Vimaan

Benefits:

• Excellent health insurance benefits

• Stock options

• 401(K)

• Relocation Assistance

• Company sponsored lunch

Education Requirements:

• Bachelor’s degree in Robotics Engineering, Mechanical, Electrical, Computer Engineering, or Computer Science

Experience Requirements:

• 2-5 years of experience supporting operations, new product introduction, or application development

Other Requirements:

• Willingness to travel to client sites domestically as required up to 30% of the time

• Work From Office at HQ is a must

• Experience in onsite customer support and collaborating with remote teams

• Proficiency in writing, maintaining, and implementing software code

• Familiarity with sensors, cameras, or other robotics-related functions is highly desirable

• Strong communication and interpersonal skills

Responsibilities:

• Collaborate with program managers and clients to understand project requirements and objectives, ensuring successful project delivery.

• Conduct site visits to understand customer requirements and assess deployment needs.

• Install, configure, and calibrate robotic, computer vision, and automation systems at client sites, adhering to project timelines and quality standards.

• Generate comprehensive reports and develop software solutions for testing and validation purposes.

• Assist in the acquisition and analysis of data and images from our robotic systems. Collaborate closely with the development team to optimize operations for efficiency, scalability, and reliability. Support engineers in various experiments, data gathering, production coordination, and customer meetings. Maintain open communication with the Applications Engineering team to address and resolve issues for continuous improvement. Provide technical support and guidance to clients remotely and on-site as needed, serving as a trusted advisor and ensuring customer satisfaction. Provide comprehensive training sessions to client personnel on the operation, maintenance, and troubleshooting of our systems, ensuring a smooth transition to autonomous operation.

Education Requirements:

• Master’s degree in Robotics, Computer Science, Navigation and Control Systems or related field

Experience Requirements:

• 1-2 years of work experience

Other Requirements:

• Strong Python programming skills

• Strong foundation in physics and robotics systems – including ROS, 3D simulations and sensor fusion based navigation algorithms

• Proven experience in developing Navigation and Localization algorithms for autonomous vehicles, robotics, drones, maritime vehicles or similar application

• Hands-on experience in computer vision (classical and modern), visual odometry and SLAM projects, solving real-world problems involving vision, navigation and localization tasks

• Deep expertise in Kalman filtering, Extended Kalman filtering, and other estimation techniques and knowledge of sensor fusion and data integration techniques

• Deep mathematical foundations with knowledge of 3D Multi-view Geometry, Advanced Linear Algebra, Numerical Optimization, etc.

• Deep insights into depth cameras and 3D data characteristics

• Ownership of the development and implementation of modules for computer vision and packaging software for efficiency

• Ability to understand problem statements and implement and test new ideas under supervision

• Maintain comprehensive documentation of code, algorithms, and pipelines

• Capability to work collaboratively in a team and communicate effectively

• Ability to work in a fast paced, high pressure startup environment and adapt to rapidly changing requirements

• High proficiency in C++ and Python

Responsibilities:

• Design, development and implementation of on-board computer vision algorithms, using both classical and modern methods, meant for real-time robot localization in an indoor warehouse setting.

• Implement sensor fusion techniques to integrate data from multiple sensors such as LIDAR, Cameras, IMU and ToF to enhance the accuracy and robustness of vehicle navigation.

• Implement marker and tag detection algorithms using classical and modern computer vision techniques for real-time localization.

• Contribute to geometric vision algorithms involving 3D computer vision tasks such as dense/sparse 3D reconstruction, Multiview pose estimation, RGBD fusion, 3D object detection and 3D dimensioning.

• Contribute to the product architecture, make decisions on sensor selections, and deploy solutions in various customer sites and gauge system efficiency on a day-today basis. Characterize and build metrics on the effectiveness of the computer vision algorithms in tackling the problem at hand. The role will include assessment of the best-in-class technologies, choice of the right technologies to implement for the Vimaan use case, implementation of the technology into our real-life solutions at customer facilities and continued support and improvement of the technology in the field.

Education Requirements:

• MS in computer vision, machine learning, AI, applied mathematics, data science, or related technical fields or BS with 3+ years experience in Computer Vision/Machine Learning

Other Requirements:

• Hands on experience in developing new learning algorithms for one or more of computer vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation, adversarial and generative models etc., and representational learning with a varied amount of data – from a few samples to a very large dataset.

• Knowledge of current DL literature and the mathematical foundations of machine learning

• Ability to train and debug deep learning systems – from defining datasets and evaluation metrics, model training, deployment, failure characterization, and iterative improvement

• Strong programming skills and development experience with python and ML/DL frameworks such as Tensorflow, Pytorch etc.

• Deep insights into data characteristics and ability to map those to appropriate model architectures

• Experience working with inputs coming from multiple cameras and input modes is a plus.

• Hands on experience with MLOps tools & methods is a plus.

• Experience in AI Infrastructure, Machine Learning Accelerators, On-Device Optimization is a plus

• Highly motivated and passionate individual with a very strong work ethic, ability to work in a team and work independently under supervision and guidance in a matrix management environment

• Ability to work in a fast paced, high pressure startup environment and adapt to rapidly changing requirements.

• US Citizenship

Responsibilities:

• drive the development of computer vision and machine learning algorithms to power our cutting-edge wall-to-wall warehouse inventory tracking and verification platform