Huawei | Algorithm researcher, Huawei Cloud | Full Time | ONSITE (Moscow, Russia)
Here in Huawei Moscow Research Center we work on optimization problems that arise in all projects of our company. Our particular team is responsible for core Huawei Cloud (https://www.huaweicloud.com/intl/en-us/product/ecs.html) algorithms, such as optimal placement and migration of virtual machines over physical hosts, batch job scheduling, network flow/congestion control, load forecasting and so on. We have never-ending stream of NP-hard problems and use a variety of methods to deal with them: network/graph algorithms, LP solvers, evolutionary algorithms, and, of course, a lot of heuristics. We are researchers: we do not have bugtacker, scrum or devops.
Perfect candidate would be a veteran software engineer who feels overqualified to be a part of modern coding pipeline and instead would like to shift to more demanding disciplines, namely algorithms and applied math.
Minimal requirements are the following:
* good knowledge of classical Cormen-style computer science
* ability to solve math test in relaxed pace (it is not very hard, but still of university level)
* diploma of one of the top local universities
* motivation to work as a researcher (this is important!)
We also expect candidates to have one of the following:
* proficiency in C++
* experience with math. optimization methods
* experience in building distributed systems
* PhD diploma and/or publications
If you are interested, please contact me at gudkov.andrei@huawei.com. First step of hiring process is informal talk over the phone with me and other team members.
We can provide relocation from other areas of Russia and from majority of CIS countries.
Here in Huawei Moscow Research Center we work on optimization problems that arise in all projects of our company. Our particular team is responsible for core Huawei Cloud (https://www.huaweicloud.com/intl/en-us/product/ecs.html) algorithms, such as optimal placement and migration of virtual machines over physical hosts, batch job scheduling, network flow/congestion control, load forecasting and so on. We have never-ending stream of NP-hard problems and use a variety of methods to deal with them: network/graph algorithms, LP solvers, evolutionary algorithms, and, of course, a lot of heuristics. We are researchers: we do not have bugtacker, scrum or devops.
Perfect candidate would be a veteran software engineer who feels overqualified to be a part of modern coding pipeline and instead would like to shift to more demanding disciplines, namely algorithms and applied math.
Minimal requirements are the following:
We also expect candidates to have one of the following: If you are interested, please contact me at gudkov.andrei@huawei.com. First step of hiring process is informal talk over the phone with me and other team members.We can provide relocation from other areas of Russia and from majority of CIS countries.