FORTNA is looking to solve complex computer vision problems in the Material Handling Industry by developing innovative products based on the latest deep learning algorithms and GenAI solutions.
Requirements
- Hands-on experience writing C/C++ or CUDA code in a Linux environment.
- Experience with computer vision software.
- Experience with Machine Learning Advancements and Latest Deep Learning Techniques for computer vision Applications.
- Experience with sensor fusion algorithms for computer vision applications.
- Five years of experience implementing parallel, synchronous, and asynchronous, low latency algorithms.
- Knowledgeable in GPU hardware and associated limitations.
- Knowledgeable in NVIDIA’s line of SoCs, such as the Jetson platform.
- Strong understanding of OpenCV and/or PCL.
- Strong understanding of evolving GenAI models.
- Practical experience in developing software solutions using a balance of: Analytic based Heuristics, Develop, train, and integrate DNNs, Off-line numeric solvers, Online analytic solvers
- Practical experience with the latest transformers-based detection and segmentation networks.
- Knowledgeable in building self-supervised models for various computer vision tasks.
- Experience with industrial communications protocols such as: Ethernet/IP, TCP/IP, Modbus.
Responsibilities
- Successfully leading and developing a highly skilled team in all aspects of the development of commercial grade software & solutions for material handling systems. Products are developed in either C/C++ or CUDA on Linux platforms.
- Hands-on with fast prototyping efforts for analyzing viable computer vision solutions for a particular task.
- Performing hands-on development of product components in either C/C++ or CUDA.
- Developing state of the art machine learning models for challenging computer vision tasks.
- Developing and implementing GenAI based solutions for FORTNA.
- Actively working with our Mechanical, Controls and Robotics teams for tightly integrated products.
- Leading efforts to improve the data pipeline for all machine learning tasks.
Other
- M.S. or PhD. in Comp. Sci., Comp. E., Elec. E., or related fields.
- Experience working with or leading engineering teams in the following disciplines: electrical, mechanical, controls, manufacturing, after-sales, procurement.
- As the products being developed are driving the future of computer vision, the successful candidate must be comfortable taking abstract, complex concepts and shepherding them through to product realization.
- Supporting and advising Business Development and Product Management on Vision and Robotics products and solutions.
- Working with LPS (Lifecycle Performance Services) and sometimes directly with customers to resolve post-deployment issues and/or evolve product roadmaps.
- Successfully build research partnerships in the field of computer vision with elite research institutions.
- 5+ years leading software engineering teams developing commercial grade, industrial software systems.
- Strong communications and time management skills.
