**Job Id** E1958209
**Job Title** System Integration & Test Engineer – Machine Learning (Qualcomm Research)
**Post Date** 11/28/2017
**Company-Division** Qualcomm Technologies, Inc.
Corporate Research & Development at http://www.qualcomm.com/about/research
**Job Area** Engineering – Systems
**Location** California – San Diego
**Job Overview** We are looking for talented test engineers with experience in machine learning to enable embedded deep learning. We solve challenging problems to improve speed, accuracy, power-consumption and latency of deep networks. Optimize state-of-the-art networks to run on mobile platforms in real-time. Come join an amazing team of engineers building best-in-class solutions for computer vision, speech processing and video processing. You will get a chance to learn latest cutting-edge technologies in machine learning and new emerging applications. You will participate in each step of the development process and drive quality improvements. Your responsibility will be to plan, measure and provide feedback on the quality of neural processing engine (NPE) SDK tools developed by the team. You will also validate the performance and accuracy of the engine through detailed analysis and test coverage. Strong communication and interpersonal skills are required and must be able to work well with others in a technical environment.
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
+ software development and debugging skills.
+ 3+ years of experience in Android or embedded Linux application development
+ Coding Skills: Python, C/C++, or Android programming
+ Industrial experience in machine learning, or multimedia areas, or Robotics, or AI
+ Experience on Neural networks and AI/machine learning methods
+ Experience in deep neural networks (CNN, DBN, RNN, DCN).
+ Experience implementing deep-learning algorithms in a high-level languages/packages (e.g. C++, Java, MATLAB, or Python)
+ Deep learning frameworks Caffe, TensorFlow, Torch Experience with DNNs, CNNs, RNN/LSTM neural networks.
**Education Requirements** Required: Bachelor’s, Computer Engineering and/or Computer Science
Preferred: Master’s, Computer Engineering and/or Computer Science
**EEO employer: including race, gender, gender identity, sexual orientation, disability & veterans status.**
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.