2 Jetson Nanoxavier Jobs

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 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 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 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. 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. 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. 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. 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. 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: Bachelors 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.,

Eternal Robotics Hypervise is a leading industrial AI platform specializing in real-time quality inspection, process control, and defect detection utilizing advanced computer vision and deep learning technologies. Our focus areas include automotive, apparel manufacturing, pharmaceuticals, and packaging, where we enhance operational efficiency through the digitization of production lines. As a Senior Computer Vision Engineer at Eternal Robotics, you will play a pivotal role in architecting and spearheading the development of AI-powered inspection systems and edge deployments. This role demands a proactive individual who can deliver robust computer vision solutions, guide junior engineers, and collaborate effectively across projects. If you thrive in a fast-paced environment and are passionate about solving industrial challenges using vision AI, this opportunity is for you. Your responsibilities will include project management, technical leadership, client engagement, code quality, model development, testing, deployment, continuous improvement, and innovation. You will lead end-to-end execution of CV/AI projects, collaborate with cross-functional teams, engage with customers to translate requirements into specifications, design scalable CV pipelines, optimize models, supervise deployments, and drive continuous enhancement. Key Performance Indicators (KPIs) for this role will focus on model accuracy in production environments, successful system deployments, resolution time for issues, on-time project deliveries, quality of deliverables, and customer feedback post-deployment. To excel in this role, you should possess a Bachelor's degree in Electronics, Computer Science, or related fields, with 3+ years of hands-on experience in developing computer vision solutions, particularly in manufacturing, robotics, or industrial automation. Additionally, familiarity with programming languages such as Python and C++, frameworks like OpenCV, TensorFlow, PyTorch, and tools including Jetson Nano/Xavier for edge computing is crucial. Soft skills like strong analytical abilities, effective communication, leadership, and agility in deadline-driven environments are essential. Join us at Eternal Robotics to work on impactful AI systems, collaborate with a diverse team, grow rapidly in the field of AI in manufacturing, and access cutting-edge tools and continuous learning opportunities.,