Machine Learning Performance Engineer

Job Description

• The Qualcomm CR&D team is developing hardware and software solutions for the Qualcomm ADAS system. We are seeking ambitious, bright and innovative engineers with experience in software system design, autonomy, device functional safety concepts and implementations.
• 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 on a daily basis so good communication, planning and execution skills are a must.
• 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. Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of automotive infotainment and autonomous driving. We are investing in several supporting technologies including 4G, 5G, ADAS, and Deep Learning.
• The Qualcomm CR&D team is developing hardware and software solutions for the Qualcomm ADAS system. We are seeking ambitious, bright and innovative engineers with experience in software system design, autonomy, device functional safety concepts and implementations.
• 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 on a daily basis so good communication, planning and execution skills are a must.
• Minimum Qualifications Bachelors degree in Engineering, Information Systems, Computer Science, or related field.
• 2+ years Software Engineering or related work experience.
• 2+ years experience with Programming Language such as C, C++, Java, Python, etc. id= hdnMinimumQualifications >
• Bachelors degree in Engineering, Information Systems, Computer Science, or related field.
• 2+ years Software Engineering or related work experience.
• 2+ years experience with Programming Language such as C, C++, Java, Python, etc.
• Preferred Qualifications Experience executing, analyzing, 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 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
• Use of simulators, emulators, JTAG and serial debuggers, a plus
• 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 executing, analyzing, 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 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
• Use of simulators, emulators, JTAG and serial debuggers, a plus
• Strong development skills in C++ and Python
• Excellent communication skills (written and verbal) and team player
• Exposure on Automotive product development is a plus
• Education Requirements Preferred: Masters, Computer Engineering and/or Computer Science and/or Electrical Engineering Required: Bachelors, Computer Engineering and/or Computer Science and/or Electrical EngineeringPreferred: Masters, Computer Engineering and/or Computer Science and/or Electrical Engineering Keywords

Keyskills :
load testingenvironment test scriptsproduct life cycle life cyclesystem design linear algebraneural networks