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Autonomy Engineering

Cambridge, Massachusetts

Data Science at Boeing

We’re looking for Data Scientists who can harness the power of data to help us create new innovations in aerospace. You’ll use advanced analytics to build the future.

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At A Glance

What does it take?

What makes a successful Data Science employee? Check out the info to the right to see if you have what it takes.

Success Profile

  • Analytical
  • Collaborator
  • Strategic
  • Innovator
  • Problem-solver
  • Results-driven


  • Bonus!

    Most employees are eligible for an annual incentive award.

  • Skill Up

    Unlimited access to online lessons, certification courses and degree-seeking programs.

  • Parental Leave

    12 weeks paid parental leave.

  • Mega Match

    Our 401(k) plan features generous matching and company contributions (up to 11 percent!).

  • Back to School

    Generous funding for hundreds of accredited colleges and universities (up to $25,000 per year for many programs; up to 100% for eligible STEM-studies).

  • Give Back

    Up to $10,000 in donations and volunteer matching per year.

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Autonomy Engineering

Job ID 1946 Date posted 08/06/2018
Location Cambridge MA
Job Description

Position Overview

We are seeking experts and explorers in the areas of perception and sensor fusion, machine learning, human-collaborative engineering, big data, deep learning, novel algorithm development for breakthrough autonomy, mathematics, GPU computing, embedded systems, adaptive control, flight control and trajectory planning, modeling and simulation, and related fields.  Cross-disciplinary interests are highly sought and unique initiatives are encouraged. 



  • B.S. or M.S. in aerospace, mechanical, or electrical/computer science engineering with an aerospace controls and/or autonomy emphasis. A Ph.D. is preferred.
  • Demonstrated relevant industry experience.
  • Requires excellent English written and oral communications skills.  
  • Requires strong interpersonal skills and demonstrated success working in and contributing to a highly collaborative environment.
  • Focused expertise and ability to apply one or both of:
    • Classical and advanced state estimation and flight control concepts and methods and/or 
    • Trajectory, route, and mission planning algorithms. 
  • Ability to set up, utilize, and maintain simulation and hardware-in-the-loop environments to develop, validate, and implement algorithms and software for real-time flight systems.
  • Knowledge of state of the art in optimization methods.
  • Strong C and C++ software development skills, especially in a Linux environment.​​

Desired Experience

  • Experience in machine learning, artificial intelligence, multi-agent collaborative control and planning algorithms.
  • Experience in image-processing, embedded systems, ROS, OMS, or FACE open-systems architectures.  
  • Experience with dynamic modeling of helicopter and/or fixed-wing dynamics, as well as stability and control analysis.
  • Experience in aerial manipulation and/or conventional robotic manipulation.
  • Experience with test planning and execution.
  • Experience in model-based aircraft control.
  • Strong skills in Simulink and Stateflow, especially auto-coding.
  • Military and/or UAV experience is a plus



Aurora Flight


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