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)
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
Experience with development of on-line algorithms and data analysis techniques
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
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