Matlab Jobs in Noida

4 Jobs Found

AT

Embedded Design Researcher Advanced Robotics

Addverb Technologies

2-5 Years | Not Disclosed | Noida, Uttar Pradesh, India | Full-time

Job Title: Embedded Design Researcher Advanced Robotics Location: Noida Role Overview As an Embedded Design Researcher, you will play a pivotal role in developing cutting-edge embedded systems, integrating firmware and hardware, optimizing performance, and driving innovation through design, testing, and collaboration. You will work as part of the Advanced Robotics team, contributing to groundbreaking projects such as Collaborative Robots, Quadrupeds (Trakr), Remote Ultrasound Solutions, and Bi-Ped Robots all aimed at transforming the future of robotics. Key Responsibilities Design and develop embedded hardware and software solutions, including microcontroller and microprocessor-based systems. Integrate firmware and hardware, ensuring seamless system operation. Conduct research in embedded systems focusing on algorithm development, system optimization, and performance improvements. Design and simulate circuits and PCBs. Integrate hardware components such as sensors, actuators, and communication modules. Develop low-level firmware in C, C++, and Python, with a focus on real-time performance and power optimization. Collaborate with hardware engineers, software developers, and product managers. Document research findings and contribute to technical papers or presentations. Optimize embedded systems for performance, energy efficiency, and real-time responsiveness. Conduct comprehensive testing and validation of embedded systems using automated testing frameworks and debugging tools like oscilloscopes and logic analyzers. Education & Experience PhD or Master's degree in Electrical & Electronics, Electronics & Communication, Instrumentation Engineering, Embedded Systems, Power Electronics, Robotics, or related fields. 2 to 5 years of experience in embedded system design and development. Technical Skills Strong proficiency in C, C++, and Python for embedded development. Experience with RTOS (e.g., FreeRTOS, VxWorks, or Embedded Linux). Hands-on experience with hardware design tools such as Altium, KiCad, or Eagle, along with circuit simulation. Expertise in FOC control, motor drivers, and BLDC motors. Knowledge of communication protocols (I2C, SPI, UART, CAN, Bluetooth, Wi-Fi). Familiarity with embedded boards, sensors, motors, IMUs, and actuators. Experience with embedded development environments (Keil, IAR, Eclipse). Proficiency with version control systems (Git) and issue tracking tools. Knowledge of MATLAB/Simulink for embedded system modeling and simulation. Experience in prototype development and iterative design processes. Qualification : PhD or Master's degree in Electrical & Electronics, Electronics & Communication, Instrumentation Engineering, Embedded Systems, Power Electronics, Robotics, or related fields.

Embedded Design Embedded design Researcher Robotics
AT

Robot AI Researcher - Advanced Robotics

Addverb Technologies

2-5 Years | Not Disclosed | Noida, Uttar Pradesh, India | Full-time

Job Title: Robot AI Researcher Advanced Robotics Location: Noida Role Overview As a Robot AI Researcher, you will develop and deploy advanced AI algorithms for robotic systems, focusing on vision, perception, and motion planning. You will collaborate with cross-functional teams to optimize AI models and integrate them into real-world robotic applications. This role is part of the Advanced Robotics team, working on innovative projects like Collaborative Robots, Quadrupeds (Trakr), Remote Ultrasound Solutions, and Bi-Ped Robots all aimed at shaping the future of robotics. Key Responsibilities Design and implement AI algorithms for robotic systems, focusing on computer vision, perception, motion planning, and reinforcement learning. Develop and deploy machine learning and deep learning models (e.g., CNNs, RNNs, GANs) for applications like object recognition, path planning, and autonomous decision-making. Enhance RL/IL processes to improve sample efficiency, learning speed, and scalability. Apply reinforcement learning techniques to optimize robotic behaviors such as navigation, manipulation, and task execution. Train multimodal robot foundation models using large-scale datasets. Optimize AI models for real-time performance and deployment on robotic platforms. Use data augmentation and simulation techniques to improve model robustness. Leverage CUDA programming for GPU acceleration to enhance model training and deployment speed. Test AI-driven robotic prototypes in real-world scenarios and refine models based on performance analysis. Collaborate with hardware engineers, roboticists, and software developers to integrate AI into fully functional robotic systems. Education & Experience PhD or Master s degree in Robotics, Computer Science, Computer Vision, Artificial Intelligence, or related fields. 2 to 5 years of experience in AI research and development for robotic systems. Technical Skills Proficiency in Python, C++, and CUDA for AI development and optimization. Experience with AI frameworks and libraries like TensorFlow, PyTorch, OpenCV, and scikit-learn. Strong knowledge of reinforcement learning, deep learning, and general machine learning techniques. Familiarity with Foundation Models, Physical AI, and Visual Language Action (VLA) Models is preferred. Knowledge of robotic sensors (LiDAR, cameras, IMUs) and Robot Operating System (ROS). Hands-on experience developing real-time AI algorithms for robotic platforms. Ability to handle large datasets, perform thorough model evaluation, and optimize for computational efficiency and real-time processing. Qualification : PhD or Masters degree in Robotics, Computer Science, Computer Vision, Artificial Intelligence, or related fields.

Robot Ai Researcher Robotics Advanced Robotics
AT

Computer Vision Researcher Advanced Robotics

Addverb Technologies

5-8 Years | Not Disclosed | Noida, Uttar Pradesh, India | Full-time

Job Title: Computer Vision Researcher Location: Noida Headquarters Overview: We are looking for a talented and driven Computer Vision Researcher to join our Advanced Robotics team. As a key member, you will contribute to the design, optimization, and integration of cutting-edge computer vision technologies that power our innovative robotic systems. Your expertise will drive the development of humanoid robots capable of navigating and interacting with complex, dynamic environments. This role will involve working on various advanced robotics products, including the Collaborative Robot, Quadruped (Trakr), Remote Ultrasound Solution, and Bi-Ped Robot. Key Responsibilities: Conduct Advanced Research: Lead research in computer vision areas such as image segmentation, object detection, motion tracking, sensor fusion, and more to create efficient algorithms enabling robots to perceive, navigate, and interact in real time with their environments. Deep Learning Model Development: Design, train, and fine-tune deep learning models (e.g., CNNs, RNNs, GANs) for various computer vision tasks. Work with large datasets to optimize performance and accuracy. Data Pipeline Management: Develop and implement efficient data processing pipelines for large-scale datasets. Utilize data augmentation techniques to enhance model robustness. Prototype Development: Build prototypes and proof-of-concept systems to demonstrate the integration of computer vision algorithms into practical robotic applications. Real-time Optimization: Evaluate and optimize the performance of computer vision models, particularly for real-time applications, ensuring both high accuracy and computational efficiency, especially for embedded or mobile devices. Third-Party Integration: Facilitate the integration of third-party computer vision libraries and frameworks into the robotic control stack, ensuring seamless compatibility with existing systems. Collaboration Across Teams: Work closely with product teams, hardware engineers, and software developers to integrate computer vision technologies into robotics hardware for enhanced robot movement and features. Mentorship and Guidance: Mentor junior researchers and engineers in computer vision techniques. Provide guidance on experimental design, data analysis, and algorithm development. Qualifications & Skills: Education: Ph.D. or Master s degree in Computer Science, Computer Vision, AI, Robotics, or a related field. Experience: 5-8 years of experience in computer vision research and development, including working with deep learning frameworks and large-scale datasets. Expertise in Computer Vision: Strong knowledge of image processing, feature extraction, object detection, segmentation, tracking, and other related areas. Deep Learning Frameworks: Proficiency with frameworks like TensorFlow, PyTorch, Keras, or Caffe. SLAM and VIO Knowledge: Experience with Visual SLAM, LiDAR SLAM, and Visual Inertial Odometry (VIO) is a plus. Advanced Networks: Hands-on experience with CNNs, RNNs, GANs, and other advanced deep learning architectures. Traditional Computer Vision: Familiarity with traditional computer vision techniques such as SIFT, SURF, HOG, and Optical Flow. Programming Skills: Strong skills in C++, Python, or other relevant programming languages. Data Handling: Experience with large image datasets (e.g., COCO, ImageNet), data augmentation, and processing techniques. Computer Vision Libraries: Experience with libraries like OpenCV or scikit-image. GPU Programming: Familiarity with CUDA for training deep learning models on GPUs. Machine Learning Fundamentals: Strong background in machine learning algorithms, statistical methods, and performance analysis techniques. Research & Innovation: Ability to stay current with the latest research trends in computer vision and apply cutting-edge methods to real-world challenges. Be a part of a dynamic, forward-thinking team pushing the boundaries of robotics. Work on innovative products with the potential to redefine the robotics landscape. Collaborate with experts across multiple disciplines in a supportive, growth-focused environment. If you're passionate about advancing the future of robotics and have a deep understanding of computer vision, we encourage you to apply and make a tangible impact on the next generation of intelligent robotic systems. Qualification : PhD or master's degree in computer science, Computer Vision, AI, Robotics, or a related field

Computer Vision Computer Vision Researcher Robotics
KI

Ai/ml Engineer

Ksolves India Limited

2+ Years | Not Disclosed | Noida, Uttar Pradesh, India | Full-time

AI/ML Engineer Noida 2+ Years Experience Full-Time Location: Noida Experience Level: Minimum 2 years Employment Type: Full-Time Open Positions: 2 Job Overview: We are seeking a highly skilled and motivated AI/ML Engineer to join our dynamic technology team in Noida or Indore. If you have a passion for artificial intelligence, deep learning, and machine learning systems, and are excited to work on cutting-edge projects, we want to hear from you. Key Responsibilities: Develop and implement end-to-end machine learning solutions, including proof of concepts (POCs). Design, build, train, and optimize machine learning models for various business use cases. Research and evaluate the latest ML algorithms, frameworks, and tools. Work closely with software engineering teams to deploy AI models in production environments. Required Qualifications and Skills: Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. At least 2 years of hands-on experience in machine learning or data science roles. Strong programming skills in Python, with experience in libraries like TensorFlow, PyTorch, or similar ML frameworks. Proficiency with cloud-based AI platforms (such as AWS SageMaker, Google AI, or Azure ML). Familiarity with Docker, Kubernetes, and modern deployment pipelines. Opportunity to work on impactful, large-scale AI/ML projects. Flexible work locations Noida or Indore. Collaborative work culture with growth and learning opportunities. Apply now and shape the future with intelligent technology. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Ai Ai ml Engineer Ai engineer Ml engineer

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