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The Optimization Engineering team is tasked with developing and supporting APIs for solving a variety of different discrete optimization problems at Salesforce. The primary product use cases today are rich vehicle routing and scheduling problems. The existing APIs offer world-leading performance on benchmark data sets and power a variety of products across Salesforce. The underlying algorithms involve cutting edge combinatorial optimization and rich commercial GIS data sets. The team is seeking an Architect who will help the team continue to develop new services and support existing APIs.
The ideal candidate will have a strong academic and industrial background in the following broad areas:
Heuristic optimization algorithms and exact optimization via mixed integer programming
GIS including open source routing engines and OpenStreetMap data
Very strong C/C skills
Cloud computing
Desired specific experience in these areas is as follows:
GIS Experience
Knowledge of OpenStreetMap format
Knowledge of open source routing engines such as OSRM and Valhalla
Software Development Experience
5 years experience in C/C software development
Experience with gRPC and protobuf specification
Cloud Experience
Knowledge of Spinnaker and ArgoCD pipelines
Knowledge of Jenkins CI
Experience with AWS lambda and step functions
Experience with Istio and envoy code base
Optimization Experience
PhD in operations research, applied math, or industrial engineering
Industry experience in solving discrete optimization problems at scale
Industry experience using techniques such as simulated annealing and tabu search to solve problems at scale
Industry experience using mixed integer programming (CPLEX, Gurobi, XPress, etc) as part of overall algorithmic approach
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