Start Date
Immediate
Expiry Date
14 Aug, 25
Salary
0.0
Posted On
14 May, 25
Experience
3 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
C++, Kubernetes, Windows, Parallels, Mathematics, Scientific Computing, Linux, Valgrind, Jenkins, Optimization Software, Matlab, Pdb, Nexus, English, Docker, R, Operating Systems, Python, Vmware, Macos, C, Mathematical Programming, Java, Communication Skills
Industry
Computer Software/Engineering
At Gurobi Optimization, we’re on a mission!
A mission that focuses on mathematical optimization. We empower our customers to expand their use of mathematical optimization technology in order to make smarter decisions and solve some of the world’s toughest and most impactful business problems. We’re looking for passionate, dedicated, innovative game-changers to join our team and drive the future of Gurobi.
As a Mathematical Optimization Quality Assurance (MOQA) Engineer at Gurobi Optimization, you will collaborate closely with the Gurobi Research and Development (R&D) and Information Technology (IT) teams.
Your main role will involve enhancing and maintaining the continuous integration and testing environment for the GurobiOptimizer to ensure our product meets the highest quality standards. This includes developing domain-specific tests (such as mixed-integer, linear optimization, nonlinear optimization), monitoring test execution pipelines, and gradually contributing to the Optimizer’s codebase. You will work with the team to achieve comprehensive code coverage for current and upcoming features.
Since the Gurobi optimization engine is primarily integrated into other software systems without a graphical user interface, your focus will be on automating tests using software APIs and ensuring the mathematical correctness and the numerical accuracy of our internal algorithms.
Our CI infrastructure supports multiple platforms and programming languages. For CI purposes, you will primarily utilize our diverse on-premise computing resources, with minimal use of cloud infrastructure.
WHAT EXPERIENCE AND QUALIFICATIONS SHOULD YOU HAVE?
WHAT OTHER QUALIFICATIONS OR SKILLS WOULD BE APPRECIATED?