Sr Director, Machine Learning Engineering

Qualcomm • San Diego, CA

90d • $256,000 - $384,000

About The Position

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 10+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 9+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Nice To Haves

• Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
• 5+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
• 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).
• 4+ years in a technical leadership role with or without direct reports.
• 4+ years experience working in a large matrixed organization.
• 3+ years of work experience in a role requiring interaction with senior leadership (e.g., Vice President and above).
• 2+ years managing operating budgets and/or project financials.
• Developed 1+ novel Machine Learning architecture(s).

Responsibilities

• Leverages expert Machine Learning knowledge to influence and oversee the extending of training or runtime frameworks or model efficiency software tools with new features and optimizations.
• Determines and oversees guidelines for modeling, architecture, and developing machine learning hardware (co-designed with machine learning software) for inference or training solutions.
• Directs and oversees the development of 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.
• Ensures the timely development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Executes on product proposals or roadmaps of various levels of complexity; defines strategy and direction for teams.
• Provides updates regarding experiments of machine learning solutions to key stakeholders across the business.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree