11 Jetson Nano Jobs

Job Title: Machine Learning Engineer Location: Jaipur Job Type: Full-Time About the Role We are looking for a Machine Learning Engineer with expertise in YOLO, custom ML models, and deep learning to join our team. If you have 4+ years of experience in developing and deploying computer vision solutions, this is an exciting opportunity to work on cutting-edge AI applications. Key Responsibilities Develop, train, fine-tune, and optimize YOLO-based object detection models (YOLOv5, YOLOv8, etc.). Design and implement custom ML models tailored to specific business needs. Handle large-scale datasets, including data collection, preprocessing, and augmentation. Deploy ML models in cloud environments (AWS, GCP, Azure) and edge computing platforms (Jetson Nano, Raspberry Pi, Coral TPU, etc.). Optimize ML models using techniques such as quantization, pruning, and model compression. Evaluate and improve model performance using mAP (mean Average Precision), IoU (Intersection over Union), precision-recall, and F1-score. Work closely with data scientists, software engineers, and DevOps teams to integrate models into production systems. Stay updated with the latest advancements in deep learning, computer vision, and AI model optimization. Required Skills & Qualifications Minimum 4+ years of experience in Machine Learning, Deep Learning, and Computer Vision. Strong expertise in YOLO-based object detection models (YOLOv5, YOLOv7, YOLOv8, etc.). Proficiency in Python, TensorFlow, PyTorch, and Keras. Experience with OpenCV, FastAPI, Flask for computer vision applications and API deployment. Knowledge of ONNX, TensorRT for model deployment and optimization. Familiarity with Docker, Kubernetes, MLflow, Kubeflow, and Airflow for MLOps and model lifecycle management. Experience working with cloud-based ML services (AWS SageMaker, Google Vertex AI, Azure ML). Strong understanding of CNNs, RNNs, Transformers, and other deep learning architectures. Hands-on experience in dataset annotation, synthetic data generation, and image preprocessing. Preferred Qualifications Experience in real-time AI applications, robotics, smart surveillance, or autonomous systems. Knowledge of Edge AI deployment on NVIDIA Jetson, Coral TPU, or Raspberry Pi. Experience with generative AI models, self-supervised learning, and synthetic data creation. Prior work in video analytics, smart security systems, healthcare AI, or industrial automation.

You will be responsible for developing and deploying computer vision models on edge devices such as Jetson Nano and Raspberry Pi. This includes containerizing applications using Docker for portable edge deployment. Additionally, you will integrate and optimize OpenCV pipelines for real-time video/image processing and automate setup and deployments on Ubuntu-based systems. Collaboration with the ML and hardware teams to evaluate inference performance and resource usage will be a key aspect of your role. Furthermore, you will be tasked with debugging issues across software, hardware interfaces, and OS-level configurations. Senso Vision is a technology consulting and development startup comprised of highly trained and experienced professionals in the fields of computer vision, drone automation, IoT, and machine learning.,

As an intern at Senso Vision, your day-to-day responsibilities will include developing and deploying computer vision models on edge devices such as Jetson Nano and Raspberry Pi. You will be tasked with containerizing applications using Docker for portable edge deployment and integrating as well as optimizing OpenCV pipelines for real-time video/image processing. Additionally, you will work on automating setup and deployments on Ubuntu-based systems. Collaboration with the ML and hardware teams will be a key aspect of your role as you evaluate inference performance and resource usage. You will be expected to debug issues across software, hardware interfaces, and OS-level configurations to ensure smooth operations. Senso Vision is a technology consulting and development startup with a focus on computer vision, drone automation, IoT, and machine learning. Join our team of highly trained and experienced professionals to contribute to cutting-edge projects in the field.,

We are seeking a skilled Embedded Systems & Robotics Engineer who possesses expertise in embedded software development and robotic hardware wiring. The ideal candidate will demonstrate proficiency in Arduino, ESP32, STM32, and Raspberry Pi Pico, along with experience in Linux-based embedded platforms and knowledge of motor control systems and sensor interfacing. This role is tailored for individuals who are enthusiastic about constructing and troubleshooting robotic platforms from scratch, showcasing competence in both electronics hardware and low-level software domains. Responsibilities: - Design, develop, and debug embedded firmware using C, Embedded C, Python, and Arduino C. - Engage with microcontrollers such as Arduino, ESP32, STM32, Raspberry Pi Pico, and embedded platforms like Raspberry Pi and Jetson Nano. - Execute industrial/robotic panel wiring, incorporating sensors, motors, and power electronics. - Create and validate motor control solutions for DC, stepper, and servo systems. - Establish connections with analog and digital sensors via I2C, SPI, UART communication protocols. - Implement code deployment and system management on Linux OS for RPi/Jetson-based control units. - Interpret and produce schematics and PCBs, contribute to board bring-up and hardware testing. - Optional but beneficial: Work on OpenCV-based computer vision, perception, or robotic alignment tasks. - Collaborate with mechanical and software teams throughout the robot development process. Preferred Qualifications: - Familiarity with Jetson Nano, camera modules, or robot navigation software. - Knowledge of MicroPython. - Basic understanding of OpenCV or image processing tools. - Exposure to robot design lifecycle or mechatronics integration projects. Job Types: Full-time, Fresher Schedule: Fixed shift Ability to commute/relocate: Dombivli, Maharashtra: Reliable commuting or willingness to relocate with an employer-provided relocation package (Preferred) Education: Bachelor's degree (Preferred) Work Location: In person For further inquiries, please contact the employer at +91 8169196916.,

Are you ready to experiment, learn, and implement in the field of ML, Python, Computer Vision, hardware platforms like Jetson Nano and Raspberry Pi, and cloud services Join us on a new adventure where your expertise can revolutionize the dynamics of our organization. We believe in selection, not rejection, and we are excited to welcome you to our team. OptiSol is your destination for a stress-free and balanced lifestyle. We provide a nurturing environment where your career can flourish. As a certified GREAT PLACE TO WORK for 4 consecutive years, we value open communication, accessible leadership, diversity, and work-life balance with flexible policies. At OptiSol, you can thrive both personally and professionally. We are at the forefront of AI and innovation, shaping the future together. Join us on this journey of learning and growth. What we like to see in you: - Core Competencies: Programming, AI Expertise, IoT Hardware, Protocols (RTSP, TCP, MQTT, Modbus, UART), Leadership - Bachelor's/masters in computer science, ECE, or related fields - Expertise in Python and relevant ML frameworks (TensorFlow, PyTorch, OpenCV) - Strong understanding of neural networks, transfer learning, and optimization techniques - Proficiency with Jetson Nano, Raspberry Pi, Arduino, and related platforms - Familiarity with RTSP, TCP, MQTT, Modbus, UART - Proven experience in leading technical teams and managing projects What do we expect: - Hands-on experience with model quantization, multitask learning, and zero-shot fine-tuning - Familiarity with OCR and multimodal LLMs for different data types - Experience in API development using FastAPI and Django, plus Android AI apps - Knowledge of industrial cameras, motor drivers, and Ethernet switches - Proficiency in CUDA programming and GPU optimization What You'll Bring to the Table: - Lead a team of AI engineers and promote a creative and collaborative environment - Work with stakeholders to define project goals and milestones - Deliver high-quality AI-driven solutions on time - Tweak machine learning and computer vision algorithms for tasks like object detection - Deploy AI on edge devices like Jetson Nano or Raspberry Pi - Integrate AI models with electronics and solve hardware-software challenges - Manage AI services on cloud platforms (AWS, Azure, Google Cloud) - Test, validate, and document solutions following industry best practices Core benefits you'll gain: - Lead and inspire a team of engineers in a collaborative setting - Directly shape project goals and ensure project success - Gain hands-on experience in cutting-edge AI and computer vision applications - Dive into edge devices like Jetson Nano and Raspberry Pi - Manage AI services on cloud platforms securely and efficiently - Develop a well-rounded skill set in AI and hardware Join us as an OptiSolite and discover a fulfilling career with us. Explore life at OptiSol and learn more about our culture on our Insta Page.,

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