21 Sensor Fusion Jobs

Company Overview Volitionsphere UT Services LLP, based in Ghaziabad, Uttar Pradesh, is an innovative technology and staffing solutions firm founded in 2024. We cater to varied business needs with a focus on IT services, recruitment, and business process support, aiming for scalable and client-centric results. As a growing enterprise with 11-50 employees, we are committed to delivering efficient, people-driven solutions across India. Job Overview We are seeking an experienced Bluetooth Helmet Engineer to join our team in New Delhi. This is a full-time, mid-level position requiring 4 to 6 years of relevant work experience. The ideal candidate will have a strong background in Bluetooth protocols and sensor fusion, with other related technical skills to advance our product development. Join us to innovate and enhance our tech solutions through advanced engineering methodologies. Qualifications and Skills Expert understanding and practical experience with Bluetooth Protocols (Mandatory skill) to develop effective communication systems. Proven knowledge in sensor fusion (Mandatory skill) to integrate multiple data sources for enhancing helmet technologies. Proficient in app integration to ensure seamless connectivity between devices and user applications. Strong skills in battery optimization for maximizing device life and performance efficiency. Experience in firmware testing to assure quality and functionality of software integrations within devices. Familiarity with Bluetooth Low Energy to ensure low-power wireless communication in various environments. Competence in firmware development to create robust software solutions tailored to hardware requirements. Proficiency in C/C++ for the development and implementation of efficient technical algorithms and applications. Roles and Responsibilities Design, develop, and implement Bluetooth-based systems for our range of helmet technologies. Collaborate with cross-functional teams to integrate new technologies and features. Conduct thorough firmware testing and debugging to ensure high-quality product performance. Optimize battery usage within designed systems for extended operation lifespan. Interface with application developers to ensure seamless app integration with hardware solutions. Innovate and prototype advanced features that enhance user experiences with our helmet technologies. Implement Bluetooth Low Energy solutions for efficient and effective device communication. Provide technical expertise and leadership throughout the software development lifecycle.

As an Autonomous Sensor Fusion Engineer at Cell Propulsion, you will be an integral part of our cutting-edge autonomy team that is focused on developing advanced electric mobility solutions for commercial vehicles. Your primary responsibility will involve developing and optimizing sensor fusion algorithms that integrate data from various sensors such as LiDARs, cameras, and radars. By combining these data sources effectively, you will contribute to enhancing the accuracy of perception and localization for autonomous vehicles, thereby playing a crucial role in building smart, reliable, and safe self-driving systems tailored for real-world commercial deployment. Your key responsibilities will include selecting sensors based on specific requirements, optimizing sensor performance and calibration to ensure reliability and precision, designing algorithms for sensor fusion and data integration, developing systems for object detection, tracking, and classification using sensor data, collaborating with software and hardware teams to integrate sensor systems with the pods autonomous driving algorithms, as well as performing testing and validation to ensure that sensor fusion algorithms meet safety standards. To be successful in this role, you should hold a Bachelors or Masters degree in Electrical Engineering, Robotics, Computer Science, or a related field, along with a minimum of 2+ years of relevant experience. Your expertise should encompass strong knowledge of sensor fusion techniques such as Kalman filtering and particle filtering, as well as hands-on experience with LIDAR, Radar, Camera, GPS, IMU, and other sensor technologies. Additionally, familiarity with ROS, OpenCV, or other robotics frameworks, experience in real-time systems, and embedded software development will be advantageous. Joining Cell Propulsion will not only offer you the opportunity to work in a high-growth environment but also provide benefits such as comprehensive health insurance, flexible work hours, subsidized lunch and transport, a young and energetic team, and an open-door policy. If you are passionate about autonomous systems, sensor technologies, and building real-world applications that have a tangible impact, we would love to hear from you.,

As a Computer Vision Engineer at our company based in Chennai, India, you will play a crucial role in designing and prototyping machine learning architectures to enhance our solution. Your primary responsibility will involve collaborating with the founder to brainstorm and select the best approaches for computer vision, sensor fusion, and reinforcement learning applications in the field of cricket and badminton. In this new and exciting domain, we are particularly interested in candidates with experience in related areas such as robotics, autonomous systems, sports analytics, surveillance, or IoT. We value individuals who can bring innovative problem-solving skills and adaptability to tackle our unique challenges effectively. Your key responsibilities will include proposing and evaluating AI/ML architectures for real-time officiating tasks, developing computer vision algorithms to detect critical objects, designing reinforcement learning models for dynamic camera control, integrating data from video feeds with auxiliary sensors, and rapidly prototyping AI/ML modules using real or simulated data. Additionally, you will be expected to document architecture decisions, stay updated on recent research in the field, and collaborate closely with the product management and development teams. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related discipline focusing on machine learning, computer vision, robotics, or data science. You should also possess proficiency in Python, familiarity with C++, experience with deep learning frameworks such as TensorFlow or PyTorch, hands-on experience with computer vision libraries like OpenCV, and knowledge of reinforcement learning concepts and frameworks. While direct experience in sports officiating is not mandatory, relevant experience in fields like sports analytics, robotics, surveillance, or IoT would be beneficial. Soft skills such as problem-solving abilities, effective communication, adaptability, and a collaborative spirit are also highly valued in this role. Joining our team will offer you the opportunity to work in an innovative domain merging AI with sports officiating and analytics, collaborate directly with the founder and a lean, agile team, contribute to product direction, gain experience in building a product from concept to market, and receive competitive compensation with potential equity participation in our rapidly evolving startup.,

As a Robotics Engineer at Eternal, you will be part of a cutting-edge team focused on revolutionizing horticulture automation. Whether you are a recent graduate eager to begin your career or an experienced engineer seeking a new challenge, you will have the opportunity to work on advanced autonomous systems that are reshaping the future of sustainable food production. Your role will involve designing and implementing robust robotics software using ROS2 and modern C++ for autonomous navigation, manipulation, and perception in dynamic greenhouse environments. You will develop and validate algorithms in NVIDIA Isaac Sim before deploying them to a fleet of robots, significantly reducing development cycles. Your work will also include creating intelligent systems that enable robots to make real-time decisions about crop work, integrating computer vision models with robotic control systems, and implementing over-the-air update systems for remote deployment of new capabilities. Collaboration is key at Eternal, and as a Robotics Engineer, you will work closely with a distributed team across the Cologne headquarters and Bengaluru office. You will have the opportunity to collaborate with AI/ML engineers, mechanical engineers, and crop scientists to deliver end-to-end solutions that push the boundaries of what is possible in agricultural robotics. Qualifications: - Bachelor's degree in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related field (or graduating by Summer 2025) - Proficiency in C++ programming or demonstrated ability to upskill quickly - Exposure to ROS/ROS2 through real-world implementations, projects, internships, or coursework - Understanding of core robotics concepts: kinematics, dynamics, control theory, and path planning - Familiarity with Linux environments - Passion for solving complex real-world problems with tangible impact Experience Levels: 1. New Graduate / Entry Level (0-2 years) 2. Early Career (2-5 years) 3. Senior Level (5-8 years) 4. Staff/Principal Level (8+ years) Preferred Qualifications: - Experience with NVIDIA Isaac Sim or Omniverse for robotics simulation - GPU programming skills (CUDA) for accelerating perception algorithms - Knowledge of modern AI/ML frameworks and their application to robotics - Experience with modular hardware design and systems integration - Participation in robotics competitions or research publications - Open source contributions to robotics projects At Eternal, you will have the opportunity to launch your career, contribute to solving global food security challenges, work with cutting-edge technology, experience rapid innovation, and be part of a team that values mentorship, learning, and diversity. If you are ready to revolutionize how the world grows food and be a part of building autonomous systems with a significant impact, we encourage you to apply and join our mission at Eternal.,

As a Senior Robotics Engineer at Mowito, you will be responsible for designing, developing, and deploying advanced robotic control systems for industrial robotic arms. Leading projects from concept to deployment, you will integrate AI-driven perception, planning, and control to address complex automation challenges. Collaboration with the AI, hardware, and deployment teams is essential to deliver cutting-edge automation solutions to real-world factories. Your key responsibilities will include leading the design, development, and deployment of advanced robotic perception, planning, and control systems for high-DOF industrial arms. You will take ownership of projects from requirements gathering to deployment and ongoing optimization. Additionally, you will invent and implement novel algorithms to enhance robot intelligence, perception, and autonomy. Integrating AI and machine learning models into real-time robotic control pipelines and optimizing system performance for low latency, robustness, and industrial reliability will be crucial aspects of your role. To be successful in this role, you should hold a Bachelor's or Master's degree in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related field, along with a minimum of 5 years of experience in robotics software development. Proficiency in C++ and Python, a solid foundation in robotics fundamentals, experience with ROS/ROS2, and hands-on deployment of robotic systems in industrial environments are required qualifications. Strong problem-solving skills, the ability to debug complex software-hardware interactions, and a comfort with a fast-paced startup environment are also necessary. Preferred qualifications include a Master's or PhD in Robotics, AI, or a related field, experience with industrial arms, integrating deep learning models for perception or control, knowledge of CNN models, imitation learning, or reinforcement learning, and familiarity with safety-critical robotics and ISO standards. Experience leading cross-functional engineering projects and a strong track record of publications, patents, or successful deployed robotic products are advantageous. Joining Mowito will offer you the opportunity to lead projects with full technical ownership, develop innovative algorithms and systems, impact global manufacturing automation, work with Fortune 500 clients, and enjoy a competitive salary and equity options in a flexible, innovation-driven culture. If you are passionate about pushing the boundaries of robotics and AI and wish to contribute to real-world automation in global factories, we look forward to hearing from you.,

As a Lead Project Manager at ARAPL RaaS Pvt. Ltd., you will be at the forefront of innovative autonomous solutions, focusing on the development of cutting-edge autonomous mobile robots (AMRs). Your role will involve assembling a technical team, managing project progress, controlling the budget, and establishing key supplier relationships to spearhead the development of our autonomous forklift AMR. The ideal candidate for this role will lead the design and development of SLAM-based navigation systems for robotic platforms, utilizing SLAM algorithms and techniques to enable accurate localization and mapping in various environments. Additionally, you will be responsible for developing, optimizing, and implementing SLAM algorithms and systems for real-time applications, staying up to date with the latest advancements in SLAM and related fields, and designing and executing experiments to evaluate the performance and robustness of SLAM solutions. Collaboration with cross-functional teams, including software engineers, computer vision experts, and robotics engineers, will be essential to integrate SLAM solutions into various projects. Providing technical guidance and support to team members, identifying challenges in SLAM implementation, proposing innovative solutions, and contributing to the development of tools and frameworks to streamline the SLAM development process are key responsibilities of this role. Documenting and communicating research findings, algorithms, and technical specifications effectively will also be part of your duties. To excel in this position, you should hold a Bachelors / Master's or Ph.D. degree in Computer Science, Robotics, or a related field, with 3-7 years of demonstrated experience in SLAM research and development. Expertise in various SLAM techniques, proficiency in programming languages commonly used in SLAM (such as C++ and Python), solid understanding of computer vision, sensor fusion, probabilistic robotics, and optimization algorithms, as well as experience with popular SLAM libraries and frameworks are essential. Strong mathematical and analytical skills, excellent communication and teamwork abilities, and prior experience working with autonomous systems and robotics will be beneficial. Working at ARAPL RaaS Pvt. Ltd. comes with competitive salary packages, performance-based bonuses, comprehensive health and wellness benefits, opportunities for professional development and continued education, and a collaborative and innovative work environment.,

GlobalLogic is looking for a detail-oriented and technically skilled Senior Analyst - HD Mapping to oversee the analysis, validation, and integration of high-definition (HD) maps utilized in advanced navigation systems and autonomous vehicle technologies. As the Senior Analyst, you will need to have a solid background in geospatial data analysis, map content creation, and proficiency with GIS tools, LiDAR data, and HD map specifications. Requirements: - Bachelor's or Master's degree in Geomatics, GIS, Remote Sensing, Computer Science, Civil Engineering, or a related field. - 3-5 years of experience in HD mapping, GIS analysis, or autonomous vehicle-related mapping projects. - Proficiency with spatial analysis tools like ArcGIS, QGIS, FME, or PostGIS. - Hands-on experience with HD map formats such as OpenDrive, NDS, Lanelet2, HERE HD Live Map, etc. - Familiarity with LiDAR data processing and point cloud classification. - Strong understanding of road network modeling, lane-level features, and map attribute standards. - Ability to interpret and apply localization and sensor data to validate map accuracy. - Strong problem-solving skills, attention to detail, and ability to work independently or as part of a team. Preferred Skills: - Experience with ADAS/autonomous vehicle platforms such as Apollo, Autoware, NVIDIA DRIVE. - Knowledge of SLAM, sensor fusion, and localization techniques. - Exposure to cloud mapping platforms like AWS, Azure Maps, or Google Maps APIs. - Previous experience with change detection, temporal updates, or AI-assisted annotation tools. Responsibilities: - Analyze and process spatial data to generate and maintain HD maps for ADAS and autonomous driving. - Validate map features such as road geometries, lane markings, traffic signs/signals, and barriers using various data sources. - Collaborate with cross-functional teams to define mapping requirements. - Perform QA/QC of HD map datasets for completeness, accuracy, and consistency. - Extract features and annotations from point cloud and imagery data. - Implement change detection algorithms to ensure map freshness. - Work with map production pipelines and versioning systems to track updates. - Review and enhance mapping specifications, annotation standards, and internal documentation. At GlobalLogic, we offer a culture of caring, learning and development opportunities, interesting and meaningful work, balance and flexibility, and a high-trust environment. As a trusted digital engineering partner, GlobalLogic collaborates with clients to transform businesses and redefine industries through intelligent products, platforms, and services. Join us to be a part of the digital revolution and work on cutting-edge solutions shaping the world today.,

We are a brand new Automotive Technology Start-up dedicated to developing driver safety systems tailored for Indian conditions. Our focus is on equipping riders and drivers with advanced rider assistance systems and affordable obstacle-avoidance automotive systems. Leveraging cutting-edge technologies such as Computer Vision, AI/ML, Big Data, Sensor Fusion, Embedded Systems, and IOT, we aim to create smart assistance systems that enhance safety on the road. Our current suite of products includes innovative solutions like the Front Collision Warning System (FCWS), Sleep Driver Alert System, Driver Monitoring System, and Driver Evaluation and Authentication. These products are designed to address critical safety issues and improve the overall driving experience. The Start-up is strongly supported by a $500Mn Group, a prominent automotive systems manufacturer serving global OEMs. With 29 manufacturing facilities spread across 7 states in India and a workforce exceeding 15,000 employees, the Group brings valuable expertise and resources to our venture. We are looking for a skilled AI/ML Engineer to join our early-stage start-up and contribute to the development of our rider safety product. As an AI/ML Engineer, you will be responsible for designing, developing, and integrating computer vision algorithms that play a crucial role in capturing and analyzing the surroundings to provide effective alerts for riders. In this role, you will: - Develop state-of-the-art CNN based computer vision object detectors and classifiers for real-time detection of road objects - Design and implement data ingestion, annotation, and model training pipelines to handle large volumes of video data and images - Create model visualizations, conduct hyperparameter tuning, and leverage data-driven insights to enhance model performance - Optimize models for efficient inference times and deploy them on low-power embedded IoT ARM CPUs - Establish CI/CD tests to evaluate multiple models on the test set effectively The ideal candidate should possess: - A BS or MS degree in Computer Science or Engineering from reputable educational institutions - Experience in building deep-learning object detectors for Computer Vision Applications - Proficiency in popular CNN architectures such as AlexNet, Google Lenet, MobileNet, Darknet, YOLO, SSD, and Resnet - Hands-on experience with libraries and frameworks like Caffe, Tensorflow, Keras, PyTorch, OpenCV, ARM Compute Library, and OpenCL - Knowledge of Transfer Learning and training models with limited data - Strong programming skills in Modern C++14 or above, Python, along with solid understanding of data structures and algorithms - Familiarity with working on small embedded computers, hardware peripherals, Docker Containers, and Linux-flavored operating systems To excel in this role, you can stand out by having: - Prior experience in product development within an early-stage start-up environment - Expertise in deploying scalable ML models for Android/IOS platforms - Noteworthy contributions to Open Source projects or achievements in coding Hackathons - Passion for Raspberry Pi and ARM CPUs - Keen interest in the field of Autonomous Driving Join us in our mission to revolutionize driver safety through innovative technology solutions tailored for Indian roads.,

You will be the Robotics Fleet Management Engineer responsible for designing, developing, and deploying robotic fleets integrated with OpenRMS and OpenTCS platforms. Your expertise in Fleet Management Systems and Autonomous Navigation will be crucial for this role. You will utilize real-time navigation systems such as ROS2 and NAV2 to achieve the objectives efficiently. Your key responsibilities will include developing and integrating fleet management systems using OpenRMS and OpenTCS, implementing autonomous navigation with ROS2, Nav2, and Gazebo, designing and optimizing path planning algorithms, building web-based dashboards and APIs for fleet control and telemetry, interfacing with IoT devices and telematics systems using MQTT, REST APIs, and WebSockets, as well as deploying and managing robotic systems using Docker, Kubernetes, and CI/CD pipelines. Your technical skills should encompass expertise in Fleet Management Platforms such as OpenRMS (including .NET Core, Visual Studio, modular architecture, web API development, etc.) and OpenTCS (including integration with ROS2-based robots, task scheduling, Java backend development, etc.). Proficiency in Robotics & Simulation tools like ROS2, Nav2, Gazebo, RViz, SLAM, sensor fusion, multi-robot coordination, C++, and Python programming for robotic systems is essential. Additionally, experience in Web & IoT Integration with RESTful API design, WebSockets, MQTT, frontend development, and backend scripting is required. Ideally, you should hold a Bachelors or Masters degree in Robotics, Computer Science, Mechatronics, or a related field. Experience with OpenRemote platform, Docker-based deployments, contributions to open-source robotics projects, familiarity with cloud robotics platforms, and knowledge of rigid body dynamics and Multi-DOF system modeling will be advantageous.,

As a Senior System Embedded Engineer at Omnipresent Robot Tech Pvt. Ltd., you will be a key player in our satellite-based Dfense project, focusing on solution integration, system design, and cross-functional management. You will have the opportunity to work in a startup culture that values creativity and innovation. Your responsibilities will include architecting onboard AI-based change detection systems, researching space-grade SoCs, FPGAs, and computing platforms, seamlessly integrating SoCs, sensors, AI algorithms, and embedded systems, implementing sensor fusion for enhanced data accuracy, optimizing AI models for real-time execution, analyzing power, thermal, and computational constraints, testing AI workloads on multiple platforms for efficiency, coordinating with developers, engineers, and AI specialists, ensuring compliance with space-grade standards, and managing timelines and cross-functional collaboration. To qualify for this role, you should have a Bachelors's degree in Computer Science/Engineering (Masters a plus), along with 5+ years of experience in AI-driven embedded systems and automation. Expertise in system architecture, space-grade SoCs, and real-time data processing is required. Proficiency in Python, C++, and embedded programming is essential, as well as knowledge of radiation-hardened electronics and aerospace standards. Strong analytical, problem-solving, and collaboration skills are also expected.,

As an AI/ML Engineer at our company, your primary responsibility will involve designing and prototyping core machine learning architectures to drive our solution. You will work closely with the founder to brainstorm and select the best approaches for computer vision, sensor fusion, and reinforcement learning applications specifically tailored for cricket and badminton. We are particularly interested in candidates with experience in related areas such as robotics, autonomous systems, sports analytics, surveillance, or IoT due to the unique nature of this new domain. We value creative problem solvers who can adapt their skills to meet the challenges presented in our project. Your key responsibilities will include proposing and evaluating AI/ML architectures for real-time officiating tasks, developing computer vision algorithms for object detection and tracking, designing reinforcement learning models for dynamic camera control, and building predictive models for real-time decision-making. Additionally, you will be integrating data from various sensors to enhance event detection accuracy, optimizing models for low-latency performance, and prototyping AI/ML modules using real or simulated data. You must also document architecture decisions, model designs, and implementation details, while staying updated on recent research and advancements in computer vision, machine learning, and reinforcement learning to enhance our product. Collaboration is essential, as you will participate in technical reviews, provide insights on system improvements, and work closely with the full-stack developer to integrate AI components into the software system. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related discipline with a focus on machine learning, computer vision, robotics, or data science. Proficiency in Python and familiarity with C++, experience with deep learning frameworks such as TensorFlow or PyTorch, hands-on experience with computer vision libraries, and understanding of reinforcement learning concepts are required technical skills. Familiarity with sensor fusion techniques, optimization for real-time systems, and software engineering practices is also expected. While direct experience in sports officiating is not mandatory, experience in fields like sports analytics, robotics, surveillance, or IoT will be advantageous. Soft skills such as problem-solving abilities, effective collaboration, adaptability, and team spirit are highly valued in our team. Join us to be part of an innovative domain that merges AI with sports officiating and analytics, work in a collaborative environment directly influencing the product's direction, gain growth opportunities as the company scales, and receive competitive compensation with potential equity participation in a rapidly evolving startup.,

Job Description: Embedded Systems Lead Drones, UGVs & Robotics Location: Hyderabad (On-site) Function: R&D | Embedded Systems Reports to: VP - R&D / CTO About the Role We are looking for a seasoned and hands-on Embedded Systems Lead to architect, develop, and optimize the embedded platforms driving our UAVs, UGVs, and autonomous robotics systems. This role is critical to advancing capabilities in battery optimization, obstacle avoidance, and navigation autonomy, ensuring high-reliability embedded solutions in dynamic and rugged environments. Key Responsibilities Embedded Systems Architecture & Development Architect and develop embedded solutions for UAVs, UGVs, and robotics, with a focus on autonomy and reliability. Design and optimize firmware for microcontrollers, sensor interfacing, and real-time processing. Battery Systems & Power Optimization Collaborate with electronics and battery teams to implement and optimize Battery Management Systems (BMS) for high-efficiency power usage. Optimize energy consumption strategies across sensors, compute modules, and communication systems. Obstacle Avoidance & Navigation Integrate and optimize sensor fusion algorithms combining data from LiDAR, stereo cameras, IMUs, GNSS, ultrasonic sensors, and radar. Collaborate with AI and systems software teams to enable real-time SLAM, path planning, and autonomous navigation. Hardware-Software Co-Design Work closely with the Electronics, Mechanical, and Systems Integration teams to ensure tight coupling between hardware capabilities and embedded firmware. Review and contribute to PCB design for signal integrity, thermal considerations, and EMI/EMC compliance. Team Leadership & Technical Mentorship Build, mentor, and lead a high-performance embedded engineering team. Conduct technical reviews and provide architectural guidance. Testing, Validation & Compliance Define and drive testing strategies for embedded platforms under real-world and extreme conditions (temperature, vibration, dust). Implement robust debugging, diagnostics, and performance monitoring mechanisms. Required Skills & Experience Bachelors/Masters in Electronics, Embedded Systems, Robotics, or related field. 8+ years experience in embedded systems development, ideally in drones, UGVs, robotics, or aerospace electronics. Expertise in Embedded C/C++, RTOS, and low-level driver development. Power management and battery systems integration. Sensor fusion and control systems for navigation. PCB design tools and hardware debugging (Altium, Eagle, oscilloscopes, JTAG). Communication protocols: CAN, I2C, SPI, UART. Prior experience with SLAM, obstacle avoidance systems, or autonomy-enabling technologies is highly preferred. Preferred Skills Familiarity with AI/ML inference on embedded platforms for perception tasks. Experience with motor control, ESC optimization, and propulsion systems. Knowledge of safety-critical systems and functional safety standards (e.g., ISO 26262). Personal Attributes Problem-solving mindset with a hands-on approach. Strong leadership skills and ability to work in a cross-functional startup environment. Passionate about building cutting-edge autonomous systems. Compensation Competitive and commensurate with experience and capability. How to Apply Send your resume, project portfolio, or technical write-ups to careers@marutdrones.com

The role of Embedded Systems Lead in the field of Drones, UGVs & Robotics based in Hyderabad will involve architecting, developing, and optimizing embedded platforms for UAVs, UGVs, and autonomous robotics systems. This critical position focuses on enhancing capabilities in battery optimization, obstacle avoidance, and navigation autonomy to ensure reliable embedded solutions in dynamic and rugged environments. Responsibilities include designing and developing embedded solutions with a focus on autonomy and reliability, optimizing firmware for microcontrollers and real-time processing, collaborating on Battery Management Systems (BMS) for power efficiency, integrating sensor fusion algorithms for obstacle avoidance and navigation, and working closely with cross-functional teams to ensure hardware-software co-design alignment. The ideal candidate should possess a Bachelor's/Master's degree in Electronics, Embedded Systems, Robotics, or related fields, with at least 8 years of experience in embedded systems development, particularly in drones, UGVs, robotics, or aerospace electronics. Proficiency in Embedded C/C++, RTOS, low-level driver development, power management, sensor fusion, and control systems is required. Experience with communication protocols, PCB design tools, and debugging techniques is essential. Preferred skills include familiarity with AI/ML inference on embedded platforms, motor control, ESC optimization, propulsion systems, and knowledge of safety-critical systems and functional safety standards. Personal attributes such as a problem-solving mindset, strong leadership skills, and a passion for cutting-edge autonomous systems are highly valued. The compensation offered is competitive and will be based on the candidate's experience and capabilities. To apply for this position, interested candidates are requested to send their resume, project portfolio, or technical write-ups to careers@marutdrones.com.,

The role of a SLAM Engineer at Peppermint Robotics involves developing autonomous navigation and mobility functions for robots designed for floor cleaning and material handling across various environments. You will be responsible for enhancing the capabilities of the navigation stack, refining mapping algorithms, and working on localization algorithms using different sensors to navigate dynamic environments such as airports, parking lots, warehouses, and malls. Integration and synchronization of data from sensors like Depth Camera, LiDARs, and IMUs with embedded development boards will be crucial to build a robust robot navigation system. The products you work on will be of world-class quality, manufactured in Pune (India), and distributed globally. Your key responsibilities will include developing and deploying localization, mapping, and calibration algorithms, staying updated with the latest advancements in robotics, collaborating with diverse teams for system integration, and optimizing algorithms for real-time performance. Hands-on experience with SLAM, robot navigation, sensor fusion, and various perception sensors will be essential for this role. Strong communication skills, a Bachelor's degree in Robotics, Computer Science, Electrical Engineering, or a related field, and at least 2 years of relevant experience are required. Proficiency in C++ programming, familiarity with Python, experience with ROS1 and/or ROS2, and a passion for developing software for cutting-edge robots are highly valued. You will report to the Lead - Robotics Engineer and collaborate with teams based in India, MEA, and the USA. Expect cross-team collaboration, hands-on learning, and professional attire in the office with necessary protective gear in the assembly area. As part of a fast-growing startup, you will be involved in planning and executing short and long-term robotic software plans and will be expected to align with Peppermint's work ethos, code of conduct, and culture of clear communication and continuous learning. If you are enthusiastic about working on a world-class product, possess a strong sense of curiosity, and are eager to learn and grow in the field of robotics, this role at Peppermint Robotics may be the perfect fit for you. To apply, please send your resume to allen.louis@peppermintrobotics.com.,

As an Algorithm Research & Development Engineer, you will be responsible for developing innovative solutions in the field of computer vision and image processing. With a minimum of 3-14 years of experience, you should be proficient in C++, image processing, computer vision, Open GL, and Open CL. Your primary focus will be on researching, designing, and implementing algorithms to address complex challenges in the domain. To excel in this role, you must have a strong educational background from Tier-1 colleges like IIT, IIIT, VIT, NIT, and possess expertise in subjects related to computer vision. Additionally, you should be a collaborative team player with exceptional written and verbal communication skills. A passion for rapid prototyping algorithms using MATLAB or Python is desired, along with the ability to implement algorithms in C++ software on Linux platforms. Candidates with prior experience in OpenCL, OpenGL, or OpenCV, and a background in sensor fusion, linear and nonlinear optimization techniques, CUDA/GPU programming frameworks, and data analysis and visualization tools will be preferred. Working in a product company environment is a prerequisite, as individuals from engineering product companies are more likely to be selected for this role. The successful candidate will have the opportunity to be part of a high-performing team in Chennai, India, focusing on AI-enabled semiconductor inspection equipment. You will collaborate with AI and HPC centers of excellence, contribute to product roadmaps through applied R&D, drive innovation through hackathons and engineering conferences, and enhance the technical IP portfolio through patent filings. In summary, this position offers a competitive total rewards package in a supportive and inclusive work environment. If you are a dedicated computer vision engineer or researcher with a track record of solving challenging problems and leading projects from inception to production, this role is tailored for you. Join us in shaping the future of AI-driven technologies and making a significant impact in the field of algorithm research and development.,

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.

Requirements Strong technical background: At least a Bachelors/Master of Engineering in Computer Science or Electrical Sciences or related areas with 4 years of industry experience in designing and implementing vision-based algorithms [prior knowledge of working with deep neural networks is a strong plus]. Skilled software engineer with experience in Python/C++ coupled with strong problem-solving skills. Passionate about solving real-world problems: Ideally worked on autonomous driving systems before. A team player: You take ownership and work with the team to deliver exceptional results. Ability to build and iterate quickly (AGILE mindset). You enjoy working in a fast-paced environment, and you are comfortable in all stages of a product development cycle. Good hands on: You like working with production grade machine learning pipelines, from dataset curation all the way till training, validation & deployment. Good communication skills: You are able to explain technical solutions clearly to all stakeholders. You have experience writing clear, concise, and detailed documentation. Skills Strong knowledge in DL (3yrs min): Computer vision (object detection, segmentation, depth estimation), Sensor fusion (camera, radar, LiDAR), Supervised & Self-supervised learning & Transfer Learning, CNNs and transformers, Real-time model deployment and optimization, Data augmentation and annotation, Scene understanding and 3D perception, Active learning and Semi-automated data annotation techniques Hands on experience in Full stack Vision/Image related projects in production (3yrs min) Data: Visualization, Data preparation, Data handling, Data analysis & deriving insights Model frameworks: Tensorflow & PyTorch Deployment: Docker, Kubernetes Cloud deployment: Azure/AWS Other skiils: Git, Linux, Cuda, OpenMP, Distributed systems Qualifications B.E/B.Tech

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)

The incumbent will be part of the embedded targets team, where he/ she will create programming solutions to easily access sensors and enable the implementation of smart algorithms like sensor fusion. A bachelor's degree and 3 years of professional work experience (or a master's degree) is required. Experience programming in C for embedded processors Experience with MATLAB Experience with embedded development environments: IDEs and debuggers Experience implementing device drivers (e.g., PWM, A/ D converters, Serial, I2C, SPI, Audio/ Video decoders/ encoders, etc.

We are seeking a Robotics Engineer with 10-15 years of experience to join our innovative team in India. The ideal candidate will have a strong background in designing and developing robotic systems, with a focus on integrating advanced technologies and ensuring reliability and efficiency. Responsibilities Design, develop, and test robotic systems and components. Collaborate with cross-functional teams to integrate robotics with existing systems. Conduct feasibility studies and simulations to assess project viability. Troubleshoot and resolve issues with robotic systems and software. Maintain documentation of designs, processes, and modifications. Skills and Qualifications Bachelor's or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, or a related field. Proficiency in programming languages such as C++, Python, or MATLAB. Experience with robotics simulation software (e.g., Gazebo, V-REP). Strong understanding of control systems and mechatronics. Familiarity with machine learning techniques and AI applications in robotics. Knowledge of hardware components such as sensors, actuators, and controllers. Experience with CAD software for designing robotic components.