Job Specifications
Company
Qualcomm Canada ULC
Job Area
Engineering Group, Engineering Group > Software Applications Engineering
General Summary
General Summary:
As a pioneering technology innovator, Qualcomm expands the limits of possibility to deliver next-generation experiences and spearheads digital transformation, fostering a smarter, more connected future for everyone. As a Qualcomm Customer Engineer, you will collaborate with leading application vendors to integrate advanced AI models, ensuring they operate efficiently on powerful NPU engines built into Qualcomm chipsets. This position will expose you to Qualcomm’s cutting-edge CPU, GPU and NPU features, and ML/AI acceleration needed for the industry.
Must Have Experience
Strong experience in embedded software development, integration, optimization and debugging
Proficiency in C/C++ and modern scripting languages such as Python
Preferred Qualifications
2+ years of experience working with embedded platforms
2+ years experience with high level OS (QNX, Linux, or Android)
Experience with ML applications in Automotive Infotainment or Autonomous Driving
Experience with dedicated ML accelerators or hardware blocks for embedded AI, inference optimization and edge deployment
Hands on knowledge of major CV/DL frameworks: OpenCV, OpenCL, PyTorch, TensorFlow, Caffe/Caffe2
Experience with supervised & unsupervised ML, including CV, NLP, and LLM based systems, tuning GenAI models or reinforcement learning
Experience with ML/MLOps pipelines for AI application development and deployment
Solid understanding of neural network operators, linear algebra, quantization and ML/DL related fundamentals, including CNNs, object detection, segmentation, and related algorithms
Experience with debugging tools (JTAG, ftrace, GDB)
Strong communication, collaboration, and customer focused mindset
Ability to manage tasks, timelines, and drive cross-functional execution
Ability to quickly learn new technologies and perform deep technical analysis
Principal Duties And Responsibilities
Responsible for CV models, LLMs, VLMs, VLAs deployment in ADAS and Cockpit Edge platforms and support customers for successful commercialization
Develop end to end applications for inference deployment on customer platforms
Plan with team lead, take ownership of on-time delivery and quality.
Train and support internal teams in issue resolution.
Participate in cross department initiatives & activities to solve technical problems with cross-functional team.
Contributing towards the continuous development & innovation of tools, technology and user experience
Assist in the design, development, and implementation of Gen AI and LLM applications
Contribute towards implementing fine tuning and distillation techniques
Perform ML model benchmarking and functional analysis to drive requirements and specifications
Support customer engagement with AI model/workload optimization and deployment
Collaborates with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of systems
Develops new and innovative ideas for a product or feature area.
Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members.
Minimum Qualifications
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Applications Engineering, Software Development experience, or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
1+ year of any combination of academic and/or work experience with Programming Language such as C, C++, Java, Python, etc.
1+ year of any combination of academic and/or work experience with debugging techniques.
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 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).
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 an