Operations Research Engineer - Optimization Software Development
Burnaby, BC, 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 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.
Job Description
Huawei’s Vancouver Research Center is responsible for advanced technology research, architecture design and strategic technical planning. Our Big Data and Artificial Intelligence Lab is responsible for developing and researching next generation AI-powered decision-making platform. We believe that platforms that combine human knowledge with AI and automation technology can substantially improve the efficiency and responsiveness of decision-making process. We embrace cutting-edge technology if it improves our work or results. Our team consists of world class AI and optimization researchers and is agile with academic and industrial experience in artificial intelligences and operations research.
Responsibilities:
- Formulate, analyze and solve real-world problems originating from industrial applications, such as manufacturing, transportation, logistics, energy, and finance.
- Contribute to the design of new algorithms or to the improvement of the current tools for solving hard real-world operations research problems.
- Contribute to the design of AI-powered decision-making platform that automates decision process and is easy to rapidly implement applications and services.
- Research, develop and implement various optimization algorithms for current optimization software.
Qualifications
Applicants are expected to demonstrate a significant subset of the following knowledge and skills:
- Bachelor, Master or PhD in Operations Research, Computer Science, Computational Mathematics, or related fields.
- Experience in solving industrial-level mathematical optimization problems with applications in manufacturing, transportation, logistics, energy, finance, or related fields.
- Strong ability in mathematical modelling and problem solving techniques.
- In-depth understanding of classical mathematical optimization problems, such as linear programming, mixed-integer programming, vehicle routing problems, constraint optimization, and scheduling problems.
- In-depth understanding of classical mathematical optimization algorithms, such as simplex algorithm, interior-point algorithm, branch-and-bound, column generation, decomposition techniques, meta-heuristic algorithms, and graph algorithms.
- Experience with off-the-shelf optimization software (e.g., Gurobi, CPLEX, FICO XPress).
- Strong experience with machine learning techniques is a plus.
- Dedication to producing extremely high-quality code that meets strict performance requirements, is readable and obvious to coworkers, is easy to maintain and extend, and adheres to coding standards.
Additional Information
We appreciate your interests and would like you to understand that only a short list of candidates will be contacted.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Autonomous Driving Big Data Computer Science Finance Industrial Machine Learning Mathematics PhD R R&D Research
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