Nuvia
General Summary:
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.
Minimum Qualifications:
• 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.Preferred Qualifications:
• 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 (only applies to positions with 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).
Principal Duties and 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.
Level of Responsibility:
• Provides supervision to other supervisors/managers who are direct reports.
• Decision-making is critical in nature and highly impacts program, product, or project success.
• Requires verbal and written communication skills to convey highly complex and/or detailed information. May require strong negotiation and influence with large groups or high-level constituents.
• Develops and administers budgets, schedules, and performance standards for functional area within the prescribed budgetary objectives of the department.
• Has influence over the formulation and achievement of long-term business plans and objectives.
• Completing tasks that require multiple steps that can be performed in various orders; tasks require simultaneously executing multiple cognitive abilities and maintaining information in short- or long-term memory.
• Tasks often require multiple steps which can be performed in various orders; extensive planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
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.
Pay range and Other Compensation & Benefits:
$256,000.00 - $384,000.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.