Total 2 Education / Training job vacancies in Westlake OH

CACI’s Agile Digital Solutions Operating Group is recruiting an experienced project manager to join our NASA Consolidation Applications and Platforms (NCAPS) team.  As a member of the NCAPS Team, you will support the men and women leading America’s space exploration.

The NCAPS Center Relationship Manager plays a key role by working with NASA Center leaders to ensure alignment of priorities to solutions as NASA transition solution delivery to an enterprise model.  The selected candidate will work with CACI’s program leadership team and is responsible for identifying, managing, and resolving center identified issues and risks. 

What you’ll get to do:

• Work with NASA center leadership to drive customer satisfaction and ensure alignment with enterprise priorities.

• Develop and maintain customer relationship maps

• Develop and maintain customer satisfaction plans and processes

• Work with NASA center leadership to identify, track and manage center priorities, issues and requests

• Work with center product owners and CACI’s delivery team to align priorities to product backlogs and in PI planning events

• Assist in managing performance against SLA metrics and preparing/delivering center specific status reports and information

• Work with Team CACI NCAPS leadership in strategic planning, understanding of NASA/Center processes and priorities, and participate in monthly program review meetings

You’ll bring these qualifications:

• Must be a U.S. citizen with ability to obtain Public Trust clearance.

• 10+ years of relevant experience

• Knowledge of NASA business systems and software development processes and procedures

• Proven track record of effectively managing customer relationships.

• Prior experience successfully identifying, managing, and resolving customer satisfaction issues.

These qualifications would be nice to have:

• Active Secret security clearance

• Prior experience leading a NASA research center

What we can offer you:

• We’ve been named a Best Place to Work by the Washington Post.

• Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.

• We offer competitive benefits and learning and development opportunities.

• We are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities.

• For over 60 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success

Company Overview:

CACI is an Equal Opportunity/Affirmative Action Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here

The proposed salary range for this position is:

Do you want to join a high performing team that values integrity, innovation, and collaboration with a company whose mission is to make the world safer, healthier, and more efficient through information technology, engineering and science? Are you interested making a difference by applying your machine learning and signal processing skills toward state-of-the-art research and development problems? Leidos currently has an exciting opening for a machine learning and signal processing engineer to work in our Beavercreek, Ohio office. 

As a machine learning / signal processing engineer, you will apply your skills to a wide variety of problems and datasets, primarily focused on remote sensing (Electronic Support Measures {ESM}, acoustic, RF, EO/ IR, and lidar) applications. Current projects include, but are not limited to, detection, tracking, data fusion, and classification. We develop a variety of combat identification (CID) algorithms and systems for both air and ground targets and specialize in technologies to train these systems on synthetic data. We are looking for a qualified candidate to bring technical excellence, leadership, entrepreneurship, and creativity to our programs. You will interact with customers, participate in and lead technical projects areas, and have the opportunity to pursue growth in new areas.  This position requires most job duties to be performed onsite due to the sensitive nature of this work and the desire for in-person collaboration, however we offer flexible in-office hours and the ability to perform some job duties remotely.

Primary Responsibilities

• Work closely with defense customers, other contractors, intelligence personnel, senior scientists, principal investigators, and program managers, to understand needs and develop or recommend solutions.

• Develop Automatic Target Recognition and Combat Identification (ATR/CID) algorithms and user interfaces using Python, MATLAB, and other languages for real world applications.

• Manage target knowledge databases and apply modeling and simulation techniques and tools to create or augment training data.

• Develop Machine Learning and Artificial Intelligence algorithms to classify images, discover and classify ESM data, or create efficiencies in other ATR/CID database processes.

• Leverage state-of-the-art AI/ML tools and methodologies to improve the performance of ATR/CID systems

• Write and present technical information related to development activities.

• Develop technical solutions and help write proposals for new work.

Basic Qualifications:

• BS degree in a science related degree field (Electrical Engineering, Computer Science, Physics, Engineering Physics, etc.) with 4+ years’ experience or a Masters Degree with 2+ years’ experience

• US citizenship

• Ability to obtain and maintain a TS/SCI clearance

• Adept in Python and MATLAB

• Proficient in Linux and Windows

• Pattern recognition and/or image classification experience

• Familiarity with common machine and deep learning packages such as Scikit-Learn, PyTorch, etc.

• Excellent communication skills and proven ability to work directly with customers and deliver results

• Mission oriented with a strong ability contribute to team goals and work in a team environment to deliver real world products

• Proficient with technical writing, documentation, and organization

• Robust sense of initiative, a self-starter who can work independently

• Basic understanding of electromagnetic phenomenology such as scattering, absorption, polarization, refraction, diffraction, etc.

Preferred Qualifications:

• Active SECRET clearance or higher, with an ability to obtain a TS/SCI clearance

• Experience with Combat Identification and Automatic Target Recognition algorithm development for air, ground, or space targets

• Experience working with monostatic or bi-static Synthetic Aperture Radar (SAR) and/or Synthetic Aperture Lidar (SAL) data and sensor systems

• Basic understanding of Computational Electromagnetics Prediction codes (Xpatch, SENTRi, CST, Feko, etc.)

• Understanding or experience with Electronic Support Measures (ESM)

• Understanding of DoD test processes

• Object Oriented Programing experience and/or Java and C++ experience

LInC

Electronic Warfare

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.