Senior Software Applications Engineer – Autonomous Driving

Overview

Company:Qualcomm Technologies, Inc.

Job Area:Engineering Group, Engineering Group > Software Applications Engineering

Job Overview:

Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age – and this is where you come in.

GENERAL SUMMARY

Qualcomm is a company of inventors that unlocked 5G – ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5G’s potential into world-changing technologies and products. This is the Invention Age – and this is where you come in. Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of automotive infotainment, ADAS and autonomous driving platforms.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:Closely collaborate with Camera domain/technology experts to define the specifications, lead the software design/implementation for enabling new features, 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.Minimum Qualifications:Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.2+ years Software Engineering or related work experience.2+ years experience with debugging techniques.2+ years experience with Programming Language such as C, C++, Java, Python, etc.Preferred Qualifications:Master’s degree in Engineering, Information Systems, Computer Science, or related field.4+ years Software Engineering or related work experience.Working knowledge of operating systems like QNX, Linux, Android and other RTOSsKnowledge of frameworks and SDKs for Vision/Deep Learning (eg. OpenCV, OpenCL, PyTorch, TensorFlow, Caffe 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.Excellent issue triage and Debugging skillsQuick Adaptability to work in new technologies.Experience with Multitasking systems and architectureExperience executing, analyzing, and optimizing neural networks in TensorFlow, Caffe2, PyTorch or similar frameworksExperience executing, analyzing, and optimizing quantized neural networks.Background and understanding of neural network operators and mathematical operations: linear algebra, math libraries, desirableExperience with industry standard and emerging ML benchmark suites such as MLPerf desirableExperience / understanding of machine learning execution engines such as Glow, ONNX Runtime, SNPE, TF Lite or similar a plusExperience with machine learning accelerators and related software a plusStrong skills in analyzing 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 compilerPerformance analysis, tuning, and debug using Linux-based profiling tools: perf events, hot-spots, call stacks, FtraceExperience in using debugging tools such as JTAG, Trace32 and oscilloscope/Logical Analyzer.Excellent communication skills (written and verbal) and team playerExposure on Automotive product development is a plusExperience with Automotive Software developmentExposure to Hypervisors and VirtualizationUnderstanding of ARM architectureExperience with System performance profiling and optimizationPhysical Requirements: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.

Qualcomm is a company of inventors that unlocked 5G – ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5G’s potential into world-changing technologies and products. This is the Invention Age – and this is where you come in. Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of automotive infotainment, ADAS and autonomous driving platforms.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:

+ Closely collaborate with Camera domain/technology experts to define the specifications, lead the software design/implementation for enabling new features, 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.

Minimum Qualifications:

+ Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.

+ 2+ years Software Engineering or related work experience.

+ 2+ years experience with debugging techniques.

+ 2+ years experience with Programming Language such as C, C++, Java, Python, etc.

Preferred Qualifications:

+ Master’s degree in Engineering, Information Systems, Computer Science, or related field.

+ 4+ years Software Engineering or related work experience.

+ Working knowledge of operating systems like QNX, Linux, Android and other RTOSs

+ Knowledge of frameworks and SDKs for Vision/Deep Learning (eg. OpenCV, OpenCL, PyTorch, TensorFlow, Caffe 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.

+ Excellent issue triage and Debugging skills

+ Quick Adaptability to work in new technologies.

+ Experience with Multitasking systems and architecture

+ Experience executing, analyzing, and optimizing neural networks in TensorFlow, Caffe2, PyTorch or similar frameworks

+ Experience executing, analyzing, and optimizing quantized neural networks.

+ 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, SNPE, TF Lite or similar a plus

+ Experience with machine learning accelerators and related software a plus

+ Strong skills in analyzing 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.

+ 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

Physical Requirements:

+ 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.

Minimum Qualifications

Education:

Bachelors – Computer Science, Bachelors – Engineering, Bachelors – Information Systems

Work Experiences:

2+ years experience with debugging techniques., 2+ years experience with Programming Language such as C, C++, Java, Python, etc., 2+ years Software Applications Engineering, Software Development experience, or related work experience.

Certifications:

Skills:

Preferred Qualifications

Education:

Work Experiences:

Certifications:

Skills:

Android, Computer Software Programs, Embedded Device Drivers, Embedded Linux, Software Applications

Applicants: If you are an individual with a 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 to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm is an equal opportunity employer and supports workforce diversity.

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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.

If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

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