Tóm tắt
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 8+ 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., Sr. Director and above).
• Developed 1+ novel Machine Learning architecture(s).
Principal Duties and Responsibilities:
• Leverages expert Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
• Acts a technical expert for modeling, architecture, and developing highly advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
• Develops highly critical 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.
• Oversees the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Acts as a technical lead for teams developing, adapting, and prototyping machine learning solutions; reviews and helps write proposals or roadmaps for sub-systems of complex products and features.
• Provides technical expertise for experiments that train and evaluate machine learning solutions and communicates progress to key stakeholders.
Level of Responsibility:
• Provides supervision to 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.
• 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.
Applicants: 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 [email protected] 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).
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.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
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Nguồn: careers Qualcomm
Semiconductor / wireless — VN (Hanoi · HCMC)
Hà Nội · Ho Chi Minh City · Sync · 21 job
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| Job | Địa điểm | Thời gian | Hành động |
|---|---|---|---|
Ho Chi Minh City, Ho Chi Minh City, Vietnam | Ho Chi Minh City, Ho Chi Minh City, Vietnam | ||
Ho Chi Minh City, Ho Chi Minh City, Vietnam | Ho Chi Minh City, Ho Chi Minh City, Vietnam | ||
Ho Chi Minh City, Ho Chi Minh City, Vietnam | Ho Chi Minh City, Ho Chi Minh City, Vietnam | ||
Ho Chi Minh City, Ho Chi Minh City, Vietnam | Ho Chi Minh City, Ho Chi Minh City, Vietnam | ||
Ho Chi Minh City, Ho Chi Minh City, Vietnam | Ho Chi Minh City, Ho Chi Minh City, Vietnam | ||
Ho Chi Minh City, Ho Chi Minh City, Vietnam | Ho Chi Minh City, Ho Chi Minh City, Vietnam | ||
Hanoi, Hanoi, Vietnam | Hanoi, Hanoi, Vietnam | ||
Hanoi, Hanoi, Vietnam | Hanoi, Hanoi, Vietnam | ||
Ho Chi Minh City, Ho Chi Minh City, Vietnam | Ho Chi Minh City, Ho Chi Minh City, Vietnam | ||
Hanoi, Hanoi, Vietnam | Hanoi, Hanoi, Vietnam | ||
Hanoi, Hanoi, Vietnam | Hanoi, Hanoi, Vietnam | ||
Ho Chi Minh City, Ho Chi Minh City, Vietnam | Ho Chi Minh City, Ho Chi Minh City, Vietnam | ||
Ho Chi Minh City, Ho Chi Minh City, Vietnam | Ho Chi Minh City, Ho Chi Minh City, Vietnam | ||
Ho Chi Minh City, Ho Chi Minh City, Vietnam | Ho Chi Minh City, Ho Chi Minh City, Vietnam | ||
Ho Chi Minh City, Ho Chi Minh City, Vietnam | Ho Chi Minh City, Ho Chi Minh City, Vietnam | ||
Ho Chi Minh City, Ho Chi Minh City, Vietnam | Ho Chi Minh City, Ho Chi Minh City, Vietnam | ||
Ho Chi Minh City, Ho Chi Minh City, Vietnam | Ho Chi Minh City, Ho Chi Minh City, Vietnam | ||
Ho Chi Minh City, Ho Chi Minh City, Vietnam | Ho Chi Minh City, Ho Chi Minh City, Vietnam | ||
Ho Chi Minh City, Ho Chi Minh City, Vietnam | Ho Chi Minh City, Ho Chi Minh City, Vietnam | ||
Ho Chi Minh City, Ho Chi Minh City, Vietnam | Ho Chi Minh City, Ho Chi Minh City, Vietnam | ||
Hanoi, Hanoi, Vietnam | Hanoi, Hanoi, Vietnam |
21 job
21 job
Tóm tắt
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 8+ 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., Sr. Director and above).
• Developed 1+ novel Machine Learning architecture(s).
Principal Duties and Responsibilities:
• Leverages expert Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
• Acts a technical expert for modeling, architecture, and developing highly advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
• Develops highly critical 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.
• Oversees the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Acts as a technical lead for teams developing, adapting, and prototyping machine learning solutions; reviews and helps write proposals or roadmaps for sub-systems of complex products and features.
• Provides technical expertise for experiments that train and evaluate machine learning solutions and communicates progress to key stakeholders.
Level of Responsibility:
• Provides supervision to 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.
• 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.
Applicants: 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 [email protected] 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).
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.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
Đang tải…
Nguồn: careers Qualcomm