Posted in Other 21 days ago.
Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 1,800 employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visitwww.draper.com.
Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities.If this specific job opportunity and the chance to work at a nationally renowned R&D innovation company appeals to you, apply nowwww.draper.com/careers.
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Draper is committed to creating a diverse environment and is proud to bean affirmative action and equal opportunity employer. We understand the value of diversity and its impact on a high-performance culture.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
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This position will be located in Draper Cambridge, MA office. The candidate will be responsible for analyzing and designing control algorithms and flight software for atmospheric vehicles and other systems.Autonomous vehicle control designs will be required employing nonlinear dynamic inversion, observer-based inferred air data covering subsonic, supersonic, and hypersonic portions of the flight envelope. Analysis will include assessment of closed loop performance, verification of algorithms and algorithm requirements, and analysis of flight dynamics and trajectory dispersions. The candidate will use time domain simulations, covariance-based methods, and Monte Carlo dispersed analysis to assess and tune system performance and to document analysis results.
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