【Intel 上海全职】Big Data Software Engineer

Location:Shanghai
Contact:tingting.zhang@intel.com

Job Description:
The position involves carrying out performance analysis, tuning and optimization for big-data workloads benchmarks using the Apache Hadoop and Spark projects. This includes benchmarks such as HiBench, BigBench aka TPCx-BB and new upcoming workloads and models in machine-learning and deep-learning.
You will also get an opportunity to collaborate with ISV/OEM and Cloud Service Provider partners to analyze their workload’s behavior to identify and resolve performance hotspots. To do this, you will learn and use state-of-the-art Linux and Hadoop/Spark tools and techniques and work with experts in the open-source and server platform communities.
The job scope may include:
- Participate in product concept readiness proving by implementing prototype, or collecting and analyzing data
- Implement, deliver and refine product features independently
- Collect, analysis, and improve product performance independently
- Work closely with colleagues to collect requirement, solve technical issue or share knowledge.
- Deliverables include technical reports, conference papers, blog articles to demonstrate IA platform leadership for performance.

Qualifications:
- Bachelor degree or above in Computer Science (or related with Computer field).
- Solid on at least one of the following programming languages: Python/Scala, C/C++/JAVA, Shell.
- Familiar with deep learning conception and algorithm.
- Experience in Spark/Hadoop is a plus.
- Experience in deep learning frameworks is a big plus such as Caffe, TensorFlow, Torch, Theano, MXNet.
- Good communication skills.
- Comfortable with working in a fast paced environment.
- Strong self-learning capability in different technical areas.

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