Senior SLAM Engineer
4 weeks ago
Roles and Responsibilities
- Design and develop the architecture for vSLAM systems to support multi-camera, high-resolution setups.
- Optimize the visual feature extraction process across multiple cameras.
- Leverage CUDA and Tensor Core optimization techniques to accelerate vSLAM processing.
- Develop advanced algorithms to analyze and validate the integrity of data from various sensors (e.g., IMU, Encoder).
- Study and optimize existing controller hardware to improve overall system performance, ensuring stability and efficiency.
- Continuously improve the efficiency, speed, and scalability of vSLAM algorithms, adapting them to meet real-time system requirements.
- Develop logical test plans and data collection strategies to evaluate the effectiveness and performance of vSLAM solutions against defined goals and key metrics, ensuring system robustness.
- Master's or Ph.D. degree in Electrical, Mechanical, or Computer Engineering or a relevant discipline, with more than five years of industry experience.
- Strong proficiency in C++, with substantial experience in scripting languages such as Python.
- Extensive expertise in 3D computer vision, multi-view geometry, and SfM/SLAM.
- Experience with CUDA and Tensor Cores for performance optimization on GPUs.
- Knowledge of sensor calibration, data synchronization, and handling data from multi-sensor systems.
- Strong mathematical foundation, particularly in multi-view geometry, linear algebra, and optimization.
- Familiarity with open-source optimization libraries such as g2o, GTSAM, and Ceres.
- Expertise in optimization, numerical linear algebra, probabilistic estimation, and sensor fusion.
- Experience with debugging, profiling, and optimizing code for performance on both CPUs and GPUs
Scalability
Hardware
Scripting
Electrical
Computer Vision
3D
CUDA
Sensors
Geometry
Debugging
Linear Algebra
Calibration
C++
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