6 Imu Jobs

As a member of our team, you will be responsible for supporting the development and tuning of flight control algorithms, such as PID, to ensure flight stability and autonomous navigation. You will play a crucial role in integrating onboard sensors like IMU, GPS, and barometer with flight control systems, as well as assisting in data calibration and testing. Your tasks will also include writing and maintaining embedded code for microcontrollers and real-time drone applications. Additionally, you will participate in hardware-in-the-loop (HIL) and software simulation testing to validate system behavior. During live drone testing, you will conduct pre-flight checks, monitor telemetry, and support data logging. Troubleshooting firmware and communication issues between flight controllers and onboard systems will be another key aspect of your role. It is essential to maintain clear documentation of code, test cases, and results, and collaborate using version control tools such as Git. Keeping yourself updated on open-source drone platforms like PX4 and ArduPilot is crucial, as you will actively contribute to prototype development and iteration. This is a full-time position with a flexible schedule that includes paid sick time and paid time off. The work schedule is during the day shift, fixed from Monday to Friday, and the work location is in person. If you are passionate about drone technology and eager to be part of a dynamic team working on cutting-edge projects, we encourage you to apply for this exciting opportunity.,

You will be responsible for developing and training machine learning models that leverage drone, satellite, and real-time video data to tackle complex visual understanding tasks. Your primary focus will be on building ML/DL models for image and video classification, segmentation, and spatiotemporal analysis. Additionally, you will be tasked with developing fusion methods that align and merge data from satellite, drone, and ground footage sources. To excel in this role, you must have a minimum of 10-12 years of relevant experience. You should possess strong Python coding skills along with expertise in data manipulation using libraries such as NumPy, Pandas, and SciPy. Proficiency in vision/model libraries such as MMDetection, Detectron2, and OpenCV is essential. Moreover, you must have hands-on experience in deep learning frameworks like PyTorch and TensorFlow, particularly in developing video models with TimeSformer, SlowFast, I3D, Yolo, among others. Your expertise should extend to satellite/drone geospatial fusion, GPS/IMU metadata, and scene alignment. Familiarity with time series analysis, motion tracking, and optical flow techniques (e.g., RAFT, FlowNet) is beneficial. In addition, knowledge of remote sensing libraries like Rasterio, GDAL, GeoPandas, and xarray will be advantageous for this role. Your responsibilities will also include model evaluation and optimization across various data sources, ensuring the delivery of high-quality solutions that contribute to the future of intelligence gathering.,

We are looking for a highly skilled AI and 3D Computer Vision Developer to join our innovative team. Your main focus will be on developing advanced algorithms for spatial perception, 3D computer vision, and sensor data analytics. As part of this role, you will be responsible for designing and implementing cutting-edge AI solutions for object detection, tracking, and scene understanding. Additionally, you will work on sensor data analytics for various applications. Your expertise in machine learning, deep learning, and computer vision will be crucial in creating real-time applications. Strong proficiency in spatial analytics, sensor fusion, and data-driven problem-solving is essential for success in this role. If you are passionate about pushing the boundaries of AI and 3D perception, we are excited to hear from you! To be considered for this position, you should have a minimum of 4+ years of overall work experience. Ideal candidates will have experience in areas such as spatial or scene understanding, data analytics, and advanced AI technologies. This includes expertise in detection, tracking, segmentation, recognition, handling large volumes of sensor data, and hands-on experience with Large Language Models, Generative AI, and other cutting-edge artificial intelligence technologies.,

Job Title: Junior Algorithm Engineer Wearables R&D Experience: 02 Years Location: Hyderabad Job Description: We are seeking a passionate and detail-oriented Junior Algorithm Engineer to join our Wearables R&D team . This is an exciting opportunity to work at the intersection of embedded systems, health analytics , and machine learning . The role is ideal for fresh graduates or early-career professionals looking to contribute to the next generation of smart wearable devices . Key Responsibilities: Assist in the development of algorithms for activity detection , health metrics , and fitness tracking using IMU, PPG, and other wearable sensors. Support sensor fusion for motion tracking using accelerometer , gyroscope , and magnetometer data. Contribute to the implementation of machine learning models optimized for edge computing . Participate in building low-power algorithms for activities like walking, running, cycling, yoga, HIIT , and sleep stage detection . Work on logic for calculating calories burned , stress levels , VO Max , EPOC , training load , respiration rate , and irregular heart rate detection . Assist in validation, testing, and optimization of algorithms for performance, power efficiency, and accuracy. Collaborate with firmware, hardware, and QA teams for seamless integration and product delivery. Required Skills: Strong foundation in signal processing , sensor data analysis , or machine learning . Familiarity with Python , C/C++ , and tools like MATLAB , NumPy , or TensorFlow Lite is a plus. Good understanding of physiological data and wearable health metrics is preferred. Strong problem-solving skills and a collaborative attitude.

ROLES & RESPONSIBILITIES Design and implement advanced SLAM and sensor fusion algorithms in C++ using ROS1 / ROS2. Integrate and calibrate sensors like LiDAR, IMU, GPS, and Cameras, to build robust state estimation pipelines. Integrate and develop custom drivers, ROS nodes, and message filters for real-time robotic systems. Use GTSAM, Ceres Solver, or similar tools for graph optimization and sensor fusion. Build scalable and reusable ROS1 / ROS2 packages for perception, localization, and mapping. Test algorithms both in simulation (Gazebo, RViz) and on physical robotic platforms. Collaborate closely with hardware and embedded teams for system-level integration. Maintain high coding standards with unit tests, ROS test coverage, and CI integration. Document code, algorithms, and interfaces to support collaborative development. REQUIRED SKILLS- Strong proficiency in Modern C++ (C++14/17/20) with deep understanding of memory management, STL, multithreading, and templates. Hands-on experience with SLAM (e.g., LIO-SAM, ORB-SLAM) and sensor fusion techniques. Proficiency in ROS (ROS 1 or ROS 2) development and ecosystem. Strong understanding of robot kinematics, SE(3) transformations, rotation/translation matrices, and pose graphs. Experience with Ceres Solver, GTSAM, or other optimization frameworks for non-linear least squares problems. Familiarity with tools like Rviz, Gazebo, tf2, and rosbag. Experience with Git, CMake, and writing well-documented, modular code. Solid mathematical foundation in linear algebra, probability, and optimization. Deep understanding of robotic system design and control architectures. NOTE - 1. If Interested , Kindly Send The UPDATED CV to Mr. Sushil Kr Singh (HR Head) at hr.talent@arc.ventures 2. The job Location is Koramangla (Bangalore)

Job Requirements We are seeking a highly skilled and experienced Product HW Validation Engineer to join our team. As a key member of the hardware engineering team, you will be responsible for validating the performance of various sensors used in our smart wearable products, including display touch, proximity sensor, ambient light sensor, and inertial measurement units (IMUs). Your expertise will ensure that our products meet the highest standards of quality, reliability, and customer satisfaction. Work Experience Responsibilities Design and execute comprehensive validation plans for sensors used in smart wearables, including: Display touch sensors Proximity sensors Ambient light sensors Inertial Measurement Units (IMUs) Collaborate with cross-functional teams, including hardware design, software development, and manufacturing, to identify and resolve technical issues Develop and maintain test fixtures, equipment, and procedures to support sensor validation Analyze data from various sources, including lab tests, field trials, and customer feedback, to identify trends and areas for improvement Create detailed reports and presentations to communicate findings and recommendations to stakeholders Work closely with suppliers to evaluate and qualify new sensor technologies Participate in the development of product specifications, design requirements, and testing protocols Stay up-to-date with industry trends and emerging technologies in sensor development and validation Requirements Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or related field 5+ years of experience in hardware validation, preferably in the consumer electronics industry Strong knowledge of sensor technologies, including display touch, proximity, ambient light, and IMUs Experience with validation methodologies, including design of experiments, statistical analysis, and data visualization Working knowledge of Python, and LabVIEW for data processing and automation. Experience executing electrical validation on the bench. Familiarity with lab equipment such as oscilloscopes, DMM, e-load, power supply, power analyzer, spectrum analyzer, signal generator, and temp chamber. Excellent problem-solving skills, with the ability to analyze complex technical issues and develop creative solutions Understanding of board schematics and board layout. Ability to find proper probe locations and identify potential points of failure in the DUT. Effective communication and collaboration skills, with the ability to work with cross-functional teams and external partners Ability to travel occasionally for business purposes Nice to Have Experience with wearable devices and smart home products Knowledge of wireless communication protocols, including Bluetooth, Wi-Fi, and NFC Knowledge in I2C/SMBus, UART, SPI, USB, Network stack is a plus Familiarity with cloud-based platforms and data analytics tools Certification in six sigma or lean manufacturing methodologies Experience with scripting languages, such as Perl or Ruby What We Offer Competitive salary and benefits package Opportunity to work on cutting-edge technology products Collaborative and dynamic work environment Professional development opportunities, including training and education programs Flexible work arrangements. If you are passionate about sensor technology and have a strong background in hardware validation, we encourage you to apply for this exciting opportunity.