Overview
On Site
USD 158,400.00 - 237,600.00 per year
Full Time
Skills
Optimization
Android Development
Streaming
Video
Large Language Models (LLMs)
Generative Artificial Intelligence (AI)
Sensors
User Experience
Android
Microsoft Windows
Linux
Computer Science
Information Systems
Software Engineering
Systems Engineering
Data Structure
Algorithms
C++
Java
Kotlin
Operating Systems
Concurrent Computing
Git
Data Compression
CPU
GPU
NPU
Python
Software Development
ARM
ARM Assembler
System On A Chip
Hypervisor
Virtualization
Storage
Debugging
Training
Computer Hardware
Artificial Intelligence
Prototyping
Roadmaps
Machine Learning (ML)
Supervision
Decision-making
Communication
Negotiations
Leadership
Conflict Resolution
Problem Solving
Recruiting
Policies and Procedures
Law
Sales
Job Details
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Join the Qualcomm AI Hub team and help developers integrate machine learning into their products and experiences: ;br>
For this role we are seeking a talented and motivated Engineer with expertise in the Android platform and on-device AI frameworks. The candidate will have opportunities to develop and support cutting-edge on-device machine learning applications, pushing the boundary of what is possible on mobile and edge hardware. Applications range from latency and power critical streaming video, to memory-challenging large language models and Gen AI. Software development would encompass integrating on-device AI frameworks (Qualcomm AI stack, TFLite/LiteRT, ONNX runtime), efficiently pre/post process data in GPU shaders, read sensor data, and putting it all together in a compelling user experience. Profiling across CPU/GPU/NPU to understand performance bottlenecks and minimize memory copies. Interact with customers and design partners as needed and provide engineering roadmap to assist in prioritization of deliverables. Beyond Android, target platforms include Windows and Linux.
Minimum Qualifications:
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.
OR
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.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications:
Principal Duties and 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.
Level of Responsibility:
Works independently with minimal supervision.
Provides supervision/guidance to other team members.
Decision-making is significant in nature and affects work beyond immediate work group.
Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
Tasks do not have defined steps; 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 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).
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.
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:
$158,400.00 - $237,600.00
The 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.
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Join the Qualcomm AI Hub team and help developers integrate machine learning into their products and experiences: ;br>
For this role we are seeking a talented and motivated Engineer with expertise in the Android platform and on-device AI frameworks. The candidate will have opportunities to develop and support cutting-edge on-device machine learning applications, pushing the boundary of what is possible on mobile and edge hardware. Applications range from latency and power critical streaming video, to memory-challenging large language models and Gen AI. Software development would encompass integrating on-device AI frameworks (Qualcomm AI stack, TFLite/LiteRT, ONNX runtime), efficiently pre/post process data in GPU shaders, read sensor data, and putting it all together in a compelling user experience. Profiling across CPU/GPU/NPU to understand performance bottlenecks and minimize memory copies. Interact with customers and design partners as needed and provide engineering roadmap to assist in prioritization of deliverables. Beyond Android, target platforms include Windows and Linux.
Minimum Qualifications:
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.
OR
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.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications:
- 3+ years of industry experience using data structures and algorithms to ship projects at scale
- 3+ years of experience with development in Python, modern C++, Java, or Kotlin
- Solid understanding of Operating System Concepts and Concurrency
- Strong proficiency in using git for SW development
- Strong written and verbal communication skills
- Prior experience with on-device AI runtimes like LiteRT/TFLite, ONNX, and Qualcomm AI stack is a big plus
- Prior experience working on model quantization or model compression is a big plus
- Profiling and identifying inefficiencies across mixed CPU/GPU/NPU load
- Familiarity with python for AI/ML related software development
- Familiarity with ARM processors, ARM Assembly, Mobile SoC architecture - subsystems, hypervisor/virtualization, security, memory, storage, buses, peripherals, power, thermals
- Debugging skills, working experience in SW bring up and analyzing crash dumps
Principal Duties and 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.
Level of Responsibility:
Works independently with minimal supervision.
Provides supervision/guidance to other team members.
Decision-making is significant in nature and affects work beyond immediate work group.
Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
Tasks do not have defined steps; 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 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).
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.
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:
$158,400.00 - $237,600.00
The 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.