Malware Researcher Intern

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.

Qualifications

• PhD (preferred) or master’s degree in Computer Science or a related field.
• Experience with network traffic analysis, network protocol analysis, protocol reverse engineering and anomaly detection.
• Experience with malware analysis, ant-virus, Machine Learning AV, reverse engineering, IDA, OllyDbg, URL filter, Anti-spam, Botnet and X86 Assembly language.
• Understand data analysis, big data frameworks, Hadoop/Storm/Spark, cloud automation, infrastructure-as-code and containers.
• Nice to have Linux Kernel architecture, Linux System architecture, TCP/IP network stack, Netfilter packet traversal and socket programming.
• Nice to have strong experience with Windows system internals, Windows Driver Framework, Windows Driver Model, WinDbg, NDIS/TDI, Minifilter, SSDT hooking, process monitor, registry monitor, memory forensics, etc.
• Nice to understand x86-64 CPU architecture and memory management.
• Nice to have experience with X86 virtualization, hypervisor (XEN, KVM and QEMU), WINE, compiler, Flex/Bison, BinPac and LLVM.
• Individual and team work, excellent intercultural communication and coordination skills.
• Fluency in English (written and spoken).