Qualcomm Sr. Staff Software Customer Engineer in Toronto, Ontario
Qualcomm Canada ULC
Engineering Group, Engineering Group > Software Applications Engineering
The Qualcomm Global Automotive team is actively engaged in offering optimized solutions for Autonomous Driving systems. We are seeking ambitious, bright, and innovative engineers to be part of this initiative. Job activities span the whole product life cycle from early R&D to commercial deployment. The environment is fast-paced and requires cross-functional interaction with globally placed teams. Responsibilities shall include the following:
Design and implementation of vision and neural network processing pipelines on Qualcomm’s Autonomous/ADAS SoCs and platforms.
Closely collaborate with product owners and domain/technology experts to define the specifications, lead the software design/implementation, and integrate/validate software in a larger system.
Actively engage with Automotive OEMs, Tier-1s and ISVs to implement solutions based on of Qualcomm Automotive platforms.
Working knowledge of operating systems like QNX, Linux and other RTOSs
Knowledge of frameworks and SDKs for Vision/Deep Learning (eg. OpenCV, OpenCL, PyTorch, TensorFlow etc.).
Experience with designing complex fault-tolerant safety systems, and designing in accordance to industry standard specifications (eg. ISO26262, ASPICE).
Experience with Embedded software development, integration, debugging.
Experience with Multitasking systems and architecture
Experience with C/C++ programming
Excellent issue triage and Debugging skills
Good Communication and Excellent Team working skills.
Quick Adaptability to work in new technologies.
Experience executing, analysing, and optimizing neural networks in TensorFlow, Caffe2, PyTorch or similar frameworks
Background and understanding of neural network operators and mathematical operations: linear algebra, math libraries, desirable
Experience with industry standard and emerging ML benchmark suites such as MLPerf desirable
Experience / understanding of machine learning execution engines such as Glow, ONNX Runtime, or similar a plus
Experience with machine learning accelerators and related software a plus
Strong skills in analysing performance of software/hardware solutions on multi-core architectures; understanding of multi-core architecture fundamentals (core, cache, memory, bus, PCIe, etc)
Target specific code generation and optimization using LLVM or GCC compiler
Performance analysis, tuning, and debug using Linux-based profiling tools: perf events, hot-spots, call stacks, Ftrace
Experience in using debugging tools such as JTAG, Trace32 and oscilloscope/Logical Analyzer.
Strong development skills in C++ and Python
Excellent communication skills (written and verbal) and team player
Exposure on Automotive product development is a plus
Experience with Automotive Software development
Exposure to Hypervisors and Virtualization
Understanding of ARM architecture
Experience with System performance profiling and optimization
Frequently transports between offices, buildings, and campuses up to ½ mile.
Frequently transports and installs equipment up to 5 lbs.
Performs required tasks at various heights (e.g., standing or sitting).
Monitors and utilizes computers and test equipment for more than 6 hours a day.
Continuous communication which includes the comprehension of information with colleagues, customers, and vendors both in person and remotely.
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Applications Engineering, Software Development experience, or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Applications Engineering, Software Development experience, or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience.
• 4+ years of experience with Programming Language such as C, C++, Java, Python, etc.
• 3+ years of experience with debugging techniques.
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.
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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.
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