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Added 14 hours ago
Researcher – Parallel Computing
Huawei Technologies Canada Co., Ltd.
Vancouver, BC
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Huawei Technologies Canada Co., Ltd.

Researcher – Parallel Computing

Vancouver, BC, Canada

On-site

The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience and demonstrated expertise. · Full-time

Within 25 km of Burnaby · About 12.3 km from the city centre

Apply on huaweicanada.recruitee.com About employer

Applications open in a new tab.

Job details

Pay: The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience and demonstrated expertise.
Job type: Full-time
Workplace: On-site
Posted: Jan 19, 2026

Original job description

Huawei Canada has an immediate permanent opening for a Researcher.

About the team:

The AnShi Lab focuses on developing next-generation gateway software architecture by prioritizing file security and software innovation. The focus is on conducting mid- and long-term research to create high-value patents and guide datacom gateway development. The goal is to establish industry benchmarks through cloud-based, intelligent software engineering. By leveraging local resources and fostering talent, we aim to build a high-performance technical expert team, improving both organizational vitality and personnel capabilities.

About the job:

Analyze the performance characteristics and scalability limitations of our current network gateway policy engine and explore parallel algorithms for rule lookup and incremental updates on GPUs and heterogeneous CPU/GPU or multi-core CPUs systems.
Investigate hybrid CPU/GPU designs similar to high-speed DPI and pattern-matching systems.
Design and evaluate new data structures for network gateway rule matching.
Implement solutions in C/C++ and optimize them to production-quality standards (performance, robustness, and maintainability).
Work closely with network gateway product and malware research teams to implement and integrate the new engine/solution into real products.
Collaborate on patents and, where appropriate, academic or industry publications.
Participate in other malware research projects as per job needs.

The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience and demonstrated expertise.

About the ideal candidate:

Ph.D. (an asset) or Masters degree in Computer Science, Electrical & Computer Engineering, Mathematics, or a closely related field, with a focus on systems, high-performance computing, or databases, or equivalent research experience.
Experience with two or more of the following:

Hybrid CPU/GPU systems (e.g., dynamic switching between CPU-only and hybrid modes), parallel computing, high performance computing

SIMT

AI Compiler

GPU programming in either (CUDA, HIP, OpenCL) or other accelerators

Strong programming skills in C/C++ with experience writing performance-efficient code.

Good understanding of:
1. Algorithms and data structures

2) Computer architecture (caches, memory hierarchy, etc.)

Having experience in the following is an asset:

Malware analysis/detection

Experience in LLM/GNN/ML with good understanding of the math fundamentals

TCP/IP Network stack

Apply on huaweicanada.recruitee.com About employer

More about this job

Responsibilities

The Researcher at Huawei will study how to make network gateway rule matching faster on GPUs and multi-core processors, design new data structures, and build production-quality C/C++ code. They will work with product and malware research teams and help write patents and publications.

Requirements

Candidates need a Master's (or PhD, an asset) in computer science, electrical engineering, mathematics or a related field, plus experience with two or more of: hybrid CPU/GPU or parallel computing, SIMT, AI compilers, and GPU programming (CUDA, HIP, OpenCL). Strong C/C++ and performance-focused coding are required.

Skills

C++
C
CUDA
HIP
OpenCL
GPU programming
hybrid CPU/GPU systems
parallel computing
high performance computing
SIMT
AI compilers
parallel algorithms
data structure design
algorithm design
computer architecture
caching and memory hierarchy
performance optimization
network gateway policy engines
deep packet inspection
pattern matching
malware detection
TCP/IP network stack
LLM
GNN
machine learning

Keywords

Researcher
parallel computing
C++
C
GPU programming
CUDA
HIP
OpenCL
hybrid CPU/GPU
high performance computing
SIMT
AI compiler
network gateway
DPI
pattern matching
malware analysis
data structures
algorithms
computer architecture
TCP/IP

Tools

CUDA
HIP
OpenCL
C
C++

Languages

English

Fields of study

Computer Science
Electrical & Computer Engineering
Mathematics

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