Optimization Engineer

5 days ago

Pune, Maharashtra, India TekPillar Services Pvt. Ltd Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Role : Optimization Engineer - C / OR

Experience : 3 to 8 Years

Location : Pune, Delhi, Bangalore

Were looking for an experienced Optimization Engineer with strong skills in C programming and a solid foundation in Operations Research / Optimization. The role involves developing high-performance algorithms and models to solve complex computational and business challenges.

Key Responsibilities :

- Design, develop, and maintain optimization algorithms and software solutions using C for performance-critical systems.

- Build and implement mathematical programming models (linear, integer, mixed-integer, and nonlinear).

- Analyze business or engineering challenges and formulate computationally efficient optimization strategies.

- Work with teams in data science, engineering, and operations to deliver measurable impact.

- Benchmark and fine-tune algorithmic performance for scalability and robustness.

- Apply Operations Research methodologies - mathematical programming, heuristics, metaheuristics, and simulation - to complex problem-solving.

- Ensure clean, maintainable code with proper documentation, unit testing, and version control.

Required Skills & Qualifications :

- Bachelors/Masters degree in Computer Science, Engineering, Operations Research, or Applied Mathematics.

- Strong hands-on experience in C programming, including data structures, algorithms, and memory management.

- Solid understanding of optimization modeling and operations research techniques.

- Practical experience with optimization libraries such as CPLEX, Gurobi, or COIN-OR.

- Ability to translate real-world problems into computational models and develop efficient solvers.

- Proficiency in code optimization, debugging, and performance tuning.

- Excellent analytical, problem-solving, and communication skills.

Preferred Skills :

- Experience with Python, C , or Java for integration or prototyping.

- Knowledge of AMPL, GAMS, or other mathematical modeling environments.

- Familiarity with parallel computing, multi-threading, or HPC frameworks.

- Exposure to industries such as logistics, finance, energy, or telecommunications, where optimization is key.

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