The Role
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 will you be doing?
- Manage and enhance the continuous integration and testing environment for the Gurobi optimization engine.
- Ensure the infrastructure supports efficient and reliable testing across multiple platforms and programming languages.
- Design and implement domain-specific tests for mathematical optimization areas such as mixed-integer, linear, and nonlinear optimization.
- Collaborate with the development team to validate our internal algorithms' mathematical and numerical correctness.
- Oversee and optimize test execution pipelines to ensure timely feedback on code changes and feature development.
- Troubleshoot and resolve issues related to test failures or performance bottlenecks.
- Evolve into a key contributor to the Gurobi Optimizer codebase.
- Collaborate with development team to maintain high code quality and ensure sufficient code coverage for existing and new features.
- Leverage on-premise compute infrastructure for testing purposes, focusing on software APIs and algorithmic correctness.
- Occasionally utilize cloud infrastructure for CI/CD tasks, ensuring seamless integration and reliability.
- Work closely with the development and IT teams to align testing efforts with product development goals and quality standards.
- Participate in team discussions and initiatives to improve testing methodologies and tooling.
- Uphold the highest quality standards for the GurobiOptimizer, ensuring robustness, performance, and reliability.
What experience and qualifications should you have?
- Master's degree or equivalent in Mathematics, Scientific Computing, or Engineering
- Background in mathematical optimization software with a minimum of 3 years of experience
- Strong knowledge of mathematical programming, particularly in linear and integer programming
- Strong understanding of unit testing methodologies
- Proficiency in Python and proficiency in at least one other programming language
- Familiarity with GNU toolchain (make, gcc/g++, etc.) and the standard Unix development environment
- Proficiency in both written and spoken English
- Excellent communication skills
What other qualifications or skills would be appreciated?
- PhD in Mathematics, Operations Research, or a related field
- Proficiency in C, C++, Java, .NET, MATLAB, R, and bash scripting
- Familiarity with CI/CD tools such as Jenkins, Nexus, and others
- Experience with virtualization and containerization tools like VMware, Parallels, Docker, and Kubernetes (K8s)
- Intrinsic motivation to learn Continuous Integration/Continuous Deployment (CI/CD)
- Familiarity with typical GitHub-based development processes
- Proficiency in debugging tools like gdb, pdb, and valgrind
- Familiarity with Windows, Linux and macOS operating systems
Your Alignment with our Gurobi Core Values:
- Customer Focus: Verbal & written communication skills that bring clarity and build trust.
- Power of the Team: Motivated with a team-oriented mindset that aims to both inspire and be inspired by others.
- Innovation: The courage to bring ideas forward and see yourself as an integral part of our global team.
- Dedication: Organized and agile, focusing on meeting professional objectives while promoting a healthy work/life balance.
- Integrity: Promise to uphold honesty as your compass and conduct all business practices with an ethical mindset and fiscal responsibility.
Gurobi Optimization is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, or any other characteristic protected by law.
Gurobi Optimization is an E-Verify employer. As part of our hiring process, we utilize the federal E-Verify program to verify the employment eligibility of all newly hired employees. For additional information regarding E-Verify, please visit www.e-verify.gov.
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The Company
What We Do
Gurobi produces the world’s fastest and most powerful mathematical optimization solver – the Gurobi Optimizer – which is used by leading global companies across more than 40 different industries to rapidly solve their complex, real-world problems and make automated decisions that optimize their efficiency and profitability.
As the market leader in mathematical optimization software, we aim to deliver not only the best solver, but also the best support – so that companies can fully leverage the power of mathematical optimization (on its own or in combination with other AI techniques such as machine learning) to drive optimal business decisions and outcomes.
