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Lead Algorithms Engineer

  • GE Corporate
  • Experienced
  • Posted 8/4/2017 1:51:02 PM
  • 2955127
  • Job Function: Engineering/Technology
  • Business Segment: Corporate Business Innovations
Location(s): United States; Massachusetts; Boston


About Us:
GE Ventures is creating a new start-up, AIROS. This Start-up will have access to unparalleled
resources through GE’s Global Research Center, GE Digital, GE Aviation Systems (GEAS) and
GE’s IoT platform, Predix, NBC team leverages GE’s operational excellence, brand and scale to
create options for breakout growth. The NEWCO is creating enabling infrastructure and robotics
technologies that promote autonomy with persistent, geospatial big data stacks.

AIROS offers a great work environment, professional development, challenging careers, and
competitive compensation. AIROS is an Equal Opportunity Employer. Employment decisions
are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation,
gender identity or expression, age, disability, protected veteran status or other characteristics
protected by law.
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Role Summary:
The Lead Algorithms Engineer will work in and execute as a technical expert to design and develop flight control and predictive algorithms based on statistical foundations. The Engineer will develop efficient algorithms for planning and scheduling and integrate novel collision avoidance technologies. The successful candidate will be skilled in developing techniques and methods to support predictive analysis and decision making in online and dynamic environment with real-time constraints.

Essential Responsibilities:
In this role, you will:
  • Work with Engineering Leadership, Product and Business Managers to understand product capability needs, and translate those into algorithm designs
  • Support the selection of context appropriate algorithms designs
  • Work as part of a cross-functional team to translate algorithm design into practical and efficient implementations for commercially viable products and services
  • Provide expertise in the development of statistically driven predictive techniques, and support their translation into online software functions
  • Support the development of and execution of novel approaches for planning and scheduling operation of autonomous systems managed by distributed agents
  • Support the development and execution of new strategies for scaling the coordinated operations of autonomous entities in environments with real-time constrains and safety concerns
  • Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes
  • Participate in industry and technical meetings to support business objectives
  • Communicate methods, findings, and hypotheses with stakeholders


Qualifications/Requirements:
  • Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 3
    years of relevant experience
  • Demonstrated expertise in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
  • Expertise in statistical data processing and algorithms
  • Knowledge of heuristic and optimal methods for planning problems
  • Understanding of prediction techniques in noisy, disrupted, and/or uncertain environments
  • Prior experience with one or more scientific/statistical computation frameworks such
    as Matlab, Python, R

Eligibility Requirements:

  • Must be willing to travel at least 10%
  • Must be willing to work out of an office located in Boston


  • Desired Characteristics:
    • PhD in Engineering or Scientific Discipline
    • Experience developing distributed algorithms
    • Experience with communicating and presenting to project/program leadership
    • Experience collaborating with external/industry partners
    • Experience developing novel and innovative technologies
    • Comfortable serving as a change agent
    • Comfortable working in ambiguous and dynamic environments


    Locations: United States; Massachusetts; Boston

    GE offers a great work environment, professional development, challenging careers, and competitive compensation.  GE is an Equal Opportunity Employer.  Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
    Apply Now    

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