Software Engineer for R&D – Data Analytics Engine/Framework
Markham, ON, Canada
Huawei Technologies Canada Co., Ltd.
Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices.Company Description
About Huawei
With 194,000 employees and operating in more than 170 countries and regions, Huawei is a leading global creator and provider of information and communications technology (ICT) infrastructure and smart devices. Integrated solutions span across four key domains – telecom networks, IT, smart devices, and cloud services. Huawei is committed to bringing digital to every person, home and organization for a fully connected, intelligent world.
About Huawei Canada
Huawei Canada focuses on fundamental research and development aimed at solving complex technical problems in emerging technologies like 5G, AI, Human Computer Interaction and Autonomous Driving. With ongoing research initiatives with 10 Universities across Canada and strategic collaboration agreements with several Universities, we support Canada’s rich research community. In 2020, Huawei Canada ranked among the Top 20 corporate R&D investors in the country with a huge 40% increase in R&D investment year over year. Huawei Canada was established in 2008 and now has a total workforce of 1,200 in our six research centers across Canada.
Why work with Huawei Canada?
You will have the opportunity to work on real world problems that impact people across the globe. Many of our researchers are actively involved in publishing conference and journal papers, inventing patents and solving challenging technical problems. With cutting edge tools, access to highly specialized leaders and researchers, and significant funding, you will be well supported to fulfil your potential and pursue your professional dreams.
Job Description
Huawei Canada is looking for talented and enthusiastic individuals to join the Distributed Data Storage and Management Lab, based in Markham, Ontario. The Lab's mission is to lead and leverage distributed and AI technologies to create new Huawei products and services, plus improve the performance of existing products—from 5G network equipment to mobile phones, and from smart home appliances to cloud services.
To achieve these goals, we conduct research and development in a variety of areas including, but not limited to, Distributed Systems, Distributed Storage Systems, and Artificial Intelligence Platforms. This exciting position is a great opportunity to grow your skill set while solving real-world problems in a fast-paced, agile environment. Both senior and junior positions are available.
Responsibilities
- Design, develop framework/engine for the next-generation data analytics
- Analyze and optimize software system performance
- Learn and adopt new technologies; research, survey, and present industry trends to the team
- Generate innovative ideas and new patent applications
Qualifications
Minimum Qualifications:
- Proficient programming in C++ (or C)
- Satisfy at least one of the following (all areas not needed):
- 1. Experience in distributed systems
- 2. Development or research experience with data analytics frameworks (such as Spark, Flink)
- Solid grasp of fundamental concepts related to system design, such as data structures, algorithms, and operating systems
- Experience in Linux or Unix development environment
- Experience with software development tools (IDE, git) and software development life cycle
- Bachelor’s Degree in Computer Science, Computer Engineering, or another relevant discipline
Preferred Qualifications:
- Extensive knowledge of IR Design, Query Optimization, Scheduling, Runtime
- Academic publications
- Open source data analytics-related project contributor
- Master’s Degree or Ph.D in Computer Science, Computer Engineering, or another relevant discipline
- We thank all applicants for their interest, however only those candidates selected for interviews will be contacted.
Tags: Agile Autonomous Driving Computer Science Data Analytics Distributed Systems Engineering Flink Git Linux Open Source R R&D Research SDLC Spark
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