Benefits:

• Leader opportunity

• VC-backed

• Early team member

Experience Requirements:

• 3+ years

Responsibilities:

• Lead the charge in delivering Criya's solution to mid-market and large enterprises

Education Requirements:

• Bachelor's degree in Computer Science or a related field is required; a master's degree is a plus

Experience Requirements:

• Expert knowledge of microservices architecture and design

• Extensive experience with Kubernetes (AWS EKS preferred) and AWS ECS

• Strong experience with both SQL and NoSQL database management

• Expert-level experience with AWS cloud services

• Hands-on experience with ISO 27001 / SOC2 compliance and audit initiatives

Other Requirements:

• Proficient in Linux systems and internals

• Experience in high-availability environments with a focus on scalability and resilience

• 6+ years of experience in setting up and maintaining cloud environments

• Proficient in Terraform for infrastructure as code

• US Citizen only for this role

Responsibilities:

• Design and implementation of elastically scalable infrastructure solutions

• Define, enforce, and continuously improve stringent security standards across all systems

• Design systems for business continuity, ensuring resilience and disaster recovery capabilities

• Implement and maintain robust monitoring, metrics, and alert systems to ensure high availability

• Evaluate, recommend, and adopt the most appropriate and up-to-date technologies for the organization

Education Requirements:

• Bachelor's degree in Computer Science or a related field is required; a master's degree is a plus

Experience Requirements:

• Proven management experience in leading DevOps teams

• Expert knowledge of microservices architecture and design

• Extensive experience with Kubernetes (AWS EKS preferred) and AWS ECS

• Expert-level experience with AWS cloud services

• Hands-on experience with ISO 27001 / SOC2 compliance and audit initiatives

Other Requirements:

• Proficient in Linux systems and internals

• Experience in high-availability environments with a focus on scalability and resilience

• 8+ years of experience in setting up and maintaining cloud environments

• Strong experience with both SQL and NoSQL database management

• US Citizen only for this role

Responsibilities:

• Manage a team of talented DevOps engineers

• Lead the design and implementation of elastically scalable infrastructure solutions

• Define, enforce, and continuously improve stringent security standards across all systems

• Design systems for business continuity, ensuring resilience and disaster recovery capabilities

• Implement and maintain robust monitoring, metrics, and alert systems to ensure high availability

Benefits:

• Competitive salary package and bonus or variable incentive pay depending on role

• Comprehensive medical, dental, vision and life insurance benefits

• Unlimited PTO

• Paid parental leave for eligible employees

• 401(k) match

Education Requirements:

• Bachelor’s degree in business or science with PMP designation preferred

• MBA preferred

Experience Requirements:

• Minimum of 8 years of previous operations experience in a similar roles

• 8+ years’ experience in project management, analytical problem-solving capabilities, previous operational excellence experience and a demonstrated track record of implementing operational improvements

• Experience in fast paced, SaaS companies working with international teams and reports including US, India and Europe

Other Requirements:

• Demonstrated experience managing and leading Sales, Marketing, Customer Success, Business Operations teams and Finance/FP&A teams

• Demonstrated experience and success managing metrics and KPIs in these operation functions, including pipeline generation, conversion rates and win-loss analysis

• Strategic Thinking

• Leadership and Communication

• Results-Oriented

• Industry Knowledge

Responsibilities:

• Drive cross-functional management of Sales, Marketing, Customer Success, Business Operations teams and Finance/FP&A teams

• Institute and drive programs, projects and processes

• Develop, track and improve analytics, metrics, objectives and goals

• Foster a collaborative, high-performance culture, encouraging teamwork and professional growth

• Sales Operations

Education Requirements:

• A Bachelor’s degree in a technology-related field is required, with a Master’s degree preferred

Experience Requirements:

• Minimum of 5 years of experience in physical security and video surveillance systems

• Familiarity with VSaaS (Video Surveillance as a Service) is a significant advantage

• Small team management experience is a strong advantage

Other Requirements:

• Proficient in operating and troubleshooting PCs and networking equipment

• General knowledge of Linux

• Fluent in spoken and written English

Responsibilities:

• Take ownership of customer-reported issues and ensure their resolution

• Research, diagnose, and troubleshoot software and hardware problems related to video surveillance products

• Provide technical assistance via phone and email

• Manage open support cases within the organization to maintain customer satisfaction

• Collaborate with internal teams to enhance product performance and meet customer demands

Experience Requirements:

• Proven experience in graphic design

Other Requirements:

• Proficiency with Adobe Illustrator

Responsibilities:

• Create marketing materials such as flyers and banners that align with our brand identity and marketing objectives

• Collaborate with product, marketing, design team to understand requirements and objectives, delivering cohesive design work

Education Requirements:

• Master’s or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field

Experience Requirements:

• 5+ years of experience in data analysis, statistical modeling, and/or machine learning

Other Requirements:

• Strong consulting and client-facing skills

• Excellent communication and presentation skills

• Strong problem-solving and critical thinking skills

• Proficiency in programming languages such as Python or R

• Experience with data analysis and visualization tools such as SQL, Tableau, Alteryx and Power BI. Experience with Sigma Computing is a plus.

• Strong project management skills

Responsibilities:

• Work collaboratively with clients to understand their business objectives and data-related challenges

• Develop and implement custom data analysis solutions

• Provide expert guidance and advice on data-related issues to clients

• Collaborate with cross-functional teams

• Communicate complex data analysis concepts and results to non-technical stakeholders in a clear and concise manner

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.

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:

• Cutting-edge innovation

• Flexible timings

• Mentorship from industry leaders

• Recognition as a top company

• Accelerated career growth

Experience Requirements:

• 5+ years experience

Responsibilities:

• Identify data sources

• Design web scraping strategies

• Extract data

• Cleanse and validate data

• Monitor and maintain processes

Benefits:

• Cutting-edge innovation

• Flexible timings

• Mentorship from industry leaders

• Recognition as a top company

• Accelerated career growth

Responsibilities:

• Understand customer business problems

• Deliver product demonstrations

• Develop product strategies and messaging

• Create marketing collateral

• Gather customer feedback

Benefits:

• Cutting-edge innovation

• Flexible timings

• Mentorship from industry leaders

• Recognition as a top company

• Accelerated career growth

Experience Requirements:

• 3+ years experience

Responsibilities:

• Identify opportunities and set priorities

• Deconstruct problems and form hypotheses

• Integrate analytical solutions

• Monitor and manage project baseline

• Translate and communicate results

Benefits:

• Cutting-edge innovation

• Flexible timings

• Mentorship from industry leaders

• Recognition as a top company

• Accelerated career growth

Experience Requirements:

• 3+ years experience for Data Analyst

• 5+ years for Senior Web Scraping Specialist

Responsibilities:

• Collaborate with cross-functional teams

• Conduct research and experimentation

• Develop and enhance forecasting models

• Optimize machine learning models

• Stay updated on advancements in machine learning

Benefits:

• Employee Stock Plan

• Competitive Compensation Package

• 100% Company Paid Premium Medical Plan

• Team Building Activities

• Paid Vacation And Time-off

Benefits:

• Employee Stock Plan

• Competitive Compensation Package

• 100% Company Paid Premium Medical Plan

• Team Building Activities

• Paid Vacation And Time-off

Benefits:

• Employee Stock Plan

• Competitive Compensation Package

• 100% Company Paid Premium Medical Plan

• Team Building Activities

• Paid Vacation And Time-off

Benefits:

• Employee Stock Plan

• Competitive Compensation Package

• 100% Company Paid Premium Medical Plan

• Team Building Activities

• Paid Vacation And Time-off