Vimaan Robotics is a privately held technology company, founded in 2017 and headquartered in Silicon Valley. Vimaan is driving a paradigm shift in the way computer vision is enabled and leveraged for inventory management in the supply chain and logistics industry. Vimaan’s proprietary SaaS based end-to-end solution provides comprehensive and real-time tracking of inventory movement and status within the warehouse; seamlessly integrates into existing legacy workflows and ecosystems; enables full autonomy and scalability; generates rich, actionable data for supply chain operators; and delivers dramatic monetary returns through cost savings and customer satisfaction improvement. In the physical goods industries that require significant investments to install and maintain modern supply chains, Vimaan’s solution will ultimately enable its customers to leverage bleeding edge technology solutions to compete with other fully integrated e-commerce players. The company’s founders have a track record of founding and successfully exiting multiple companies. Vimaan is planning to soon emerge from stealth mode but has already raised $25M in venture capital from blue chip Silicon Valley investors and has engagements with multiple Fortune 500 customers. The company has over 70 employees in various locations in the US and one location in Bengaluru, India.
About the Role
As company is scaling its products across various customer facilities, you as Module Lead will be leading the optimization and deployment of deep-learning models. The optimization part would be covering the entire pipeline, i.e. including pre-processing, inferencing and post-processing. The optimization effort can range from exploring various optimization frameworks to model pruning. You would be taking models from developers of various products and be responsible for optimizing and then deploying the optimized models in production environment whilst ensuring the accuracy of the model remains same. The target deployment devices can range from server to edge devices but would be known apriori and hence the optimization strategy would be changing accordingly. Optimization target can involve GPU memory consumption, model size, inference pipeline speed or power consumption.
Headquartered in Silicon Valley, with team members around the world, Vimaan is comprised of computer vision and hardware technologists and also warehousing domain experts with a rich and successful history in successful technology startups. Vimaan’s primary mission is to deliver computer vision and machine learning solutions to solve long-standing inventory visibility, accuracy and quality challenges experienced in the supply chain.