Sr. Software Engineer | Qualcomm AI Runtime for Low Power AI
Qualcomm•Markham, ON
About The Position
AI’s ability to solve complex problems across multiple domains is transformative. In the AI Software team, we build the Qualcomm AI Engine to enables OEMs and developers to run their Machine Learning workloads on Qualcomm's low-power AI accelerators. Your work will directly impact the runtime efficiency, latency, and power consumption of AI applications running on Qualcomm hardware deployed on cars, notebook computers, phones, and wearables. Come join us to work on bleeding edge AI technology. Note: This is not a data science position. New Head count
Requirements
- 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.
Nice To Haves
- Eight or more years of relevant work experience
- Experience with modern C++17 language features
- Practical experience with developing middleware or firmware software
- Experience with multitasking and multithreading driver development
- Experience with Hexagon DSP SDK or cross compiler toolchains for embedded systems
- Familiarity with TensorFlow, PyTorch or ONNX
- Experience with tools such as git, Linux, JIRA and Docker
- Knowledge of design patterns
Responsibilities
- Design and implement core components of the ML runtime framework for inference on embedded systems, operating in low power, small memory footprint platforms
- Develop and maintain C/C++ code for runtime kernels and system-level integration
- Development of model analyzing tools for the internal and external customers
- Use cross compiler toolchains for embedded systems such as Android, embedded Linux and QNX
- Address issues found in existing and past Qualcomm AI products
- Debug customer machine learning use cases executing on Qualcomm AI Stack
- Communication across globally diverse team
- Participate in software quality process improvements
Benefits
- competitive annual discretionary bonus program
- opportunity for annual RSU grants
- highly competitive benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
