Senior Perception Software Engineer Role
3 weeks ago
Estimated salary: $130,000 - $180,000 per year
About SeegridSeegrid is a leading provider of self-driving industrial vehicles. Our team is passionate about developing and delivering mobile robots and enterprise software for global leaders in logistics, manufacturing, warehousing, and e-commerce.
Job DescriptionWe are seeking a skilled Senior Perception Software Engineer to join our Perception Team at Seegrid. As a key member of our team, you will work on various projects related to increasing the spatial and situational awareness of our industrial autonomous vehicles.
Responsibilities Include:
- Design, develop, maintain, and extend perception algorithms that will run in production on our vehicles, including localization, mapping, state estimation, obstacle detection and avoidance, object detection and localization, semantic segmentation, classification, and tracking.
- Guide the development of algorithm design from prototype to production, including training on large-scale data sets and curating backtesting data sets to be integrated with our automated test infrastructure for the production software stack.
- Develop executable implementations of your algorithms in C++ or Python and provide clear documentation on their usage and performance characteristics.
- Provide elevated levels of support to assist with perception-related field issues.
To be successful in this role, you should have a strong background in designing perception algorithms and integrating them with vehicle control systems. You should also have experience working with applicable sensor systems, including 2D/3D LiDAR, monocular and stereo cameras, inertial sensors, etc.
The ideal candidate will have a BS/MS/PhD in Robotics, Computer Science, or a related field, with 5+ years of relevant professional experience. You should also have mastery of C++ and experience with Python, as well as a strong grasp of fundamentals such as linear algebra, probability, optimization, and model-based geometric algorithms.
Experience in SLAM, computer vision, machine learning/deep learning, and ROS, ROS2, DDS, or other data-centric middleware architectures is highly desirable.
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