6 Jetson Nano Jobs

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 36 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: Bachelors in Computer Science, Electronics, or related engineering field. Masters degree or certifications in AI/ML is a plus. Experience: 36 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 Qluve At Qluve, were pioneering the future of elder care by combining intelligent robotics, compassionate AI, and human-centered design to ensure safety, dignity, and connection for older adults. Our mission is to empower elderly individuals to live more independently and joyfully, while providing peace of mind to families and caregivers. Qluve is creating adaptive systems that serve not just as tools, but as trusted partners in care through conversational AI, daily reminders, remote monitoring, and companionship. Join us in making care more intelligent, personal, and human. ? ????? What Youll Work O n Set up and configure Raspberry Pi or similar SB C Integrate sensors (camera, mic, speaker, presence detection ) Build simple embedded logic for user interaction (e.g., LED prompts, audio alerts ) Assist in designing the early casing (3D printed or custom enclosures ) Collaborate with AI and product team to sync software + hardware behavio r Contribute to early testing, debugging, and documentatio n ? ???? What Were Looking Fo r Familiarity with embedded Linux (Raspberry Pi, Jetson Nano, etc. ) Basic electronics and prototyping skills (GPIO, sensors, speakers ) Experience with Python/C++ for device contro l Curious mindset and willingness to test, iterate, and lear n Bonus: Interest in elderly care, accessibility, or robotics for social goo d ? ???? What Youll Gai n Be part of a meaningful startup from the ground u p Learn how to build real-world assistive tec h Hands-on experience with MVP development, hardware-software integratio n Your work will directly impact the lives of older adults around the worl d Show more Show less

As an Electronics Embedded Engineer, you will have the opportunity to work with Eeki (One of Uplers" Clients) in an office setting located in Kota. You will play a vital role in designing and testing embedded hardware interfaces for sensors and communication modules. Your responsibilities will include developing Product Requirement Documents (PRDs), system architecture, and supporting documentation throughout the product development lifecycle. You will be involved in schematic design, PCB layout, component selection, Bill of Materials (BOM) creation, Gerber file generation, and managing PCB manufacturing and assembly. Additionally, you will oversee board bring-up activities, manage vendors, handle import logistics for electronic components, plan project budgets, define test strategies, design custom test jigs, and manage product certification processes. The ideal candidate must possess skills in UART, Embedded Linux, SPI, I2C, Raspberry Pi, Eagle, and developing Product Requirement Documents (PRDs). You should also have experience in PCB bring-up, debugging, and validation, power optimization, signal integrity, and hardware integration of edge AI systems. Proficiency in schematic and PCB design tools such as Altium Designer, KiCAD, and Eagle is required for this role. In addition, there is an opportunity for a Manufacturing & Field Deployment Lead position where you will be responsible for developing low-level firmware for precise control and interfacing of sensors and camera modules. You will optimize and deploy edge machine learning (ML) models on embedded platforms like NVIDIA Jetson Nano and Raspberry Pi. Managing hardware interfaces for wireless connectivity, implementing Over-The-Air (OTA) update mechanisms, and designing strategies for efficient power management across edge computing systems and sensor networks are also crucial aspects of this role. To apply for this opportunity, follow the easy 3-step process: 1. Click on Apply! and register or log in on the portal. 2. Upload your updated resume and complete the screening form. 3. Increase your chances of getting shortlisted and meeting the client for an interview. If you are passionate about your work, eager to learn and grow, and committed to delivering exceptional results in the field of Electronics Embedded Engineering, this is the perfect opportunity for you. Join Eeki and be a part of a dynamic team that values innovation and excellence. Apply today and take your career to the next level with Uplers!,

As an Electronic Embedded Engineer at Eeki, you will be responsible for designing and testing embedded hardware interfaces for sensors and communication modules. Your key duties will include developing Product Requirement Documents (PRDs), system architecture, and supporting documentation throughout the product development lifecycle. You will also be involved in schematic design, PCB layout, component selection, Bill of Materials (BOM) creation, Gerber file generation, and managing PCB manufacturing and assembly. Additionally, you will oversee board bring-up activities, manage vendors, handle import logistics for electronic components, plan project budgets, define test strategies, design custom test jigs, and manage product certification processes. To excel in this role, you must possess skills in UART, Embedded Linux, SPI, I2C, Jetson Nano, Raspberry Pi, Altium Designer, KiCAD, Eagle, and developing PRDs. Your qualifications should include expertise in embedded Linux, PCB bring-up, debugging, validation, power optimization, signal integrity, and hardware integration of edge AI systems. Familiarity with schematic and PCB design tools such as Altium Designer, KiCAD, and Eagle is essential. Furthermore, as a Manufacturing & Field Deployment Lead, you will be responsible for developing low-level firmware for precise control and interfacing of sensors and camera modules. Your role will involve optimizing and deploying edge machine learning (ML) models on embedded platforms, managing hardware interfaces for wireless connectivity, implementing Over-The-Air (OTA) update mechanisms, and designing strategies for efficient power management across edge computing systems and sensor networks. To succeed in this position, you should have proficiency in C/C++ for embedded firmware, edge ML frameworks (TensorRT, OpenCV, PyTorch Lite), connectivity protocols (MQTT, HTTP, custom serial protocols), OTA frameworks, and power profiling techniques. The roles are based in Kota, Rajasthan, with a salary range of INR 4-6 LPA. The working hours are Monday to Saturday from 10 am to 6 pm. To apply for these opportunities, click on Apply! on the portal, register or login, complete the Screening Form, and upload your updated resume to increase your chances of getting shortlisted for an interview. Uplers is dedicated to simplifying and expediting the hiring process, providing support to all talents in finding and applying for relevant contractual onsite opportunities to advance their careers. If you are seeking a new challenge, a supportive work environment, and a chance to elevate your career, apply today and seize the opportunity to grow with us.,

As a Firmware Engineer with 3 to 5 years of experience and a B. Tech qualification, you will play a vital role in supporting the firmware development team for designing, developing, and producing firmware-supported products. Your responsibilities will include testing, documentation, and establishing firmware standards. Your key responsibilities will involve developing Embedded Firmware in C and C++ for 32/16/8-bit microcontrollers. You should have prior experience with microcontrollers such as STM32, MSP430, IMX, PIC32, and knowledge of at least one Real-Time Operating System (RTOS). Experience in working with peripherals like SPI, UART, I2C, and proficiency in tools like IAR, Keil, debuggers, MPLAB, and code composer will be essential. Additionally, familiarity with protocols like Zigbee, LoRa, Sigfox, Modbus, Profibus, or foundation field bus is mandatory. Prior experience in processor-based development and Linux driver, kernel, and bootloader development is highly desired. Knowledge of Version Control Systems (SVN, GitHub), basic hardware debugging skills, and tools such as CRO and Logic Analyzers are expected from the ideal candidate. Experience in Bootloader development will be an added advantage for this role.,

-Design, develop & debug embedded software for ARM, Intel & NVIDIA platforms -Develop & maintain DMA drivers & user-space application software for Linux & Windows -Develop real-time applications using RTOS & manage multi-threaded, pre-emptive systems Required Candidate profile Implement communication protocol (SPI, I2C, UART, TCP/IP / UDP) Create robust, maintainable C/C++ code Support system integration, bring-up activities Experience in MPSoCs & ARM Cortex-A/R/M processor