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Aurora is seeking a dynamic individual who can aid in Aurora’s efforts to perform novel perception experiments on unmanned aerial systems (UAS). Qualified candidates will be expected to have experience in optical systems hardware and computer vision software to architect vehicle autonomy solution using vision-based localization and mapping algorithms. The qualifying engineer will have the capability of integrating hardware, firmware, and software such as cameras, lasers, LEDs, IMUs on an embedded hardware platform such as NVidia Tegra/Jetson or Intel NUC. Experience with C/C++ in Linux and parallel programming on GPGPU using OpenCL or CUDA is required. The candidate should have experience in utilizing commercial off-the-shelf (COTS) hardware and software packages such as OpenCV. The engineer is expected to properly document and present results to enable further growth of future commercial and government ventures.
Perform independent and team research and development involving architecting, coding, simulation, and integration of control system components for enabling flight vehicle autonomy, control, and estimation. Work side-by-side with world class researchers to create cool and innovative autonomy-related products and tools.
Aurora Flight Sciences is an Equal Opportunity Employer
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