Machine Learning Performance Engineers
Qualcomm Technologies, Inc.
Corporate Research & Development at http://www.qualcomm.com/about/research
Engineering – Systems
California – San Diego
North Carolina – Raleigh
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 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.
We are looking to staff engineers at multiple levels in systems & software, integration and test. Details of one of the roles we are looking to staff are listed below.
Desired Skills and Aptitudes
+ 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
Required: Bachelor’s, Computer Engineering and/or Electrical Engineering
Preferred: Master’s, Computer Engineering and/or Electrical Engineering
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.
Who is Qualcomm, and what do we do? We are engineers, scientists and business strategists. We are from many different countries and speak many different languages. We come from diverse cultures and have unique perspectives. Together, we focus on a single goal—invent mobile technology breakthroughs.