1.HDL and C/C++ are mandatory;
2.Familiar with Xilinx or Altera FPGA architectureand the EDA tools;
3.Especially need the knowledge/understandingabout the parallelism of FPGA;
4.Experience in algorithm acceleration on FPGA isa big plus;
5.Independent quick-learning and great passion.
Job description(工作内容):
1.Investigate various cutting-edge DL algorithmsacross many application areas on different DL frameworks;
2.Help the team reproduce and step through theend-to-end process of chosen DL algorithms;
3.Deeply understand the emerged neural networktopologies and their best-known optimization methods on FPGA;
4.Participate in the design and development of thecompetitive DL acceleration solution for FPGA.
1.Knowledge and practice in machine learning,familiar with concepts like regression, sampling, Gaussian mixture model,Bayesian analysis, etc.
2.Knowledge of probability theory, familiar withconcepts like discrete/continuous distributions, Bernoulli/Poisson/Markovprocesses, cross entropy, etc.
3.Strong programming skills (C/C++/Python) , solidfoundation in algorithm design and analysis.
4.Knowledge of reinforcement learning should bepreferred.
5.Knowledge of tools like Tensorflow, Matlab,OpenGL, OpenCV, CMake etc. should be preferred.
6.Knowledge/practice of parallel computing language (CUDA/OPENCL)should be prefer.
Job description (工作内容):
1.Investigate and implement the frontier scientific research worktarget to tasks of computing vision (3D, VR) /AI (DL, DRL, NLP).
2.Develop high performance prototype system for further researchand product reference.
AIWeb services and Apps (AI web service框架和应用)
Qualification(要求):
1.Familiarwith Java, JavaScript, python etc.
2.Experiencewith Spring, Redis, MongoDB
3.You shouldbe able to available in next 6 months
4.You shouldbe a good team player
Job description(工作内容):
1.Develop andmaintain the framework (frontend and backend) for Web services
2.Add new featuresbased on new scenarios
NLPAlgorithms (自然语言处理算法研发)
Qualification(要求):
1.Familiarwith C/C++ and python languages
2.Familiar withNLP algorithms (word2vec, LSTM, attention mechanisms, CNN)
3.Knowledgeand interests in NLP and machine/deep learning
4.Experiencewith TensorFlow, Torch
5.Experience inNLP/Machine learning/Knowledge graph is preferred
6.Good atteam working
Job description(工作内容):
1.ResearchNLP models to understand the sentence and contexts based on differentscenarios.
2.Research NLPmodels to do NER tasks.