This position involves developing, testing and deploying algorithms for autonomous flight. Specifically, using inertial sensors, cameras, lidar, and radar for state estimation and localization. The engineer will play a key role in a small, fast-moving team and have input to conceptual system architectural design and implementation of embedded software to ensure safety of an electric-powered, fly-by-wire aircraft.
Qualified candidates will have most of:
- M.S. or PhD in aerospace engineering or computer science, or related field.
- 3+ years industry experience developing guidance, navigation and/or control systems.
- Expert knowledge of C++.
- Expertise in probabilistic estimation theory, nonlinear optimization, and filtering.
- Expert knowledge of object-oriented programming methodology and multi-layer system architectures.
- Experience in design, integration and calibration of multi-sensor vehicle rigs.
- Experience developing multi-sensor state estimation and localization algorithms with real-world data.
- Experience determining and resolving sensor failures in challenging environments.
- Experience developing parallel algorithms using OpenCL or CUDA.
- Basic understanding of version control technologies.
- Understanding of DO-178C or safety critical software.
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.