Job Summary: 

 The Simulations Tools Engineer, works closely with hardware, systems and software engineers to develop the visual simulation tools used for the creation, analysis, calibration and verification of autonomous robotic distribution systems. The Simulations Tools are critical to accelerate development, test “what if, why not?” questions, support investment decisions and communicate risk and confidence to the team including senior executives.

Job Expectations: 

• Partners directly with Software Engineers 
• Works closely with Systems & Industrial Engineers to create layout of future Fulfillment Centers
• Develops simulation tools roadmap and tools architecture
• Analyze and quantify simulation data to provide actionable feedback that influences the design and operation of plants
• Create simulation tools that visualize in 2D the physical FC system
• Create simulation tools that visualize in 2D the physical network
• Create network traffic analysis tools for the physical network that helps balance resource (FC) deployment and technology investment
• Initial task will include simulating existing FC to calibrate models
• Create and implement the specifications for simulation tool set
• Present output of sim tools to influence strategic investment
• Train others on data modelling
• Work cross functionally with different engineering teams(Hardware,Software,Mechanical)
• Other duties as assigned

Knowledge, Skills and Abilities:

• Background in Data Analysis, Traffic Management, etc.
• Strong foundations in applied linear algebra to handle vectors, matrices and transformations 
• Experience with search based motion planning algorithms such as SL graph, A*, RRT, RRT*, probabilistic planners, lattice-based planners
• Deep understanding and practical experience in full planning stack from top level route planners to low level controllers
• C++ programming and algorithm design
• Ability to quickly mature theoretical concepts to into real-world solutions
• Desire to work independently on challenging assignments 
• Experience with developing capabilities for game engine environments, such as Lumberyard, Unity3d, Unreal, CryEngine, Havok and/or other world simulation environments
• Understanding of Machine Learning & Neural Networks

Education and Experience:

• Requires a minimum of 4+ years professional experience analytics applied mathematics or simulations development
• Advanced degree in Mathematics, Computer Science or Electrical Engineering required.

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