Autonomous Systems Engineer

This position involves increasing automation capability to reduce pilot workload.

Minimum Qualifications:
• Master’s degree in a related field with 3+ years industry experience; or Ph.D. with 1+ year industry experience
• Expertise in C++ and MATLAB
• Extensive experience programming GPUs; especially with CUDA
• Industry experience architecting and developing a real-time, latency sensitive embedded system
• Expertise in nonlinear optimization, filtering and smoothing on large data sets

Ideal candidates have most of the following skills and experience:
• Writing multi-threaded and GPU applications 
• Writing state estimation and localization applications
• Developing systems for probabilistic sensor fusion and data association using cameras, lidar, radar, IMU, GPS, etc.
• Creating and maintaining large-scale maps
• Building probabilistic factor graphs
• Applying computer vision techniques - classical and deep learning 
• Writing collision avoidance applications for mobile robots
• Generating collision-free trajectories for 6 DoF systems in 3 dimensions
• Planning trajectories for vehicle fleets

Note: Please attach a portfolio highlighting relevant experience to your resume and cover letter. Applications without a cover letter and portfolio (unless one is unavailable due to, e.g., intellectual property constraints) will not be considered.

Related buzz words:
• SLAM
• Sensor fusion
• State estimation
• Localization
• Mapping 
• Bundle Adjustment
• Sense and Avoid
• Decision making
• Motion planning
• Machine learning 

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