Software Developer – Operations Research (AdOpt)
IBS Software (company site, opens in a new tab)3+ yrsOn-siteDirect career pageEst. 10–18 LPA
Posted 8h ago
Reach people at IBS Software
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at IBS Software you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, implement, test, and maintain solver-related software components for large-scale optimization products, with attention to correctness, runtime, and memory use.
- Analyze algorithmic bottlenecks and flaws, then propose improvements to existing methods and architectures.
- Work with R&D, product, and customer-facing teams to assess customer needs and product commitments; provide technical support and contribute to project estimates and technical documentation.
Minimum Requirements
- Work Experience Required: At least 3 years of software development experience, including software for large-scale, computationally intensive problems.
- Bachelor’s degree in Computer Science, Applied Mathematics, Operations Research, or a related field; higher degrees are an asset.
- Understanding of mathematical optimization, including LP and MILP, and familiarity with algorithms such as graph algorithms, shortest path, or dynamic programming.
- Experience with C or another low-level language, POSIX, and shell, Perl, or Python scripting.
Ideal Candidate Profile
- Has practical experience translating large-scale optimization problems into software while balancing algorithmic correctness and performance.
- Can assess solver approaches, identify bottlenecks, and contribute to design and implementation decisions in an R&D product environment.
- Has a relevant quantitative or computing background and can work across development, product, and customer-facing discussions.