Optibus is passionate about the future of mass transit – we want more people to use it, and we believe it should take center stage as the world of mobility changes around us.

Our vision is to be the technology engine behind better and more efficient means of mass transit, making it the first choice for passengers and cities alike.

Our technology is at the center of making this happen, with a unique combination of AI and optimization algorithms,  since better scheduling and operations make for better mass transit service, for all. We’re a well-funded startup that’s quickly becoming a leader in the space – and our culture reflects this: we like fun and super smart people, and we’re pretty serious about making mass transit radically better.

Senior Optimization Algorithm Developer

Tel Aviv

About The Position

Optibus is passionate about the future of mass transit – we want more people to use it, and we believe it should take center stage as the world of mobility changes around us.

Our vision is to be the technology engine behind better and more efficient means of mass transit, making it the first choice for passengers and cities alike. Our technology is at the center of making this happen, with a unique combination of AI and optimization algorithms, since better scheduling and operations make for better mass transit service, for all. We’re a well-funded startup whose product is deployed at more than 300 cities worldwide, and we are quickly becoming a leader in the space – and our culture reflects this: we like fun and super smart people, and we’re pretty serious about making mass transit radically better.

We are looking for an optimization expert to join our team, an optimization engineer who has a vast hands-on experience and a deep knowledge of optimization problems with a specific focus on optimization techniques, search algorithms, and integer programming

Examples of stuff you will own:

  • Develop optimization algorithms for large scale optimization problems that involve millions of constraints
  • Develop search algorithms that increase the solution space, and quickly improve solutions
  • Improve existing algorithms, for better run time and scale

Requirements

  • Hands on experience with optimization solvers for integer programming, such as Cplex, Gurobi
  • Vast knowledge of convex optimization
  • Should be up to date with theoretical advances and publications in the field
  • Graph data structures and algorithms
  • At least 3 years of experience in the fields of Discrete and Convex optimization
  • M.Sc/Ph.D degree in Math, Physics, Computer Science or related

It will be great if you have:

  • Production grade programming especially programming in Python
  • Advanced integer programming techniques such as column generation, lagrangian relaxations, etc.
  • Experience with search algorithms and heuristics

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