Staff Software Engineer, AI Software Core
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Software Engineering
In short
Qualcomm is seeking a Staff Software Engineer for their AI Software Core team. This role involves creating and implementing machine learning techniques and frameworks to enhance mobile, edge, auto, and IoT products. The engineer will work on advanced machine learning solutions, model optimization, and software development for inference and training on hardware.
Responsibilities
- Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
- Models, architects, and develops advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
- Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.
- Develops and applies machine learning techniques into products and/or AI solutions to enable customers to do the same.
- Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and working features.
- Oversees and conducts experiments to train and evaluate machine learning models and/or software.
Requirements
- 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.
- 5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
- 5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
- 5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)
- 5+ years of 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.
- Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
Desired Qualifications
- Master's degree in Computer Science, Engineering, Information Systems, or related field.
- 3+ years experience working in a large matrixed organization.
- 1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).
- 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
Benefits
- Competitive annual discretionary bonus program
- Opportunity for annual RSU grants
- Highly competitive benefits package designed to support your success at work, at home, and at play.
- Accommodations available for individuals with disabilities during the application/hiring process.
- Qualcomm is committed to making our workplace accessible for individuals with disabilities.
Skills
Machine LearningTensor FlowCaffeCaffe 2PytorchKerasPythonRCC++StatisticsProbabilityLinuxAndroidQNXAlgorithmsAPIAmazon Web Services (AWS)Artificial Intelligence
#AI#Machine Learning#Software Engineering#Embedded Systems#Optimization
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
4 days ago
Employment Type
Full Time
Work mode
Remote
Salary
US$162,000–243,000 / year
Experience Level
Senior
Locations
San Diego, United States of America
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant
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