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Open since Jun 2026

Senior Optimization EngineerSRP Systems · Princeton

Senior Optimization Engineer

PrincetonOn-siteFull-time

AI Summary

Senior Optimization Engineer at SRP Systems Inc focuses on solving linear and non-linear optimization problems for dynamic pricing, using built-in libraries and custom algorithms like gradient descent and genetic algorithms.

About this role

SRP is a big data startup company located in Princeton, NJ focused on Dynamic Pricing, run
by seasoned alumni from Stanford University and Wharton.

Senior Optimization Engineer: optimization involves in finding a set of values that will minimize or maximize an objective function. We are looking for an engineer that has extensive experience in handling linear and non-linear optimization problems. You must have at least 5+ years of
hands-on experience in using both built in optimization libraries and in writing your own custom optimization algorithms such as gradient descent, genetic algorithms, or similar.

SRP is a company run by alumni of Stanford, Wharton, UPenn with two plus decades of industry
experience and past startup success. We are building a product in "dynamic pricing" by combining big data and pricing. SRP is a one year old startup with existing clients, and seed funded.

Anyone that joins SRP at this stage will enjoy a decent salary and great stock options. As we are extremely picky when it comes to hiring, please apply only if you have all the skills mentioned above, if not more.

## Additional Information

This is a Full time project

Skills

Big DataCustom Optimization AlgorithmsDynamic PricingGenetic AlgorithmsGradient DescentLinear OptimizationMatlabNon-linear OptimizationObjective FunctionOperations ResearchOptimization LibrariesPython

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