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The Remote Sensing Architecture Performance Analyst will support modeling and simulation engineering for space-based remote sensing architectures. Responsibilities include conducting analyses for research and development, evaluating architecture performance, collaborating with senior staff and translating customer requirements into objectives, and developing presentations and technical assessments.

The Remote Sensing Architecture Performance Analyst will use simulation tools to verify requirements and model performance for space-based remote sensing architectures. The role involves analyzing data to support decisions regarding space systems, collaborating with teams to define project goals, and presenting findings. The candidate should have a background in aerospace engineering or related fields and familiarity with astrodynamics.

The Remote Sensing Architecture Performance Analyst will utilize sophisticated simulation tools for requirements verification, performance modeling, and architecture evaluation in the area of national security space. Responsibilities include providing analyses to support space-based sensing architecture decisions and developing presentations to communicate findings.

As a Graduate Intern in Systems Cost and Schedule, you will analyze cost and technical data, conduct research to support effective system procurement, participate in lifecycle cost analysis, and assist in developing cost and schedule methodologies. You will work closely with mentors to enhance your skills in a collaborative environment.

As a Systems Cost and Schedule Undergraduate Intern, you will analyze cost and technical data, develop cost estimates, and utilize industry tools for schedule evaluation. Participation in trade studies and research activities is expected, along with documenting analyses and presenting findings to stakeholders. Training and mentorship will be provided.

The Space Vehicle Concept Design Engineer will lead spacecraft concept design studies, maintain and improve engineering tools and models, develop expertise in spacecraft systems engineering, and establish relationships with government and contractor personnel for successful project execution.

The Data Scientist will contribute to innovative projects in data science, machine learning, and AI across various sectors, engaging with military and civilian customers to apply cutting-edge technologies and algorithms. They will collaborate with diverse teams, mentor peers, and focus on developing frameworks and tools for mission-critical applications.