The Technical Project Manager at Eternal Robotics will be responsible for overseeing project execution, new product development, and establishing the technology direction for robotics product development. The role requires prior experience in embedded systems development, testing, deployment, and production. The candidate should have strong project management skills, familiarity with relevant tools and methodologies, and the ability to drive innovation and effectively communicate with stakeholders. Responsibilities: Project Management: Develop and execute project plans, ensuring adherence to timelines, budgets, and quality standards. Coordinate cross-functional teams, providing guidance and support throughout the project lifecycle. Utilize project management methodologies (e.g., Agile, Scrum) to foster efficient collaboration and iterative development. Implement project management tools (e.g., Jira, Asana) for task tracking, progress monitoring, and reporting. New Product Development (NPD) Execution: Lead the successful execution of new product development initiatives, from concept to market launch. Conduct market research, gather customer insights, and define product requirements. Collaborate with engineering, design, and manufacturing teams to translate requirements into product specifications. Implement stage-gate processes to ensure disciplined and efficient product development. Embedded Systems Development and Deployment: Oversee embedded systems development, testing, deployment, and production processes. Collaborate with firmware and software engineers to ensure seamless integration of embedded systems components. Define testing methodologies and lead validation efforts for embedded systems functionality and performance. Technology Direction: Establish and drive the technology direction for robotics product development. Stay abreast of industry trends, emerging technologies, and best practices in embedded systems and robotics. Provide technical guidance and mentorship to the engineering team, fostering innovation and continuous improvement. Stakeholder Management: Engage with stakeholders, including customers, executives, and cross-functional teams, to understand requirements and expectations. Ensure effective communication and collaboration, providing regular updates on project status, risks, and achievements. Manage stakeholder feedback, incorporating it into the project planning and decision-making processes. Qualifications: Bachelor's or Master's degree in Engineering, Computer Science, or a related field. Proven experience as a technical project manager, with expertise in embedded systems development, testing, and deployment. Strong understanding of project management methodologies (e.g., Agile, Scrum) and tools (e.g., Jira, Asana). Familiarity with new product development processes, including stage-gate frameworks. Knowledge of robotics technologies, including computer vision, ROS, and mobile robotics. Excellent communication, leadership, and problem-solving skills. Relevant Tools and Methodologies Exposure: Embedded systems development tools (e.g., C/C++, Python, IDEs, debuggers) Project management tools: Jira, Asana, Trello Agile methodologies (e.g., Scrum, Kanban) Stage-gate frameworks for new product development Robotics frameworks and platforms (e.g., ROS, Gazebo) Key Result Areas (KRAs): Project Planning and Execution New Product Development (NPD) Success Embedded Systems Development and Deployment Technology Direction and Innovation Stakeholder Management and Communication Key Performance Indicators (KPIs): On-time delivery of project milestones. Successful market launch of new products. Embedded systems functionality and performance metrics. Adoption of emerging technologies and innovative solutions. Stakeholder satisfaction and feedback. Show more Show less

JOB PURPOSE (Overall Objective) The Cloud Engineer will play a critical role in building,maintaining, monitoring, optimizing , and troubleshooting Eternal Robotics' hybrid cloud infrastructure for Hypervise. The position focuses on ensuring seamless performance of AI-based video processing pipelines , reliable GCP service orchestration, and low-latency data movement between edge IPCs and the cloud backend. JOB PRINCIPAL ACCOUNTABILITIES and JOB CONTENT Monitor and maintain GCP infrastructure including Cloud Run , Cloud Functions , Cloud Scheduler , and Pub/Sub . Manage and optimize firestore databases , buckets , memory stores , and service logs . Set up and maintain CI/CD pipelines for real-time computer vision data ingestion and processing . Monitor CPU/GPU usage , network health , and latency issues across distributed infrastructure. Implement disaster recovery , backup , and load balancing strategies . Collaborate with full-stack, and CV teams for system health audits and root cause analysis. Automate infrastructure provisioning using Terraform or Deployment Manager . Configure IAM roles , OAuth , and service accounts for secure data exchange. Support edge-to-cloud communication pipelines (from IPC/Jetson Orin to GCP backend). Handle maintenance windows, patches, and real-time alerts (using tools like Cloud Monitoring , Stackdriver , etc). ORGANISATION CHART: CTO → Lead Cloud Architect → Cloud Engineer PERSON SPECIFICATION KRAs : Stability of Hypervise cloud infrastructure. Uptime of AI pipelines and edge-cloud communication. Efficiency of deployment cycles and fixes. KPIs : 98% cloud service uptime Incident resolution within < 4 hours 30% improvement in resource utilization on GCP QUALIFICATION, SKILLS & EXPERIENCE: Qualification: Bachelor’s or Master’s in Computer Science / Cloud Computing / Information Technology or related fields. Experience: 3+ years of hands-on experience in full stack software engineering and 1+ years of managing cloud infrastructure (preferably GCP) in production. Skills: GCP stack: Cloud Run, Firestore, Pub/Sub, Scheduler, IAM, Cloud Monitoring Docker, Kubernetes (GKE optional), Terraform Bash/Python scripting for automation Understanding of networking, firewall rules, NAT, VPC peering Familiarity with Linux environments and NGINX Nice to have: Worked on edge-AI setups (Jetson IPCs, RTSP ingestion) TECHNICAL SKILLS: GCP (Cloud Run, Firestore, IAM)-Expert DevOps Tools (Docker, CI/CD, Monitoring)-Advanced Python/Bash Scripting-Advanced Infrastructure as Code (Terraform)-Intermediate Edge-Cloud Communication-Intermediate DIMENSIONS Number of projects: 2+ active projects annually. Impact: Cloud uptime and scalability of critical AI systems Internal/ External Communications: Internal CTO, Project Leads, Full-Stack & CV Engineers, Deployment Teams External GCP Support, Client Site Engineers (for debugging edge connections), 3rd party vendors (when needed) Show more Show less

Job Description: Position : Lead Computer Vision Engineer Location : Hyderabad Experience Required: 6+ years in Automation Manufacturing Industries Job Type: Full-Time Industry: Automation, Manufacturing, Technology Key Responsibilities: Computer Vision Development & Implementation : Design, develop, and deploy computer vision solutions for automation in manufacturing plants. Utilize tools like OpenCV, DeepStream, and cloud platforms (AWS, Azure) for building scalable and efficient systems. Team Management & Development : Lead and manage a team of up to 10 engineers, including junior and mid-level Computer Vision Engineers. Recruit, mentor, and train team members and interns in coding and development best practices. Conduct Performance Management System (PMS) reviews for team growth and productivity. Data Management & Quality Control : Oversee data collection, annotation, and validation processes for computer vision projects. Ensure high-quality datasets and proper administration of data pipelines. Cross-Functional Collaboration : Work closely with sales and management teams to understand project requirements and deliver innovative solutions. Communicate technical concepts effectively to stakeholders. Coding & Technical Leadership : Actively contribute to coding tasks and troubleshoot complex issues. Ensure the team maintains strong coding standards and practices. Deployment & Operations : Manage plant-level deployments of computer vision systems, ensuring seamless integration and performance. Handle entire projects independently from start to finish while ensuring timely delivery and quality. Ability to handle simultaneous projects single-handedly, maintaining efficiency and high standards. Support dynamic startup environments with flexible timing and multitasking abilities. Key Skills Required: Strong coding proficiency in Python, OpenCV, and cloud engineering platforms (AWS, Azure). Experience with DeepStream and real-time computer vision applications. Data management, data administration, and quality assurance expertise. Proven ability to lead and mentor teams in a fast-paced, dynamic environment. Hands-on experience in plant deployments and troubleshooting in manufacturing setups. Effective multitasking and adaptability to startup culture. Strong problem-solving and creative thinking skills. Preferred Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. Experience in automation and manufacturing industries. Ability to recruit and build technical teams aligned with organizational goals. Familiarity with performance evaluation and team management tools. Show more Show less

About Eternal Robotics – Hypervise Hypervise is the flagship industrial AI platform of Eternal Robotics, built to transform real-time quality inspection and automation through advanced computer vision and edge AI. Our clients span automotive, apparel, pharmaceuticals, and more — industries where speed, accuracy, and reliability are mission-critical. Role Overview We are looking for a Computer Vision Engineer – II with 3–6 years of experience to develop and deploy production-grade CV solutions across our customer sites. This role combines hands-on development of models and algorithms with end-to-end ownership of system integration, testing, and deployment in real-world industrial environments. You will work closely with senior engineers, product leads, and customer teams to bring CV/AI projects to life and continuously improve solution performance. Key Responsibilities 1. Model Development & Testing Build and optimize deep learning models for object detection, segmentation, and classification. Use frameworks like YOLO, OpenCV, TensorFlow, and PyTorch to deliver high-performing models. Validate model accuracy against customer specifications and datasets. 2. CV Pipeline Implementation Develop modular and maintainable computer vision pipelines using Python. Integrate pre-processing, inference, and post-processing components for edge and server-side deployments. 3. Hardware & Deployment Support Work with industrial cameras, Jetson edge devices, and Linux-based systems for field deployment. Support hardware selection and calibration, assist with on-site installations and provide deployment troubleshooting. 4. Testing & Quality Assurance Write and execute test cases to ensure system functionality and robustness in diverse environments. Collaborate with QA and support teams to resolve performance issues. 5. Documentation & Collaboration Document architecture, model performance, and system configurations. Participate in code reviews and peer programming sessions. Coordinate with team leads and project managers to align with delivery timelines. Qualifications & Experience Education: Bachelor’s in Computer Science, Electronics, or related engineering field. Master’s degree or certifications in AI/ML is a plus. Experience: 3–6 years of hands-on experience in computer vision development, preferably in industrial or real-time environments. Key Technical Skills Proficiency in Python and OpenCV. Experience with deep learning libraries: PyTorch, TensorFlow, Keras. Familiarity with YOLO models (v5/v8), CNNs, object tracking, and segmentation. Working knowledge of Linux environments, Git, and basic shell scripting. Experience with Jetson Nano/Xavier, DeepStream SDK is preferred. Understanding of camera configuration, lighting setups, and imaging constraints. Experience deploying models on edge or embedded devices is a strong advantage. Soft Skills Strong debugging and problem-solving skills. Team player with a willingness to learn and adapt. Effective communicator capable of interfacing with both engineering and customer teams. Disciplined in documentation and reporting. Why Join Hypervise? Build solutions that are deployed across real industrial environments. Work alongside passionate technologists in a startup culture. Access to advanced tools, data, and edge-AI hardware. Be part of a company leading the industrial AI revolution. Show more Show less

About Eternal Robotics – Hypervise Hypervise by Eternal Robotics is a cutting-edge industrial AI platform that enables real-time quality inspection, process control, and defect detection through advanced computer vision and deep learning technologies. We serve sectors such as automotive, apparel manufacturing, pharmaceuticals, and packaging by digitizing production lines and delivering operational efficiency through AI. Role Overview We are seeking a highly skilled and proactive Senior Computer Vision Engineer to architect and lead the development of AI-powered inspection systems and edge deployments. This is a mission-critical role responsible for delivering robust, production-grade computer vision solutions and leading junior engineers across projects and deployments. The ideal candidate thrives in a fast-paced environment, combines strong technical execution with cross-functional collaboration, and has a passion for solving real-world industrial problems using vision AI. Key Responsibilities 1. Project Management & Technical Leadership Lead and monitor end-to-end execution of CV/AI projects from requirement gathering to final deployment. Collaborate with cross-functional teams (Product, Hardware, QA, Customer Success) to align project milestones. Regularly update stakeholders and prepare detailed technical and status reports. 2. Client Engagement & Time Management Engage with customers to understand and translate use-case requirements into engineering specifications. Manage expectations on delivery timelines and provide technical demonstrations or updates. Support sales/pre-sales efforts with feasibility analysis, proof-of-concept (PoC) development, and architecture design. 3. CV Pipeline Development & Code Quality Design scalable and reusable CV pipelines using best practices in modular software architecture. Lead code reviews and mentor junior team members to ensure code consistency and maintainability. Integrate various components including ML models, camera streams, and decision layers. 4. Model Development & Optimization Train, evaluate, and optimize object detection, classification, and segmentation models. Utilize frameworks such as TensorFlow, PyTorch, and OpenCV, with specific emphasis on YOLO, DeepStream, and Jetson-compatible models. Implement pre- and post-processing pipelines to handle challenging industrial imaging conditions. 5. Testing, QA & Deployment Create test cases and validation protocols to verify system performance against customer specs. Supervise on-site and remote deployments; ensure robust integration of edge devices like Jetson Xavier/Nano and industrial cameras. Provide deployment support including remote debugging, calibration, and performance tuning. 6. Continuous Improvement & Innovation Experiment with state-of-the-art models and libraries to enhance detection accuracy and reduce latency. Identify and act on opportunities to enhance system resilience, processing speed, and resource utilization. Contribute to IP generation and internal technical documentation. Key Performance Indicators (KPIs) Model Accuracy: Precision and recall metrics in real production environments System Deployments: Number and success rate of on-time installations Resolution Time: Average TAT for solving deployment or inference issues On-Time Delivery: Project milestone adherence across sprints Quality of Deliverables: Measured via code audits, testing coverage, and system stability Customer Feedback: Direct user feedback and CSAT/NPS post-deployment Required Qualifications & Experience Education: Bachelor’s degree in Electronics, Computer Science, or related fields. Advanced degrees or certifications in AI/ML are a plus. Experience: 3+ years of hands-on experience in developing computer vision solutions, ideally in manufacturing, robotics, or industrial automation. Domain Experience: Experience with industrial cameras, inspection systems, and edge computing setups is highly preferred. Technical Skill Requirements Programming Languages: Python (primary), C++ (desirable) Frameworks & Libraries: OpenCV, TensorFlow, PyTorch, YOLO, DeepStream Edge Computing: Jetson Nano/Xavier, deployment on embedded devices Operating Systems: Linux (Ubuntu preferred), bash scripting System Integration: ROS, MQTT, GStreamer, Modbus/TCP/IP protocols Version Control & DevOps: Git/GitHub, Docker, CI/CD familiarity Additional Tools: VS Code, Jupyter, NVIDIA Nsight, Camera SDKs (FLIR, Basler, IDS, etc.) Soft Skills Strong analytical and debugging skills with a detail-oriented mindset. Clear and concise communication across technical and non-technical teams. Ownership mindset with the ability to lead and mentor junior engineers. Comfortable in agile, deadline-driven environments and willing to take initiative. Why Join Us? Build real-world AI systems that impact production lines globally. Work in a cross-disciplinary team of engineers, designers, and domain experts. Fast-track growth in a company at the forefront of AI transformation in manufacturing. Access to cutting-edge tools, datasets, and continuous learning opportunities. Show more Show less

Job Description: Business Analyst Role Overview: ER is seeking a highly motivated and entrepreneurial Business Analyst to join our team and play a pivotal role in delivering products and services to our valued customers. As a Business Analyst, you will be responsible for owning and managing the documentation aspects of projects, collaborating closely with Project Managers, Product Managers, technical teams, sales teams, and customers. Your role will be crucial in ensuring the successful execution and delivery of projects while adhering to ER's Project and Quality management policies. Responsibilities: Project Management: Gather and document customer requirements, ensuring a clear understanding of expectations. Prepare comprehensive project plans including milestones, budgets, resource allocation, and UAT plans. Create and maintain detailed project documentation throughout the project lifecycle. Agile Environment: Collaborate within an agile framework, adapting to changes and contributing to continuous improvement. Participate in agile ceremonies such as sprint planning, backlog grooming, and retrospectives. Cross-Functional Collaboration: Work closely with Project Managers, Product Managers, technical teams, and other stakeholders to deliver successful projects. Provide valuable insights and feedback to enhance project processes and outcomes. Communication Liaison: Facilitate effective communication between technical teams and sales teams during pre-sales activities. Act as a bridge between customer teams and delivery teams, ensuring smooth communication during project execution. Quality Compliance: Ensure that all projects adhere to ER's Project and Quality management policies and processes. Perform regular quality checks and ensure project documentation is accurate and up to date. Pre-sales Support: Assist in pre-sales activities by providing documentation support and addressing customer queries. Ensure alignment between customer expectations and project capabilities. Independent Contributor: Demonstrate self-motivation and the ability to work independently while contributing effectively to cross-functional teams. Qualifications and Experience: Bachelor's degree in Business, Computer Science, Engineering, or a related field. Proven experience as a Business Analyst in delivering complex IT and OT projects. Strong knowledge of agile methodologies and experience working in agile environments. Excellent documentation skills with the ability to create detailed project plans, requirements documents, and UAT plans. Exceptional communication skills, both written and verbal, with the ability to interact effectively with technical and non-technical stakeholders. Startup Founder / Operator Experience preferred. Ability to multitask, manage priorities, and adapt to changes in a dynamic environment. Strong problem-solving skills with a focus on delivering customer-centric solutions. Proficiency in project management tools, collaboration platforms like Jira, Miro, CRM, and MS Office suite. Self-driven and proactive mindset, capable of taking ownership and driving initiatives. Abilities in prompt engineering and usage of Generative AI tools for productivity enhancement is a plus Key Result Areas (KRA) & Key Performance Indicators (KPIs) Project Documentation Percentage of projects with accurate and comprehensive project plans, milestones, budgets, and UAT plans. Communication Effectiveness Average response time to queries from technical teams, sales teams, and customers during project execution. Quality Compliance Percentage of projects compliant with ER's Project and Quality management policies and processes. Project Outcome Percentage of projects delivered within the specified scope, budget, and timeline. Stakeholder Management Quality of relationship established with technical teams, sales teams, and customers. Agile Collaboration Adherence to agile ceremonies (e.g., sprint planning, backlog grooming, retrospectives). Contribution to continuous improvement initiatives within the agile framework. Pre-sales Support Timeliness and accuracy of documentation provided for pre-sales activities. Alignment between customer expectations set during pre-sales and actual project capabilities. Why Join ER: Joining ER means being part of a dynamic and innovative team that is driving digital transformation across industries. As a Business Analyst, you will play a critical role in shaping and delivering cutting-edge Hypervise services to our clients. We offer a collaborative work environment, opportunities for professional growth, and the chance to work on challenging projects that make a real impact. Show more Show less

Eternal Robotics is leading the charge in the Industrial AI space with its flagship platform, Hypervise - an advanced AI solution for Industrial Process Control. Utilizing the latest in Computer Vision and Deep Learning, Hypervise empowers industries to enhance productivity, ensure safety, and drive innovation. With a focus on systems integration, ER is committed to delivering comprehensive solutions that bridge the gap between Information Technology (IT) and Operational Technology (OT). We are on the lookout for a Software Engineering Manager with AI/ML and Full Stack Software expertise to lead project management and deliveries to our customers. Purpose of Role: The Software Engineering Manager will lead the end-to-end planning, coordination, and execution of software and AI development projects involving Full Stack Developers, Lead Computer Vision Engineers, and the Data Annotation team. This role ensures seamless cross-functional collaboration across QA/QC testing, Business Analysis, Hardware, and Supply Chain teams to deliver high-quality, integrated solutions on time. The SDM is accountable for technical task management, milestone delivery, integration planning, and stakeholder reporting, working closely with the Delivery Manager. Key Responsibilities Team & Technical Leadership Lead and manage Full Stack Developers, CV Engineers, and Annotation team members across multiple AI/ML projects. Translate project requirements into structured development tasks and allocate them across team members. Ensure development teams follow best practices in coding, integration, and documentation. Project Planning & Delivery Break down project deliverables into detailed sprint-level milestones. Ensure adherence to timelines and budget while maintaining quality standards. Drive integration of software with AI, hardware, and testing components, ensuring end-to-end system readiness. Task Management & Monitoring Use agile project management tools (e.g., JIRA, Trello) to monitor progress, manage sprint backlogs, and oversee task execution. Track and report task completion against planned timelines to Delivery Manager and other stakeholders. Progress Reporting & Stakeholder Communication Prepare and present weekly progress updates for internal leadership and clients. Communicate risks, blockers, and proposed mitigations clearly and promptly. Building and maintaining strong relationships with customers and partners. Quality & Process Excellence Enforce adherence to software quality standards, code review protocols, and CI/CD practices. Drive continuous improvement by incorporating feedback and retrospectives into future planning. Cross-Functional Collaboration Coordinate with Business Analysts for requirement discovery and documentation. Collaborate with QA/QC teams to establish validation protocols and ensure test readiness. Interface with Hardware and Supply Chain teams to align software deployment with hardware readiness and logistics. Key Result Areas (KRAs): Software Delivery Cross-Functional Execution Team Productivity Quality Assurance Stakeholder Communication Resource Management Continuous Improvement Key Performance Indicators (KPIs): % of sprint deliverables completed on time; bug count post-release On-time readiness for hardware integration and testing cycles Story points delivered per sprint; developer velocity trends % of test cases passed on first run; number of hot fixes post-deployment Timeliness and clarity of weekly reports and risk escalations Efficient workload balancing; unplanned attrition or burnout indicators Number of processes/tools improved; adoption of new practices/technologies Qualifications & Experience Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 8+ years of experience in software development, with 3+ years in a management role. Experience in managing full stack teams and delivering integrated solutions involving AI or computer vision. Strong exposure to Agile/Scrum methodologies and project tracking tools. Experience working with cross-functional hardware/software teams is highly preferred. Technical & Soft Skills Proficiency in modern development stacks (Python, Node.js, React, etc.) Familiarity with version control (Git), CI/CD pipelines, and cloud platforms. Strong leadership and mentoring abilities. Excellent verbal and written communication skills. High level of ownership and accountability. Internal & External Stakeholders Internal: Delivery Manager, Business Analysts, CV Engineers, Full Stack Engineers, QA/Test Engineers, Hardware Leads, Supply Chain Managers External: Clients, Partners, Deployment Engineers Show more Show less

Experience: 8+ yrs Location: Delhi, India (On-site) Job Description Eternal Robotics is leading the charge in the Industrial AI space with its flagship platform, Hypervise —an advanced AI solution for Industrial Process Control. Utilizing the latest in Computer Vision and Deep Learning, Hypervise empowers industries to enhance productivity, ensure safety, and drive innovation. With a strong focus on systems integration, Eternal Robotics is committed to delivering comprehensive solutions that bridge the gap between Information Technology (IT) and Operational Technology (OT). We are on the lookout for a Software Engineering Manager with AI/ML and Full Stack expertise to lead project management and customer deliveries. Purpose of the Role: The Software Engineering Manager will lead end-to-end planning, coordination, and execution of software and AI development projects involving Full Stack Developers, Lead Computer Vision Engineers, and the Data Annotation team. This role ensures seamless cross-functional collaboration across QA/QC Testing, Business Analysis, Hardware, and Supply Chain teams to deliver high-quality, integrated solutions on time. The SEM is accountable for task management, milestone delivery, integration planning, and stakeholder communication, working closely with the Delivery Manager. Key Responsibilities Team & Technical Leadership Lead and manage Full Stack Developers, CV Engineers, and Annotation team members across multiple AI/ML projects. Translate project requirements into structured development tasks and allocate them to team members. Ensure development teams follow best practices in coding, integration, and documentation. Project Planning & Delivery Break down project deliverables into detailed sprint-level milestones. Ensure adherence to timelines and budgets while maintaining quality standards. Drive integration of software with AI, hardware, and testing components, ensuring end-to-end system readiness. Task Management & Monitoring Use agile project management tools (e.g., JIRA, Trello) to monitor progress, manage sprint backlogs, and oversee task execution. Track and report task completion against planned timelines to the Delivery Manager and other stakeholders. Progress Reporting & Stakeholder Communication Prepare and present weekly progress updates for internal leadership and clients. Communicate risks, blockers, and proposed mitigations clearly and promptly. Build and maintain strong relationships with customers and partners. Quality & Process Excellence Enforce adherence to software quality standards, code review protocols, and CI/CD practices. Drive continuous improvement by incorporating feedback and retrospectives into future planning. Cross-Functional Collaboration Coordinate with Business Analysts for requirement discovery and documentation. Collaborate with QA/QC teams to establish validation protocols and ensure test readiness. Interface with Hardware and Supply Chain teams to align software deployment with hardware readiness and logistics. Key Result Areas (KRAs): Software Delivery Cross-Functional Execution Team Productivity Quality Assurance Stakeholder Communication Resource Management Continuous Improvement Key Performance Indicators (KPIs): % of sprint deliverables completed on time; bug count post-release On-time readiness for hardware integration and testing cycles Story points delivered per sprint; developer velocity trends % of test cases passed on first run; number of hotfixes post-deployment Timeliness and clarity of weekly reports and risk escalations Efficient workload balancing; unplanned attrition or burnout indicators Number of processes/tools improved; adoption of new practices/technologies Qualifications & Experience Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 8+ years of experience in software development, with at least 3 years in a management role. Experience managing full stack teams and delivering integrated solutions involving AI or Computer Vision. Strong exposure to Agile/Scrum methodologies and project tracking tools. Experience working with cross-functional hardware/software teams is highly preferred. Technical & Soft Skills Proficiency in modern development stacks (Python, Node.js, React, etc.) Familiarity with version control (Git), CI/CD pipelines, and cloud platforms Strong leadership and mentoring abilities Excellent verbal and written communication skills High level of ownership and accountability Internal & External Stakeholders Internal: Delivery Manager, Business Analysts, CV Engineers, Full Stack Engineers, QA/Test Engineers, Hardware Leads, Supply Chain Managers External: Clients, Partners, Deployment Engineers

Experience: 3+ yrs Location: Delhi, India (On-site) Job Description Hypervise by Eternal Robotics is a cutting-edge industrial AI platform that enables real-time quality inspection, process control, and defect detection through advanced computer vision and deep learning technologies. We serve sectors such as automotive, apparel manufacturing, pharmaceuticals, and packaging by digitizing production lines and delivering operational efficiency through AI. Role Overview We are seeking a highly skilled and proactive Lead Engineer – Computer Vision to architect and lead the development of AI-powered inspection systems and edge deployments. This is a mission-critical role responsible for delivering robust, production-grade computer vision solutions while leading junior engineers across projects and deployments. The ideal candidate thrives in a fast-paced environment, combines strong technical execution with cross-functional collaboration, and has a passion for solving real-world industrial problems using vision AI. Key Responsibilities 1. Project Management & Technical Leadership Lead and monitor end-to-end execution of CV/AI projects, from requirement gathering to final deployment. Collaborate with cross-functional teams (Product, Hardware, QA, Customer Success) to align project milestones. Regularly update stakeholders and prepare detailed technical and status reports. 2. Client Engagement & Time Management Engage with customers to understand and translate use-case requirements into engineering specifications. Manage expectations on delivery timelines and provide technical demonstrations or updates. Support sales/pre-sales efforts with feasibility analysis, proof-of-concept (PoC) development, and architecture design. 3. CV Pipeline Development & Code Quality Design scalable and reusable CV pipelines using best practices in modular software architecture. Lead code reviews and mentor junior team members to ensure consistency and maintainability. Integrate components including ML models, camera streams, and decision layers. 4. Model Development & Optimization Train, evaluate, and optimize object detection, classification, and segmentation models. Utilize frameworks such as TensorFlow, PyTorch, and OpenCV, with an emphasis on YOLO, DeepStream, and Jetson-compatible models. Implement pre- and post-processing pipelines to address challenging industrial imaging conditions. 5. Testing, QA & Deployment Create test cases and validation protocols to verify system performance against customer specs. Supervise on-site and remote deployments; ensure robust integration of edge devices like Jetson Xavier/Nano and industrial cameras. Provide deployment support including remote debugging, calibration, and performance tuning. 6. Continuous Improvement & Innovation Experiment with state-of-the-art models and libraries to enhance detection accuracy and reduce latency. Identify and act on opportunities to improve system resilience, processing speed, and resource utilization. Contribute to IP generation and internal technical documentation. Key Performance Indicators (KPIs) Model Accuracy: Precision and recall metrics in real production environments System Deployments: Number and success rate of on-time installations Resolution Time: Average TAT for solving deployment or inference issues On-Time Delivery: Project milestone adherence across sprints Quality of Deliverables: Based on code audits, testing coverage, and system stability Customer Feedback: Direct user feedback and CSAT/NPS post-deployment Required Qualifications & Experience Education: Bachelor’s degree in Electronics, Computer Science, or a related field. Advanced degrees or certifications in AI/ML are a plus. Experience: 3+ years of hands-on experience in developing computer vision solutions, ideally in manufacturing, robotics, or industrial automation. Domain Knowledge: Experience with industrial cameras, inspection systems, and edge computing setups is highly preferred. Technical Skills Languages: Python (primary), C++ (desirable) Frameworks/Libraries: OpenCV, TensorFlow, PyTorch, YOLO, DeepStream Edge Computing: Jetson Nano/Xavier, deployment on embedded devices Operating Systems: Linux (Ubuntu preferred), bash scripting Integration: ROS, MQTT, GStreamer, Modbus/TCP/IP DevOps: Git/GitHub, Docker, CI/CD familiarity Tools: VS Code, Jupyter, NVIDIA Nsight, camera SDKs (FLIR, Basler, IDS, etc.) Soft Skills Strong analytical and debugging skills with a detail-oriented mindset Clear and concise communication across technical and non-technical teams Ownership mindset with the ability to lead and mentor junior engineers Comfortable in agile, deadline-driven environments and willing to take initiative Why Join Us? Build real-world AI systems that impact global production lines Work in a cross-disciplinary team of engineers, designers, and domain experts Fast-track your growth in a company at the forefront of AI transformation in manufacturing Access cutting-edge tools, datasets, and continuous learning opportunities

Experience: 8+ yrs Location: Hyderabad, Telangana Job Description Responsibilities: As a Technical Project Manager at Eternal Robotics , you will play a crucial role in leading and overseeing our AI/ML computer vision projects. Your responsibilities include: Project Leadership: Lead end-to-end project management, from initiation to successful completion, ensuring adherence to timelines and budgets. Team Coordination: Collaborate effectively with cross-functional teams, including computer vision engineers, web developers, and other stakeholders, to define project scopes, objectives, and deliverables. Project Planning: Develop comprehensive project plans, including scope, schedules, and resource allocation to guide execution. Project Monitoring: Use project management tools like Jira to monitor progress, track milestones, and ensure timely issue resolution. Provide regular status updates to stakeholders. Resource Management: Efficiently allocate and manage project resources, including personnel, equipment, and budgets. Risk Management: Identify potential risks and challenges, and develop proactive mitigation strategies. Quality Assurance: Ensure the highest standards of quality in deliverables, overseeing testing and validation processes. Technology Expertise: Apply your knowledge of computer vision technologies to guide the team, make informed decisions, and provide technical leadership. Documentation: Prepare detailed project documentation, reports, and status updates for internal and external stakeholders. Requirements: To excel in this role, you should have: A Bachelor’s degree in Computer Science; a Master’s degree is a plus. At least 8 years of experience in technical project management, with a strong background in computer vision projects and web development. Proven expertise in computer vision technologies and applications. Proficiency in project management methodologies and tools; experience with Jira is preferred. Exceptional leadership and communication skills. Strong problem-solving and analytical abilities. A client-focused mindset with a commitment to delivering high-quality solutions. The ability to work effectively in a collaborative, cross-functional team environment. PMP or other relevant certifications (preferred). Key Result Areas and Performance Indicators: The key result areas (KRAs) and performance indicators for the Technical Project Manager role include: Project Management: Ensure successful delivery of projects as per customer commitments. Deliver projects on time, within budget, and with the desired quality. Customer Satisfaction: Ensure high customer satisfaction through effective project delivery and stakeholder management. Maintain a high customer satisfaction score. Ensure zero escalations or unresolved issues from key stakeholders. Prevent any major impact on revenue or repeat business due to escalations. Improvements and Innovations: Identify and implement initiatives to improve throughput and productivity. Resource Management: Ensure effective and efficient resource utilization. Provide input for team capacity building. Develop individual development plans and ensure team members possess the necessary skills and capabilities.

Experience: 8+ yrs Location: Delhi, India (On-site) Job Description Eternal Robotics is leading the charge in the Industrial AI space with its flagship platform, Hypervise —an advanced AI solution for Industrial Process Control. Utilizing the latest in Computer Vision and Deep Learning, Hypervise empowers industries to enhance productivity, ensure safety, and drive innovation. With a strong focus on systems integration, Eternal Robotics is committed to delivering comprehensive solutions that bridge the gap between Information Technology (IT) and Operational Technology (OT). We are on the lookout for a Software Engineering Manager with AI/ML and Full Stack expertise to lead project management and customer deliveries. Purpose of the Role: The Software Engineering Manager will lead end-to-end planning, coordination, and execution of software and AI development projects involving Full Stack Developers, Lead Computer Vision Engineers, and the Data Annotation team. This role ensures seamless cross-functional collaboration across QA/QC Testing, Business Analysis, Hardware, and Supply Chain teams to deliver high-quality, integrated solutions on time. The SEM is accountable for task management, milestone delivery, integration planning, and stakeholder communication, working closely with the Delivery Manager. Key Responsibilities Team & Technical Leadership Lead and manage Full Stack Developers, CV Engineers, and Annotation team members across multiple AI/ML projects. Translate project requirements into structured development tasks and allocate them to team members. Ensure development teams follow best practices in coding, integration, and documentation. Project Planning & Delivery Break down project deliverables into detailed sprint-level milestones. Ensure adherence to timelines and budgets while maintaining quality standards. Drive integration of software with AI, hardware, and testing components, ensuring end-to-end system readiness. Task Management & Monitoring Use agile project management tools (e.g., JIRA, Trello) to monitor progress, manage sprint backlogs, and oversee task execution. Track and report task completion against planned timelines to the Delivery Manager and other stakeholders. Progress Reporting & Stakeholder Communication Prepare and present weekly progress updates for internal leadership and clients. Communicate risks, blockers, and proposed mitigations clearly and promptly. Build and maintain strong relationships with customers and partners. Quality & Process Excellence Enforce adherence to software quality standards, code review protocols, and CI/CD practices. Drive continuous improvement by incorporating feedback and retrospectives into future planning. Cross-Functional Collaboration Coordinate with Business Analysts for requirement discovery and documentation. Collaborate with QA/QC teams to establish validation protocols and ensure test readiness. Interface with Hardware and Supply Chain teams to align software deployment with hardware readiness and logistics. Key Result Areas (KRAs): Software Delivery Cross-Functional Execution Team Productivity Quality Assurance Stakeholder Communication Resource Management Continuous Improvement Key Performance Indicators (KPIs): % of sprint deliverables completed on time; bug count post-release On-time readiness for hardware integration and testing cycles Story points delivered per sprint; developer velocity trends % of test cases passed on first run; number of hotfixes post-deployment Timeliness and clarity of weekly reports and risk escalations Efficient workload balancing; unplanned attrition or burnout indicators Number of processes/tools improved; adoption of new practices/technologies Qualifications & Experience Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 8+ years of experience in software development, with at least 3 years in a management role. Experience managing full stack teams and delivering integrated solutions involving AI or Computer Vision. Strong exposure to Agile/Scrum methodologies and project tracking tools. Experience working with cross-functional hardware/software teams is highly preferred. Technical & Soft Skills Proficiency in modern development stacks (Python, Node.js, React, etc.) Familiarity with version control (Git), CI/CD pipelines, and cloud platforms Strong leadership and mentoring abilities Excellent verbal and written communication skills High level of ownership and accountability Internal & External Stakeholders Internal: Delivery Manager, Business Analysts, CV Engineers, Full Stack Engineers, QA/Test Engineers, Hardware Leads, Supply Chain Managers External: Clients, Partners, Deployment Engineers

Experience: 3+ yrs Location: Delhi, India (On-site) Job Description Hypervise by Eternal Robotics is a cutting-edge industrial AI platform that enables real-time quality inspection, process control, and defect detection through advanced computer vision and deep learning technologies. We serve sectors such as automotive, apparel manufacturing, pharmaceuticals, and packaging by digitizing production lines and delivering operational efficiency through AI. Role Overview We are seeking a highly skilled and proactive Lead Engineer – Computer Vision to architect and lead the development of AI-powered inspection systems and edge deployments. This is a mission-critical role responsible for delivering robust, production-grade computer vision solutions while leading junior engineers across projects and deployments. The ideal candidate thrives in a fast-paced environment, combines strong technical execution with cross-functional collaboration, and has a passion for solving real-world industrial problems using vision AI. Key Responsibilities 1. Project Management & Technical Leadership Lead and monitor end-to-end execution of CV/AI projects, from requirement gathering to final deployment. Collaborate with cross-functional teams (Product, Hardware, QA, Customer Success) to align project milestones. Regularly update stakeholders and prepare detailed technical and status reports. 2. Client Engagement & Time Management Engage with customers to understand and translate use-case requirements into engineering specifications. Manage expectations on delivery timelines and provide technical demonstrations or updates. Support sales/pre-sales efforts with feasibility analysis, proof-of-concept (PoC) development, and architecture design. 3. CV Pipeline Development & Code Quality Design scalable and reusable CV pipelines using best practices in modular software architecture. Lead code reviews and mentor junior team members to ensure consistency and maintainability. Integrate components including ML models, camera streams, and decision layers. 4. Model Development & Optimization Train, evaluate, and optimize object detection, classification, and segmentation models. Utilize frameworks such as TensorFlow, PyTorch, and OpenCV, with an emphasis on YOLO, DeepStream, and Jetson-compatible models. Implement pre- and post-processing pipelines to address challenging industrial imaging conditions. 5. Testing, QA & Deployment Create test cases and validation protocols to verify system performance against customer specs. Supervise on-site and remote deployments; ensure robust integration of edge devices like Jetson Xavier/Nano and industrial cameras. Provide deployment support including remote debugging, calibration, and performance tuning. 6. Continuous Improvement & Innovation Experiment with state-of-the-art models and libraries to enhance detection accuracy and reduce latency. Identify and act on opportunities to improve system resilience, processing speed, and resource utilization. Contribute to IP generation and internal technical documentation. Key Performance Indicators (KPIs) Model Accuracy: Precision and recall metrics in real production environments System Deployments: Number and success rate of on-time installations Resolution Time: Average TAT for solving deployment or inference issues On-Time Delivery: Project milestone adherence across sprints Quality of Deliverables: Based on code audits, testing coverage, and system stability Customer Feedback: Direct user feedback and CSAT/NPS post-deployment Required Qualifications & Experience Education: Bachelor’s degree in Electronics, Computer Science, or a related field. Advanced degrees or certifications in AI/ML are a plus. Experience: 3+ years of hands-on experience in developing computer vision solutions, ideally in manufacturing, robotics, or industrial automation. Domain Knowledge: Experience with industrial cameras, inspection systems, and edge computing setups is highly preferred. Technical Skills Languages: Python (primary), C++ (desirable) Frameworks/Libraries: OpenCV, TensorFlow, PyTorch, YOLO, DeepStream Edge Computing: Jetson Nano/Xavier, deployment on embedded devices Operating Systems: Linux (Ubuntu preferred), bash scripting Integration: ROS, MQTT, GStreamer, Modbus/TCP/IP DevOps: Git/GitHub, Docker, CI/CD familiarity Tools: VS Code, Jupyter, NVIDIA Nsight, camera SDKs (FLIR, Basler, IDS, etc.) Soft Skills Strong analytical and debugging skills with a detail-oriented mindset Clear and concise communication across technical and non-technical teams Ownership mindset with the ability to lead and mentor junior engineers Comfortable in agile, deadline-driven environments and willing to take initiative Why Join Us? Build real-world AI systems that impact global production lines Work in a cross-disciplinary team of engineers, designers, and domain experts Fast-track your growth in a company at the forefront of AI transformation in manufacturing Access cutting-edge tools, datasets, and continuous learning opportunities

Experience: 8+ yrs Location: Hyderabad, Telangana Job Description Responsibilities: As a Technical Project Manager at Eternal Robotics , you will play a crucial role in leading and overseeing our AI/ML computer vision projects. Your responsibilities include: Project Leadership: Lead end-to-end project management, from initiation to successful completion, ensuring adherence to timelines and budgets. Team Coordination: Collaborate effectively with cross-functional teams, including computer vision engineers, web developers, and other stakeholders, to define project scopes, objectives, and deliverables. Project Planning: Develop comprehensive project plans, including scope, schedules, and resource allocation to guide execution. Project Monitoring: Use project management tools like Jira to monitor progress, track milestones, and ensure timely issue resolution. Provide regular status updates to stakeholders. Resource Management: Efficiently allocate and manage project resources, including personnel, equipment, and budgets. Risk Management: Identify potential risks and challenges, and develop proactive mitigation strategies. Quality Assurance: Ensure the highest standards of quality in deliverables, overseeing testing and validation processes. Technology Expertise: Apply your knowledge of computer vision technologies to guide the team, make informed decisions, and provide technical leadership. Documentation: Prepare detailed project documentation, reports, and status updates for internal and external stakeholders. Requirements: To excel in this role, you should have: A Bachelor’s degree in Computer Science; a Master’s degree is a plus. At least 8 years of experience in technical project management, with a strong background in computer vision projects and web development. Proven expertise in computer vision technologies and applications. Proficiency in project management methodologies and tools; experience with Jira is preferred. Exceptional leadership and communication skills. Strong problem-solving and analytical abilities. A client-focused mindset with a commitment to delivering high-quality solutions. The ability to work effectively in a collaborative, cross-functional team environment. PMP or other relevant certifications (preferred). Key Result Areas and Performance Indicators: The key result areas (KRAs) and performance indicators for the Technical Project Manager role include: Project Management: Ensure successful delivery of projects as per customer commitments. Deliver projects on time, within budget, and with the desired quality. Customer Satisfaction: Ensure high customer satisfaction through effective project delivery and stakeholder management. Maintain a high customer satisfaction score. Ensure zero escalations or unresolved issues from key stakeholders. Prevent any major impact on revenue or repeat business due to escalations. Improvements and Innovations: Identify and implement initiatives to improve throughput and productivity. Resource Management: Ensure effective and efficient resource utilization. Provide input for team capacity building. Develop individual development plans and ensure team members possess the necessary skills and capabilities.

ER is a robotics AI company that is developing innovative products for the construction and manufacturing industries. Our automated interior wall painting robot, automated road lane marking robot, and Industrial Video AI SaaS platform (AI-based computer vision) are designed to provide our customers with the latest technology in robotics and AI. Eternal Robotics seeks a highly motivated and experienced Cross-Functional Regional Sales Manager to join our team. In this hybrid role, you will be responsible for sales of the entire product computer vision and strategy for our mobile Robots products and managing the delivery of customer projects for both product lines. You will work closely with the robotics and AI teams to ensure a successful product roadmap & vision and project delivery. Responsibilities: Sustaining business growth and profitability by maximizing the value of the ER product suite Contacting potential clients via email and phone to set up meetings, deliver sales pitches, impress customers, and win business for the company Understanding of different customers' manufacturing lines, processes, and controls architecture as a part of the initial requirement study in assisting the sales and proposal process Plan, direct, organize, and manage digital marketing on LinkedIn, Facebook etc., promotional campaigns through the right channels, events, and exhibitions both online and offline Preparing business proposals and internal reports, preparing quotations, offers, and sales presentations; Drafting and reviewing commercial contracts and ensuring adherence to established rules and guidelines set by management Holding product demonstrations for customers to showcase the value of the product Translating customer requirements in terms of product features and feeding new feature requirements to the product development team to improve the product capabilities Should be ready for installation of products at customer’s site during unavailability/urgency of the tech team. Working with the product deployment team in validating product deliverables to customers Tracking deliverables to ensure timely delivery to customers Tracking customer issues and bringing in resolutions to ensure customer satisfaction Engaging with the customer to help them realize the benefits of the product so it becomes part of their regular routine Upselling services and products with the brand image Timely payment collection and follow-ups for payment Qualifications, Experience & Skills: Should be BE/ BTech/Diploma in Mechanical/ Electrical/ Computer Science / IT / Electronics & Telecommunications Engineering with a strong aptitude for technically advanced products 6-9 Years of Experience in B2B Business Development of Vision camera/ Computer Vision-Based software robotics products and solutions with demonstrated success in product launches and revenue growth Exceptional communication, presenting, and negotiation skills, social adept, ability to build rapport, conflict resolution; IT fluency in planning, prioritization, and time management Proficiency in MS Office, and CRM software, Strong in business mathematics, and P&L planning. Commercial and software application knowledge is a plus Ability to solve tough problems, handle pressure, and meet deadlines; Self-motivated to contribute and achieve in lean-team environments In-depth knowledge of the industry and its current events locally and nationally; Networking at and leveraging conferences, exhibitions, and related events KPIs: Achieve 100% of new customer account development target on every quarter Achieve 100% of sales order booking target Achieve 100% of Revenue target KRAs Customer lead generation, conversion, relationship management, and revenue growth; identifying and targeting untapped business potential for products and services Should be self-driven and should have its own set of databases of different industries like Pharma, Automotive, FMCG, White goods, heavy industries, and retails. Should be updated with market scenarios where new projects/expansions are being planned by existing/new customers. Documentation and management of communication, proposals, quotations, contracts, and business collateral Fluency in collaborating and working with management, marketing, sales and service teams Ability of doing sound research, providing key insights and recommendations to management on business strategies and tactics Communicating market feedback to product, engineering and service teams to ensure customer success Establish ER relations with potential customers in the India region Acquire detailed product knowledge of ER products and propose suitable solutions to potential customers Strict adherence to ER's compliance and integrity policies Preference The candidate with similar experience in a similar industry will have a high preference.

Job Description: Assistant Sales Manager Location: Ahmedabad / Delhi NCR (Hybrid) || Reports To Regional Sales Manager ER is a robotics AI company that is developing innovative products for the construction and manufacturing industries. Our automated interior wall painting robot, automated road lane marking robot, and Industrial Video AI SaaS platform (AI-based computer vision) are designed to provide our customers with the latest technology in robotics and AI. Eternal Robotics seeks a highly motivated and experienced Cross-Functional Assistant Sales Manager to join our team. In this hybrid role, you will be responsible for sales of the entire product computer vision and strategy for our mobile Robots products and managing the delivery of customer projects for both product lines. You will work closely with the robotics and AI teams to ensure a successful product roadmap & vision and project delivery. Responsibilities: Sustaining business growth and profitability by maximizing the value of the ER product suite Contacting potential clients via email and phone to set up meetings, deliver sales pitches, impress customers, and win business for the company Understanding of different customers' manufacturing lines, processes, and controls architecture as a part of the initial requirement study in assisting the sales and proposal process Plan, direct, organize, and manage digital marketing on LinkedIn, Facebook etc., promotional campaigns through the right channels, events, and exhibitions both online and offline Preparing business proposals and internal reports, preparing quotations, offers, and sales presentations; Drafting and reviewing commercial contracts and ensuring adherence to established rules and guidelines set by management Holding product demonstrations for customers to showcase the value of the product Translating customer requirements in terms of product features and feeding new feature requirements to the product development team to improve the product capabilities Should be ready for installation of products at customer’s site during unavailability/urgency of the tech team. Working with the product deployment team in validating product deliverables to customers Tracking deliverables to ensure timely delivery to customers Tracking customer issues and bringing in resolutions to ensure customer satisfaction Engaging with the customer to help them realize the benefits of the product so it becomes part of their regular routine Upselling services and products with the brand image Timely payment collection and follow-ups for payment Qualifications, Experience & Skills: Should be BE/ BTech/Diploma in Mechanical/ Electrical/ Computer Science / IT / Electronics & Telecommunications Engineering with a strong aptitude for technically advanced products 3-6 Years of Experience in B2B Business Development of Vision camera/ Computer Vision-Based software robotics products and solutions with demonstrated success in product launches and revenue growth Exceptional communication, presenting, and negotiation skills, social adept, ability to build rapport, conflict resolution; IT fluency in planning, prioritization, and time management Proficiency in MS Office, and CRM software, Strong in business mathematics, and P&L planning. Commercial and software application knowledge is a plus Ability to solve tough problems, handle pressure, and meet deadlines; Self-motivated to contribute and achieve in lean-team environments In-depth knowledge of the industry and its current events locally and nationally; Networking at and leveraging conferences, exhibitions, and related events KPIs: Achieve 100% of new customer account development target on every quarter Achieve 100% of sales order booking target Achieve 100% of Revenue target KRAs Customer lead generation, conversion, relationship management, and revenue growth; identifying and targeting untapped business potential for products and services Should be self-driven and should have its own set of databases of different industries like Pharma, Automotive, FMCG, White goods, heavy industries, and retails. Should be updated with market scenarios where new projects/expansions are being planned by existing/new customers. Documentation and management of communication, proposals, quotations, contracts, and business collateral Fluency in collaborating and working with management, marketing, sales and service teams Ability of doing sound research, providing key insights and recommendations to management on business strategies and tactics Communicating market feedback to product, engineering and service teams to ensure customer success Establish ER relations with potential customers in the India region Acquire detailed product knowledge of ER products and propose suitable solutions to potential customers Strict adherence to ER's compliance and integrity policies Preference The candidate with experience in a selling machine vision systems to discrete manufacturing industry will have a high preference.

About Eternal Robotics – Hypervise Hypervise is the flagship industrial AI platform of Eternal Robotics, built to transform real-time quality inspection and automation through advanced computer vision and edge AI. Our clients span automotive, apparel, pharmaceuticals, and more — industries where speed, accuracy, and reliability are mission-critical. Role Overview We are looking for a AI Engineer - Computer Vision with 3–6 years of experience to develop and deploy production-grade CV solutions across our customer sites. This role combines hands-on development of models and algorithms with end-to-end ownership of system integration, testing, and deployment in real-world industrial environments. You will work closely with senior engineers, product leads, and customer teams to bring CV/AI projects to life and continuously improve solution performance. Key Responsibilities 1. Model Development & Testing Build and optimize deep learning models for object detection, segmentation, and classification. Use frameworks like YOLO, OpenCV, TensorFlow, and PyTorch to deliver high-performing models. Validate model accuracy against customer specifications and datasets. 2. CV Pipeline Implementation Develop modular and maintainable computer vision pipelines using Python. Integrate pre-processing, inference, and post-processing components for edge and server-side deployments. 3. Hardware & Deployment Support Work with industrial cameras, Jetson edge devices, and Linux-based systems for field deployment. Support hardware selection and calibration, assist with on-site installations and provide deployment troubleshooting. 4. Testing & Quality Assurance Write and execute test cases to ensure system functionality and robustness in diverse environments. Collaborate with QA and support teams to resolve performance issues. 5. Documentation & Collaboration Document architecture, model performance, and system configurations. Participate in code reviews and peer programming sessions. Coordinate with team leads and project managers to align with delivery timelines. Qualifications & Experience Education: Bachelor’s in Computer Science, Electronics, or related engineering field. Master’s degree or certifications in AI/ML is a plus. Experience: 3–6 years of hands-on experience in computer vision development, preferably in industrial or real-time environments. Key Technical Skills Proficiency in Python and OpenCV. Experience with deep learning libraries: PyTorch, TensorFlow, Keras. Familiarity with YOLO models (v5/v8), CNNs, object tracking, and segmentation. Working knowledge of Linux environments, Git, and basic shell scripting. Experience with Jetson Nano/Xavier, DeepStream SDK is preferred. Understanding of camera configuration, lighting setups, and imaging constraints. Experience deploying models on edge or embedded devices is a strong advantage. Soft Skills Strong debugging and problem-solving skills. Team player with a willingness to learn and adapt. Effective communicator capable of interfacing with both engineering and customer teams. Disciplined in documentation and reporting. Why Join Hypervise? Build solutions that are deployed across real industrial environments. Work alongside passionate technologists in a startup culture. Access to advanced tools, data, and edge-AI hardware. Be part of a company leading the industrial AI revolution.

Responsibilities: As a Technical Project Manager at Eternal Robotics, you will play a crucial role in leading and overseeing our AI/ML computer vision projects. Your responsibilities include: Project Leadership: Take charge of end-to-end project management, from project initiation to successful completion, ensuring adherence to timelines and budgets. Team Coordination: Collaborate effectively with cross-functional teams, including computer vision engineers, web developers, and other stakeholders, to define project scopes, objectives, and deliverables. Project Planning: Develop comprehensive project plans, including scope, schedules, and resource allocation to guide project execution. Project Monitoring: Use project management tools like Jira to monitor project progress, track milestones, and ensure timely issue resolution. Ensure timely reporting of project status to all stakeholders. Resource Management: Efficiently allocate and manage project resources, including personnel, equipment, and budgets. Risk Management: Identify potential risks and challenges in project delivery and develop strategies to mitigate them proactively. Quality Assurance: Maintain the highest standards of quality in project deliverables, overseeing testing and validation processes. Technology Expertise: Leverage your expertise in computer vision technologies to guide the project team, make informed decisions, and provide technical leadership. Documentation: Prepare detailed project documentation, reports, and status updates for both internal and external stakeholders. Requirements: To excel in this role, you should possess: A Bachelor's degree in computer science; a Master's degree is a plus. A minimum of 8 years of experience in technical project management, with a strong background in computer vision projects and web development. Proven expertise in computer vision technologies and applications. Proficiency in project management methodologies and tools, with experience in Jira preferred. Exceptional leadership and communication skills. Strong problem-solving and analytical abilities. Client-focused mindset with a commitment to delivering high-quality solutions. The ability to work effectively in a collaborative, cross-functional team environment. PMP or other relevant certifications are advantageous. Key Result Areas and Performance Indicators Following are the key result areas and key performance indicators for the role of technical project manager Project Management - Ensure successful delivery of projects as per the commitments to the customers Projects are delivered on time, and within budget with desired quality Customer satisfaction - ensuring customer satisfaction through successful delivery of projects and effective stakeholder management Customer satisfaction score Ensure zero escalations or unresolved issues from key stakeholders. No major impact on revenue or repeat business due to escalations Improvements and Innovations - identify and implement improvement initiatives Implement improvement initiatives to increase the throughput and productivity of the project team/s Resource Management - effective and efficient usage of resources Utilization of resources Provide inputs for team capacity building, develop individual development plans for project team members and ensure the team members have the desired skills and capabilities.

Eternal Robotics is a fast-growing organization committed to operational excellence and strategic growth. As part of our expansion, we are looking for a dynamic Finance Manager to lead and manage key financial operations, reporting, and compliance processes. Role Overview We are seeking a detail-oriented and experienced Finance Manager with strong expertise in financial reporting, statutory compliance, and strategic planning. This role demands a mix of analytical thinking, hands-on accounting expertise, and the ability to collaborate with cross-functional teams and senior leadership. You will be responsible for maintaining financial discipline, ensuring regulatory compliance, and enabling data-driven decision-making through timely and accurate reporting. Key Responsibilities Financial Planning & Reporting Lead budgeting, forecasting, and cash flow management processes. Prepare monthly, quarterly, and annual financial statements. Ensure timely closure of books and accurate financial reporting. Compliance & Audits Manage statutory, internal, and tax audits. Ensure compliance with GST, TDS, PF, PT, and other regulatory requirements. Maintain up-to-date documentation and statutory records. Accounts Management Oversee accounts payable and receivable, vendor payments, and expense tracking. Process reimbursements and handle bank reconciliations. Stakeholder Reporting & Analysis Create MIS reports for management and investors. Support strategic decision-making through data analysis and financial modeling. Cross-Functional Collaboration Coordinate with HR, Admin, and leadership teams for payroll, taxation, and operations. Support financial planning for internal initiatives and business goals. Qualifications & Experience Bachelor’s degree in Finance, Accounting, or related field. CA/MBA (Finance) preferred. 5–8 years of experience in financial management, preferably in a fast-paced or startup environment. Technical Skills Strong command over Indian accounting standards and compliance regulations. Proficiency in Excel and financial tools; experience with accounting software. Experience handling audits, payroll systems, and statutory filings. Soft Skills High attention to detail and organizational skills. Strong communication and stakeholder management. Proactive problem-solving and analytical thinking. Ability to manage multiple priorities under tight deadlines. Key Result Areas (KRAs) Accurate and timely financial reporting. Compliance with statutory and regulatory deadlines. Effective budget planning and cost control. Timely completion of audits with minimal observations.

About Eternal Robotics Hypervise Eternal Robotics" flagship industrial AI platform, Hypervise, is designed to revolutionize real-time quality inspection and automation by leveraging advanced computer vision and edge AI technologies. The clients of Hypervise operate in diverse sectors such as automotive, apparel, and pharmaceuticals where speed, precision, and reliability are crucial for their operations. Role Overview As a seasoned Senior Mechatronics Engineer at Eternal Robotics, you will be responsible for system architecture design, component selection, and hands-on automation deployment. Your role will involve conceptualizing and delivering mechatronic systems that seamlessly integrate mechanical, electrical, and AI-driven technologies. Collaboration with cross-functional teams, including software, AI, and hardware engineers, will be essential to ensure the successful execution and deployment of Hypervise-based automation solutions in client environments. Key Responsibilities Engineering Systems Design - Architect end-to-end automation systems by integrating mechanical, electrical, and AI components. - Develop system flow diagrams, functional architecture, and DFMEA documentation. - Translate business and technical requirements into efficient system designs. Electronics & Component Selection - Evaluate and select appropriate sensors, actuators, controllers, and electronics. - Prepare BOMs to ensure cost-effectiveness, performance, and compatibility. Mechanical-Electronic Integration - Collaborate with mechanical engineers to ensure the seamless integration of mechanical and electronic systems. - Support structural and functional alignment throughout the design process. Integration Testing - Design and document unit/system test cases for validation and debugging. - Conduct integration testing to achieve >90% FAT and 100% SAT success rates. - Identify, analyze, and resolve issues before deployment. Hypervise Deployment - Lead and support the deployment of Hypervise systems into production. - Engage with field teams for on-site implementation, configuration, and troubleshooting. - Monitor and optimize system performance post-deployment. Qualifications & Experience - Bachelor's degree in Mechatronics, Robotics, or a related engineering discipline (Master's preferred). - Minimum of 5 years of experience in automation, system integration, or mechatronics. Technical Skills - Proficiency in CAD tools (SolidWorks, AutoCAD) for mechanical design. - Strong understanding of control systems, sensors, actuators, and PLC/SCADA platforms. - Programming experience in C++, Python, and PLC environments. - Familiarity with communication protocols: Modbus, Profinet, Ethernet/IP, TCP/IP. - Experience with machine vision systems, robotic arms, and 3D vision is advantageous. Soft Skills - Strong analytical and problem-solving abilities. - Excellent verbal and written communication skills. - Ability to coordinate with cross-functional and customer-facing teams. - Detail-oriented and focused on documentation. Key Result Areas (KRAs) - Accurate and timely development of system architecture. - Efficient and performance-driven component selection. - High-quality mechanical-electronic integration. - Effective execution of integration testing with minimal rework. - Timely and seamless deployment of Hypervise systems. Key Performance Indicators (KPIs) - Percentage of projects delivered on time with efficient architectures. - Number of successful POCs leading to client wins. - BOM cost-performance balance and completeness. - DFMEA and system documentation quality. - Integration test scores: 90% FAT, 100% SAT. - Turnaround times: 3 weeks (Planning), 10 days (Functional Testing), 6 days (FAT). - Positive stakeholder feedback and satisfaction ratings.,

As a Senior Mechatronics Engineer at Eternal Robotics Hypervise, you will be instrumental in designing and implementing cutting-edge automation systems that leverage advanced computer vision and edge AI technologies. Your role will involve collaborating with multidisciplinary teams to ensure the successful deployment of Hypervise-based solutions in various industries such as automotive, apparel, and pharmaceuticals. Your primary responsibilities will include engineering system design, electronics and component selection, mechanical-electronic integration, integration testing, and deployment of Hypervise systems. You will be required to architect end-to-end automation systems, evaluate and select suitable sensors and electronics, collaborate with mechanical engineers for seamless integration, design and conduct integration tests, and lead the deployment process. To excel in this role, you should hold a Bachelor's degree in Mechatronics, Robotics, or a related engineering discipline with a minimum of 5 years of experience in automation, system integration, or mechatronics. Proficiency in CAD tools like SolidWorks and AutoCAD, a strong grasp of control systems, sensors, actuators, and programming languages such as C++, Python, and PLC environments are essential. Familiarity with communication protocols and experience with machine vision systems and robotic arms will be advantageous. Apart from technical skills, the role also requires strong analytical and problem-solving abilities, excellent communication skills, and the ability to collaborate effectively with cross-functional and customer-facing teams. Being detail-oriented and documentation-focused is crucial for success in this position. Your success will be measured based on key result areas such as accurate system architecture development, efficient component selection, high-quality integration, effective execution of integration testing, and timely deployment of Hypervise systems. Key performance indicators will include project delivery timelines, successful POCs, cost-performance balance, documentation quality, integration test scores, and stakeholder satisfaction ratings. If you are passionate about leveraging AI technologies to revolutionize real-time quality inspection and automation in diverse industries, and possess the requisite technical and soft skills, we invite you to join our team at Eternal Robotics Hypervise and contribute to our mission of driving innovation and reliability in industrial automation.,