Job Information
Qualcomm Machine Learning Engineer in Markham, Ontario
Company:
Qualcomm Canada ULC
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, Qualcomm envisions making AI ubiquitous—expanding beyond mobile and powering other end devices, machines, vehicles, and things. We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G to make this a reality. Come join us if you want to work on bleeding edge AI technology.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
As a member of the ML System Software team, you will build high performance software for Qualcomm's AI engine.
Key Responsibilities:
Contribute to the development of the Qualcomm AI SW Stack
Design and optimize C/C++ code for embedded systems
Debug and analyze customer machine learning use cases executing on Qualcomm Hexagon Processors to tackle compute and system related bottlenecks
Collaborate with development leads, software and hardware architects to continuously improve our AI solution
Explore and analyze performance/power trade-offs for future HW and SW algorithms
Minimum Qualifications
- 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Skills / Experience Required
Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design
Familiarity with tools such as git, Jenkins, Docker
Analytical, programming and debugging skills in embedded environment
Experience with Linux/Android development environment and tools
Experience with profiling software and optimization techniques
Knowledge of algorithms and data structures
Demonstrated ability to learn, think and adapt in fast changing environment
Strong communication skills (written and verbal)
Curiosity and willingness to continually learn new things and propose new ideas
Significant Assets
Experience with machine learning frameworks, inference, or optimization
Familiar with machine learning operator development
On-silicon debug skills of high-performance compute algorithms
Experience with multitasking and multithreading driver development
Hands on knowledge of any RTOS and in-depth knowledge of the operating system concepts and fundamentals
Familiar with embedded/computer hardware architecture, including familiarity with caches and MMUs (ARM preferred)
Working knowledge of DSP architectures
Background in mathematical operations (e.g. linear algebra, fast math libraries, and vector instruction sets)
Applicants : If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport
Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.
Qualcomm is an equal opportunity employer and supports workforce diversity.
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 (http://www.qualcomm.com/contact/corporate) .
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