Job Description

Responsibilities

Are you intrigued about artificial intelligence and autonomous systems?

Be part of the team leading the development of innovative space technologies such as self-piloting and onboard science processing systems.

The Artificial Intelligence Group works on fundamental research problems leading to unique software applications in spacecraft autonomy, scientific data analysis, and mission operations automation and onboard analysis for real-time decisions.

Development projects will include automation of ground and flight operations for communications stations, space missions, marine vehicles, aerial vehicles, including fleets of vehicles.

You will use Artificial Intelligence and Machine Learning technologies to partially and fully automate critical systems for scheduling, planning and resource allocation. You will initiate and lead new efforts in these areas.

Your job will entail but is not limited to:

Perform analysis on a wide variety of large and disparate datasets using highly complex and novel techniques
Develop novel, complex scheduling algorithms for autonomous systems that must interpret large amounts of input state, constraint, and event data to generate actions and scheduled to achieve higher level goals. Advance state of the art in the area, routinely publishes such advances
Communicate results to internal and external customers
Apply and combine current and emerging techniques and tools in novel ways
Develop and combine complex data analysis techniques and methods for a specific application
Design and develop software tools for data analytics
Develop system requirements
Formulate new concepts

Qualifications

Typically requires a Bachelor's degree in Computer Science or related discipline with a minimum of 9 years of related experience; Master's degree in similar disciplines with a minimum of 7 year of related experience; or PhD with a minimum of 5 year of related experience in similar disciplines
Significant knowledge in one or more related fields of the following areas: software development, artificial intelligence, search, operations research, resource allocation mechanisms, quantitative modeling, machine learning, computer vision, risk models, decision theory, and probabilistic methods
Experience in wide application of principles, theories, concepts and techniques in modern programming languages such as C++, Python, Java, Hadoop map-reduce, R, Ruby, SAS, Artificial Intelligence Techniques and concepts

Preferred Qualifications

Experience in automation and analysis systems for logistics or robotic autonomous systems
Experience and background in Artificial Intelligence, Optimization, Search, Scheduling, Resource Allocation, Operations Research, or related fields
Extensive knowledge of applicable industry and/or academic practices and standards in Software design & development and Computer Science
Experience in interdisciplinary team leadership
Experience in writing proposals, task plans, and research publications for peer reviewed forums
Experience in formulating new concepts, visions, and technology thrusts
Experience in formulating and leading cross institutional efforts

Valid through: 3/28/2021

About California Institute of Technology Jet Propulsion

The Jet Propulsion Laboratory is a federally funded research and development center and NASA field center in the city of La Cañada Flintridge, with a Pasadena mailing address, in California, United States. Founded in the 1930s, JPL is currently owned by NASA and managed by the nearby California Institute of Technology for NASA. The laboratory's primary function is the construction and operation of planetary robotic spacecraft, though it also conducts Earth-orbit and astronomy missions. It is also responsible for operating NASA's Deep Space Network. Among the laboratory's major active projects are the Mars 2020 mission, which includes the Perseverance rover and the Ingenuity Mars helicopter; the Mars Science Laboratory mission, including the Curiosity rover; the InSight lander; the Mars Reconnaissance Orbiter; the Juno spacecraft orbiting Jupiter; the SMAP satellite for earth surface soil moisture monitoring; the NuSTAR X-ray telescope; and the forthcoming Psyche comet orbiter. It is also responsible for managing the JPL Small-Body Database, and provides physical data and lists of publications for all known small Solar System bodies. JPL's Space Flight Operations Facility and Twenty-Five-Foot Space Simulator are designated National Historic Landmarks.

Total Jobs:

Average Pay:

$130,178

Total value of jobs:

$7,290,000

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* Ladders Estimates