Benefits:

• Competitive salary

• Equity

• Remote work option

Experience Requirements:

• 3+ years of experience

Responsibilities:

• Develop and maintain backend infrastructure

• Build and improve AI models

• Work with frontend engineers to integrate AI features

Benefits:

• Unlimited PTO

• Medical/dental/vision insurance

• 401k through Charles Schwab

• Flexible Spending Account

• Health Savings Account (with eligible healthcare package), Company-paid short-term and long-term disability plus basic life insurance, Family-friendly maternity and paternity leave, Employee assistance program (EAP) via Claremont, PerkSpot discount program, Paid time off to do volunteer work in your community, Access to the Wellness Coach app

Education Requirements:

• Bachelor's degree or equivalent relevant experience

Experience Requirements:

• 5+ years of experience in IT

• 5+ years of experience in a live operating environment

• 3+ years of experience working in cloud-based environments (AWS & Azure)

• 3+ years of experience managing deployment environments and CI/CD pipelines

• 3+ years as a DevOps, Cloud, or Infrastructure Engineer

Other Requirements:

• Comprehensive knowledge of modern technology trends

• AWS Certifications (Solutions Architect, SysOps Administrators, DevOps Engineer)

• Experience with real-time communications technology (Telephony/VoIP)

• Experience with Machine Learning (ML)

• Experience with startup technology organizations (preferably FinTech)

• Experience with physical security appliances (firewalls and VPNs)

Responsibilities:

• Execute technology maintenance processes for software product releases

• Build and maintain cloud architectures

• Automate infrastructure provisioning in AWS and Azure

• Create system alerts and monitor cloud application availability

• Oversee and manage physical hardware appliances deployed to client sites

Other Requirements:

• Marketing Manager

• SEO

• Creativity

• Social Media Marketing

• Communication Skills

• Content Creation

• Analytical skills

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Education Requirements:

• Bachelor’s degree in Computer Science

• Electronics & Communications Engineering

• Computer Information Systems (CIS)

• Information Technology, or a directly related field

Experience Requirements:

• 8+ years

Other Requirements:

• Technical exp inAzure, SharePoint, .Net, BI or related MS technologies

• Over 18 months of project management exp (Exposure to Waterfall, SCRUM, Agile and relevant PM certification desirable)

• Previously handled a team of 7+ people

• Proven ability to manage more than 1 project at a time

Responsibilities:

• Consulting with the functional unit to identify, define and document business requirements

• Act as a liaison between departmental end-users, IT stakeholders, and technical experts

• Track and document changes during project execution

• Identifies opportunities for improving business prospects with the client

• Provide assistancein training, mentoring, and coaching team members

Education Requirements:

• Bachelor’s degree in Computer Science

• Electronics & Communications Engineering

• Computer Information Systems (CIS)

• Information Technology, or a directly related field

Experience Requirements:

• 8+ years

Responsibilities:

• Data Collection and Processing

• Data Analysis and Interpretation

• Model Development and Evaluation

• Data Visualization and Reporting

• Collaboration and Communication

Benefits:

• RDO’s

• Company Vehicle

• Employee Benefits

• A uniform

• Opportunities for further training, development, and advancement

Experience Requirements:

• You are punctual

• You are reliable

• You have a good work ethic

• You are self-motivated, enthusiastic, and have a positive, can-do attitude

• You take pride in your work

Responsibilities:

• Drainage

• Rough In’s

• Downpipes & Flashings

• Fit Off’s

• Appliance Installation

Benefits:

• Welcome package

• Procurement of essential work equipment

• Work anniversary benefit

• State-of-the-art work laptop/desktop provided

• Education and seminar fee coverage Employee invention bonus system In-house hobby clubs In-house study groups Book purchasesComprehensive healthcare checkups Paid sick leave Paid menstrual leave Psychological counseling servicesFamily care and bereavement leave Paid annual leave Birthday celebration bonusesRemote work policy Flexible hours Snacks & late-night meals Late-night taxi fare Team socials & tea breaks Sit-stand desks & workspaces optimized for productivity

Experience Requirements:

• Experienced

• Entry level

Benefits:

• Welcome package

• Procurement of essential work equipment

• Work anniversary benefit

• State-of-the-art work laptop/desktop provided

• Education and seminar fee coverage Employee invention bonus system In-house hobby clubs In-house study groups Book purchasesComprehensive healthcare checkups Paid sick leave Paid menstrual leave Psychological counseling servicesFamily care and bereavement leave Paid annual leave Birthday celebration bonusesRemote work policy Flexible hours Snacks & late-night meals Late-night taxi fare Team socials & tea breaks Sit-stand desks & workspaces optimized for productivity

Experience Requirements:

• Experienced

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

Benefits:

• Excellent health insurance benefits

• Stock options

• 401(K)

• Relocation Assistance

• Company sponsored lunch

Education Requirements:

• MS in Mechanical Engineering and Applied Mechanics, or closely related

Other Requirements:

• Academic program must have included: Designing, integrating, testing and troubleshooting robotic systems; Camera and IMU sensor characterization, integration and fusion; Microcontroller programming for sensors and actuators using C; Aerial robot localization, path planning and motion planning

Responsibilities:

• Assemble, integrate, test and deploy new robotic automation systems

• Conduct research to improve efficiency, scalability and reliability of robotic automation system operations

• Understand end-user needs and create detailed requirements and specifications documents

• Engineer highly scalable robotic solutions

• Review existing robotic solutions performance. Debug and resolve issues. Identify and implement improvements. Ensure achievement of milestones toward successful deployment. Provide guidance to mechanical, firmware and software development teams to test, validate and deploy projects within the committed timeline. Provide technical support.