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Computational Geometry Scientist

  • GE Corporate
  • Experienced
  • Posted 1/12/2018 12:51:00 PM
  • 2944484
  • 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:
Our team is creating an innovative system to coordinate operations for current and emerging Autonomous Systems that will perform a diversity of functions that will deliver new capabilities, as well as improve efficiency and safety of operations in multiple business sectors.

Essential Responsibilities:
The Computational Geometry Scientist will work in a team environment and lead efforts as technical expert to design and develop algorithms for reasoning in dynamic 3-D environments with multiscale features for support off-line and real-time decision making by distributed decision agents. The successful candidate will be skilled in developing techniques and methods to enable spatial feasibility and resiliency and in a network of distributed autonomous decision agents.

As a Computational Geometry Scientist, you will be part of a cross-disciplinary engineering team engaged in the development of a commercial system that will service multiple customers who seek to employ autonomous systems in a variety of industry sectors. You and your engineering members, will coordinate efforts with other teams with complementary expertise. You will be in an environment that emphasizes strong collaboration between engineering teams, product/business managers, end users, and internal/external partners.

In this role, you will:
  • Work with Engineering Leadership, Product and Business Managers to understand product capability needs, and translate those into algorithm designs
  • Provide expertise, guidance and rationale in 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 conflict detection and resolution algorithms, and support their translation into online software functions.
  • Develop novel approaches for enabling resiliency in the operation of a distributed autonomous system in noisy, disrupted, and/or uncertain environments
  • Devise 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:
Basic Qualifications
  • Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 7 years analytics development for industrial applications in a commercial/industrial setting
  • Expertise in computational geometry, spatial analysis, high performance algorithms
  • Knowledge of design and development of algorithms for real-time operation
  • Extensive experience with programming and algorithm design
  • Extensive software development experience (Java, C/C++, Python)
Eligibility Requirements
  • Legal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.
  • Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen
  • Must be willing to travel at least 10%
  • Must be willing to work out of an office located in Boston, MA


Desired Characteristics:
  • Experience with development of on-line algorithms and data analysis
    techniques
  • Experience with Java and/or Python development and frameworks such
    as JQuery, JavaScript, HTML5, CSS, SQL, NoSQL
  • Hands-on experience with
    DevOps technologies such as continuous integration using Docker, Maven and
    Jenkins
  • Experience with the practices and dynamics in Agile development
    process
  • Use of documentation tools
  • Ability to evaluate and select technology
    to drive features and roadmaps


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.

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.


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