior
Locations
San Diego, United States of America
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant
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