- Attractive salary range to $140-165,000
- Comprehensive Benefit and Retirement Programs.
- Relocation allowance
- Ground floor opportunity with a technology having the potential of super high growth
- U.S. citizen or permanent resident with or capable of obtaining DOD security clearance.
Our client is a startup consisting of scientists, engineers, and entrepreneurs who have built some of the most advanced 3D imaging systems in the world. Their goal is to become the world’s preferred supplier of scene reconstruction and processing engines for digital devices like smartphones and AR glasses. They seek a skilled computer engineer/scientist with strong 3D scene reconstruction experience to join its growing company. You will be able to design, implement, and test our scene reconstruction algorithms in C++. You will be a quick thinker with great coding/debugging skills, excellent time-management skills and strong collaborative skills. Title, compensation (including equity) and relocation expense reimbursement will be commensurate with experience.
Who Will Be a Great Fit?
- Proven ability to design, implement and test sophisticated SLAM, SfM and related scene reconstruction algorithms and data structures in C++.
- 5+ years of experience developing production code in a high-performance team.
- Deep understanding of 3D scene reconstruction using nonlinear optimization.
- Deep understanding of multithreaded object-oriented code design, implementation and testing using
- C++ in the Microsoft Visual Studio development environment.
- A brilliant thinker who can contribute both "inside and outside the box."
- Experience successfully working in cross-functional teams.
- History of successful delivery of products.
- Record of success in 3D technology companies, including startups.
- Familiarity with MATLAB® or Python (NumPy/SciPy), Ceres.
- Familiarity with hardware design (FPGA programming using VHDL, Verilog or other RTL).
3D scene reconstruction, structure from motion (SfM), simultaneous localization and mapping (SLAM), optical flow, inverse light transport, nonlinear optimization, bundle adjustment.