Sensors Jobs in Noida

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.

Instrumentation Lead / Engineer Location: Noida Experience: 5 20 Years Industry: Chemical Process | Oil & Gas | Refinery | Petrochemical | Fertilizer Employment Type: Full-Time Role Overview: We are seeking a highly skilled Instrumentation Lead / Engineer with 5 to 20 years of experience in executing multi-disciplinary engineering projects. The role involves working across Concept, FEED, and Detailed Engineering phases for field instrumentation, control systems, and monitoring solutions including DCS, ESD, and F&G systems primarily in chemical, oil & gas, and petrochemical environments. Key Responsibilities: Instrumentation & Control System Design Lead the development and engineering of field instrumentation, DCS (Distributed Control Systems), ESD (Emergency Shutdown Systems), and F&G (Fire & Gas Systems). Deliver Concept, FEED, and Detail Engineering packages for instrumentation and control systems across process industry projects. Project Coordination & Stakeholder Interaction Participate in interface meetings with clients, vendors, and internal stakeholders to align on technical requirements and project progress. Collaborate with other disciplines to ensure integrated and seamless design delivery. Vendor & Procurement Support Review vendor documents and control system proposals for technical accuracy and compliance with specifications. Prepare vendor technical clarifications, technical bid evaluations (TBE), and recommendations for procurement. Required Skills & Qualifications: Bachelor s degree in Instrumentation Engineering, Electronics, or a related discipline 5 20 years of relevant experience in the instrumentation and control systems domain Strong working knowledge of control philosophies, instrument sizing, loop diagrams, I/O lists, and hook-up drawings Hands-on experience in engineering for DCS, ESD, F&G, and SCADA systems Familiarity with international codes and standards (ISA, IEC, API, etc.) Excellent communication, coordination, and documentation skills Preferred Industry Background: EPC / PMC firms or operating companies in: Oil & Gas Refinery Petrochemical Fertilizer Chemical Processing If you re passionate about control and instrumentation engineering and thrive in technically complex environments, we encourage you to join our growing team. Qualification : Bachelors degree in Instrumentation Engineering, Electronics, or a related discipline

Position Title: Lead Control Engineer R&D Controls Location: Noida Department: R&D Controls Employment Type: Full-Time Role Overview We are looking for a highly skilled and innovative Lead Control Engineer to join our R&D Controls team at our Noida corporate office. In this role, you will be instrumental in developing cutting-edge automation solutions for material handling systems in warehouse environments. You ll have the opportunity to work at the forefront of robotics technology, contribute to new product development, and lead enhancements of existing systems. As part of India's largest robotics company, this role offers a dynamic and collaborative work environment, global exposure, and the freedom to innovate with responsibility. Key Responsibilities Collaborate with cross-functional teams, vendors, and customers to gather and analyze solution requirements. Conceptualize, design, and document control system solutions using the latest technologies. Finalize solutions in consultation with stakeholders and support the vendor selection process in coordination with the SCM team. Organize and conduct Proof-of-Concept (PoC) testing with shortlisted vendors. Develop and release detailed engineering Bill of Materials (BOM) as per internal processes. Actively participate in product prototyping, in-house testing, and validation. Provide on-site technical support to the project team when required. Address and resolve issues reported by the After-Sales team. Maintain comprehensive documentation for all products and projects in line with company standards. Key Skills & Qualifications Bachelor s degree in Mechatronics, Electrical Engineering, Instrumentation, or related field. Strong academic background with 60% or above throughout academics. 3 to 10 years of experience in the Material Handling or Warehouse Automation industry. Proficient in motor selection, load calculations, sensors, wiring basics, and motor controller programming. Hands-on experience with PLC programming, HMI/SCADA systems, and OPC servers. Familiarity with industrial communication protocols such as Profinet, Profibus, DeviceNet, etc. Experience in device sizing, commissioning, and basic knowledge of industrial standards and certifications. Be part of a multidisciplinary and globally exposed team at the forefront of robotics innovation. Work in a culture that values freedom with responsibility. Opportunity to shape next-gen automated warehouse systems. Endless learning opportunities in a fast-paced, R&D-focused environment. Qualification : Bachelors degree in Mechatronics, Electrical Engineering, Instrumentation or related field

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.

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