AIRO Young Opportunity
Expires
15 Apr 2021
Institution
Huawei Cloud Business Unit, Munich Research Center
Country
Germany
Description
The Huawei Cloud Business Unit at the Munich Research Center is looking for a Team Lead and multiple (Senior) Researcher positions in Mathematical Programming.
Main Responsibilities
- Research, design, implement, and improve a highly-efficient general-purpose optimization solver for Linear Programming, Mixed Integer Programming, and Constraint Programming problems
- Convert customer demands into solver features end-to-end, including definition, implementation, testing, and documentation
- Code reviews, presentations (internal and public)
Requirements
- M.S. or Ph.D. in operational research, mathematics, computer science, or similar technical field
- In-depth understanding of optimization algorithms for linear programming and mixed integer programming. Extensive experience in implementation of these algorithms
- Experience in algorithm design and implementation in C/C++
- Good knowledge of Python and Java is a plus
- Experience in concurrent/distributed/parallel computing is a plus
- Direct experience of using commercial or open-source optimization solvers, such as SCIP, CPLEX, GUROBI and CBC is a plus
- Experience in industry problem solving is a plus
- Working experience in major commercial optimization programming solver companies is highly preferred
- Major contributors or project leaders of open-source optimization solvers like SCIP, CBC are highly preferred
- Major contributors or project leader of high performance mathematical software, numerical linear algebra package (commercial or open-source) are preferred
- Fluent in written and spoken English
The official job posting and application link can be found at: https://apply.workable.com/huawei-16/j/7786DFD797/
Feel free to contact me directly for (informal) inquiries at victor.m.alvarez@huawei.com.
Main Responsibilities
- Research, design, implement, and improve a highly-efficient general-purpose optimization solver for Linear Programming, Mixed Integer Programming, and Constraint Programming problems
- Convert customer demands into solver features end-to-end, including definition, implementation, testing, and documentation
- Code reviews, presentations (internal and public)
Requirements
- M.S. or Ph.D. in operational research, mathematics, computer science, or similar technical field
- In-depth understanding of optimization algorithms for linear programming and mixed integer programming. Extensive experience in implementation of these algorithms
- Experience in algorithm design and implementation in C/C++
- Good knowledge of Python and Java is a plus
- Experience in concurrent/distributed/parallel computing is a plus
- Direct experience of using commercial or open-source optimization solvers, such as SCIP, CPLEX, GUROBI and CBC is a plus
- Experience in industry problem solving is a plus
- Working experience in major commercial optimization programming solver companies is highly preferred
- Major contributors or project leaders of open-source optimization solvers like SCIP, CBC are highly preferred
- Major contributors or project leader of high performance mathematical software, numerical linear algebra package (commercial or open-source) are preferred
- Fluent in written and spoken English
The official job posting and application link can be found at: https://apply.workable.com/huawei-16/j/7786DFD797/
Feel free to contact me directly for (informal) inquiries at victor.m.alvarez@huawei.com.