Fully Homomorphic Encryption Researcher
Waterloo, 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’s Waterloo Research Center is actively involved in cutting-edge research in the areas of data security and privacy protection for enterprise, mobile, IoT devices and AI engines among others. The Data Security & Privacy Research Team is looking to hire a homomorphic encryption researcher to join a rapidly growing team of experts who define the next generation of Huawei’s security technologies.
+ Research, design and build PoC data privacy/security protection algorithms;
+ Research, communicate, and document state-of-art in academia and in industrial in data security and privacy (FHE related);
+ Write design and test documents.
Qualifications
- Master degree or above in Computer Science or Electrical Engineering.
- Must have 3+ years of experience in (fully) homomorphic encryption design, implementation and optimization.
- Experience in group theory, lattice-based cryptography, computer arithmetic, and high-performance computing.
- Have a good understanding of (fully) homomorphic encryption algorithms like BGV, BFV, and CKKS etc.
- Have a good understanding of (fully) homomorphic encryption operations like key switching, slot rotation/permutation and bootstrapping.
- Self-starter, produces good quality code with proper testing and internal documentation
- Ability to quickly analyze and grasp key concepts in hardware specification documents, academic publications and industry white papers
Nice-to-haves
- Experience with (fully) homomorphic encryption libraries (e.g. SEAL, HElib) and other (F)HE applications.
- Experience with cryptographic hardware accelerator implementation (e.g. ECC, ECDHA, RSA)
- Knowledge of GPU acceleration for ML applications
- Experience with cryptographic libraries (e.g. OpenSSL, LibreSSL, mbed TLS)
- Experience with server hardware virtualization technologies such as KVM/QEMU or Xen
- Experience with isolation technologies, such as secure containers / sandboxing at both the system and application levels beneficial.
- Knowledge of trusted execution environments (TEE) such as ARM TrustZone or Intel SGX
Additional Information
We thank all applicants for their interest, however only those candidates selected for interviews will be contacted.
Tags: Cloud Computer Science Cryptography Encryption Industrial KVM Privacy R&D RSA TLS
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