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, aiming to transform omnichannel and parcel distribution operations.
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.
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.
- 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.
- Actively working with our Mechanical, Controls and Robotics teams for tightly integrated products.
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.
- 5+ years leading software engineering teams developing commercial grade, industrial software systems.
- Strong communications and time management skills.
