35 Sensor Fusion Jobs

Job Role: Navigation, Guidance and Control Systems Engineer Location: Indian Institute of Technology Bombay, Mumbai Job Category: Project Research Staff About the project: The Government-funded project focuses on the development and demonstration of drone and allied technologies. With applications spanning various sectors, the initiative leverages advanced technologies and infrastructure. It aims to foster strong industry-academia collaborations to address real-world challenges and drive innovation. Comprehensive training programs are an integral component, ensuring awareness and proficiency in drone operations. Institute: Indian Institute of Technology (IIT) Bombay, Mumbai Qualification and Key Skills Required: PhD with relevant experience OR MTech / ME or equivalent with relevant experience OR BTech / BE or equivalent with relevant experience Experience of designing and developing algorithms for path planning / guidance strategies, control system, navigation / sensor fusion Implement these developed designs / algorithms with UAVs / Drones Test and validate the developed algorithms in simulation environment, that has close resemblance to actual flight environment scenario Familiarity with autopilot firmware, like PX4 and ArduPilot Sensor selection for specific UAV application along with knowledge of sensor fusion process for increased accuracy and reliability Knowledge of drones / aerial robots with regards to control and stability aspects of them Proficiency in programming languages, simulation and modelling tools (Python, C/C++, MATLAB/Simulink, ROS/ROS2, Gazebo etc.) Software: Mission Planner, QGC, CubeIDE, CubeMX Job Profile: Design and develop autonomous flight control, navigation and guidance systems, including path and mission planning, for different class of UAVs including Multi-rotor/ Fixed-wing/ VTOL for entire mission profile System identification and developing mathematical models of Multi-rotor/ Fixed-wing/ VTOL UAV dynamics Calibrate and integrate various sensors (like IMUs, GPS, Barometer, LiDAR, Radars, Camera and Optical flow sensor) Sensor fusion techniques for state and parameter estimation of UAVs Integration of the developed algorithms into onboard companion computers (such as Jetson, STM32 processor based boards) Well-versed with communications protocols (such as MAVLINK) Collaborate with cross-functional teams to enhance the capabilities of UAV systems Maintain a Proper documentation of design process, test results, modifications in algorithms and provide technical reports Any other work assigned as per requirement. Show more Show less

As a seasoned and technically astute Manager / Sr. Manager with expertise in Annotation & Labelling for Autonomous Vehicles (AV) and Advanced Driver Assistance Systems (ADAS), your role will involve managing complex, large-scale data labelling workflows across multi-sensor environments (Camera, LiDAR, Radar). You will engage with global AI/ML engineering teams and enterprise clients to ensure high-quality annotation projects across 2D, 3D, and semantic data pipelines. Key Responsibilities: - Manage annotation pipelines for image, video, LiDAR point cloud, and multi-sensor fusion data to support perception models. - Apply understanding of autonomous driving scenarios like lane detection, vehicle tracking, pedestrian movement, free space estimation, and object classification. - Translate real-world edge cases into structured labelling guidelines for different autonomy levels (L2-L4). - Drive end-to-end execution of annotation projects including planning, resource allocation, quality checks, and final delivery. - Ensure timely delivery of high-quality, accurately labelled datasets meeting client SLAs. - Define and track project KPIs such as annotation throughput, QA pass rates, rework percentages, and turnaround times. - Present technical solutions, pilot walkthroughs, and technical discussions during pre-sales or delivery. - Stay updated on emerging trends in ADAS/Autonomous space such as simulation data and open datasets. - Collaborate with business development teams for proposals, solutioning, and client onboarding. Key Skills & Competencies: - Deep knowledge of annotation types like bounding boxes, polygons, cuboids, semantic segmentation, LiDAR point cloud labelling, and object tracking. - Familiarity with sensor modalities (camera, LiDAR, radar), time-synced data alignment, and calibration workflows. - Understanding of the perception stack in AD/ADAS systems, from data ingestion to decision-making. - Proven ability to lead cross-functional teams globally for large-scale annotation projects. - Strong stakeholder management, reporting, and documentation skills. - Proficiency in industry-leading annotation tools and open-source platforms. - Familiarity with ML training feedback loops, model evaluation metrics, and data quality impact on AI performance. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related fields. - Minimum 8+ years of annotation/labelling experience, with at least 4-5 years in autonomous or ADAS domain. - Experience in managing teams and leading high-complexity annotation projects. - Project management certifications (PMP, Agile, Six Sigma) are an added advantage.,

DESCRIPTION Operations Specialist is responsible for validation and analysis of shopping sessions and events. As a part of the role, individual should root cause the technical irregularities and analyze the discrepancy reason(s), impact on receipt(s) further categorize the irregularities into appropriate buckets. Scope of this role also includes innovation, deep dive into unusual scenarios. The ideal candidate has a strong track record of research analysis, influence through collaboration, driving measurable business results, and attention to detail. This position is part of the world-wide grocery stores and supports a global customer base. Key job responsibilities . Perform data collection tasks related to Amazon devices, applications, or services. . Execute tasks assigned on daily basis by adhering to Standard Operating Procedures (SOPs) and guidelines. . Participate in process improvement to increase the quality, efficiency, and accuracy of the teams processes. . Partner with your team manager when your work is delayed or blocked due to technical issues. . Report issues with tools and software to the development team when necessary. . Maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information. . Leverage technology and process innovation to bring continuous improvement to the operations. . Analyze data to identify the root of a problem and solve it. About the team Grocery ECO is a new kind of shopping experience for customers with smart shopping carts - no lines and no checkout. Simply use the ECO cart to enter the store, take what you want from our selection of fresh, delicious meals, grocery essentials, and go through dedicated lane. ECO carts enable scanning of products as they are taken from the shelves and you can keep track of live receipt via screen on cart. When you're done shopping, you just leave the store. Shortly after, we'll charge your Amazon account. Our technology uses computer vision, sensor fusion, and advanced machine learning. BASIC QUALIFICATIONS . Bachelor's degree in any field. . Prior experience in process improvement . Demonstrated ability to be successful in a highly fluid, fast-paced and ambiguous environment . Fluent English language skills (spoken, reading and written) . MS Office (Word/Excel) . Flexible to work across all the shifts. . Candidate should carry overall experience of 1 year and be in Level 3 role for a minimum of 6 months PREFERRED QUALIFICATIONS . Prior experience in Data Annotations. . Work from office, 5 days a week. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

As a Robotics Engineer, you will be responsible for conducting research to determine the parameters of a robotic application. Your role will involve designing robotic systems from start to finish and integrating them with existing systems as needed. You will be tasked with developing robotics arm, mechanical, electromechanical, and electrical mechanisms based on specific requirements. Additionally, creating comprehensive documentation for robotic systems and ensuring cost-effective and efficient production processes will be part of your responsibilities. Monitoring the usage of robotic systems and optimizing their functionality will be crucial aspects of your job. You must possess excellent knowledge of CAD/CAM software and be well-versed in computer science, applied physics, and mechanics. Understanding IO communication with various peripheral devices, electrical wiring, and computer software engineering is essential. Your proficiency in using tools for tasks like soldering, welding, and metal cutting with precision will be required. Furthermore, your role will involve working on the implementation of ROS packages/algorithms for mapping, localization, sensor fusion, and navigation. Strong mathematical abilities are necessary for this position. You are expected to have intermediate knowledge of Robotics, Robotic Operating Systems (ROS), Multi-threaded applications, Simultaneous Localization and Mapping (SLAM), Virtual Simultaneous Localization and Mapping (VSLAM), Light Detection and Ranging (LIDAR), and communication protocols. Candidates with a minimum of 2 years of experience and a Diploma/B.Tech in Electronics & Communication, Electrical, or Mechatronics are encouraged to apply.,

As a skilled professional in C++ development with expertise in the Automotive ADAS domain, you will be responsible for ADAS feature development using advanced C++ concepts and best practices. Your primary focus will involve coding techniques for ADAS features, including sensor fusion, object detection, and machine learning. You should have experience in Sensor or Tracking, as well as a solid understanding of Git version control system for effective collaboration and code management. Proficiency in using the Bazel build tool for large-scale ADAS projects is essential for this role. Additionally, familiarity with the Gtest framework for writing unit tests and ensuring code quality will be advantageous. Your role will also require working on Embedded development projects within the Linux environment. Your expertise in sensor fusion, object detection, and AUTOMOTIVE technologies will be key in contributing to the success of ADAS feature development.,

* Strong Programming competency using C++, Python , Matlab * Excellent core experience with Ultrasonic Sensors, Time-of-flight, Signal Processing. * Experience in frameworks like ROS/ Open CV/ Sensor fusion frameworks. * Experience in Tools like Canalyzer / Simulink / GIT * Any experience into Deep learning for perception, embedded development, ML - based filtering will be an added advantage. Soft Skills : Systems thinking, Cross- functional collaboration, realtime debugging

Are you an experienced Embedded Systems & IoT enthusiast eager to take on the challenge of building cutting-edge wireless communication and AI-driven embedded products Do you have the vision to lead technology development from the ground up and drive the future of connected devices and intelligent embedded solutions ChipIoT Embedded Solutions India Pvt Ltd is looking for a Co-Founder & CTO to join as a core team member and take ownership of the technology roadmap, driving innovation and execution in the IoT, embedded AI, and wireless communication domains. ChipIoT is an emerging embedded solutions company working on next-gen IoT, wireless, and AI-driven embedded systems. Our portfolio includes LAN-to-WiFi bridges, LoRa-based communication systems, audio devices, and AI-powered embedded solutions for industrial and healthcare applications. We are now expanding to AI-driven embedded intelligence, and we need a technical leader to spearhead this growth. We are seeking a tech visionary passionate about building innovative embedded and IoT products who can provide hands-on leadership as "Engineer #1" to architect and build the MVP. The ideal candidate should have strong expertise in embedded firmware, hardware design, and AI-driven embedded systems, along with experience in wireless communication technologies such as LoRa, Bluetooth, WiFi, Zigbee, etc. Proficiency in C, C++, Python, Embedded Linux, RTOS, ESP32, STM32, Raspberry Pi, or similar platforms is required. Familiarity with AI/ML in embedded systems, sensor fusion, edge computing, and low-power optimization is a plus. The candidate should also have the ability to integrate hardware and cloud platforms via MQTT, REST APIs, or WebSockets, as well as experience in leading a tech team, architecting scalable solutions, and making key technology decisions. As a Co-Founder & CTO at ChipIoT, you will have the opportunity to shape the company's technology vision, product roadmap, and growth strategy. This equity-based role initially offers future financial compensation as the company scales. The position is based in Pune, with flexibility to suit work-life balance, and provides ownership & autonomy over technical architecture, design, and execution. You will work on deep-tech IoT solutions with real-world applications, shaping the future of embedded intelligence and IoT-driven AI solutions in India. Join us to work on groundbreaking projects in AI-powered edge devices, wireless communication, and embedded IoT platforms, gain hands-on experience in scaling an innovative startup, build and lead a strong technical team from the ground up, and receive equity ownership in a fast-growing deep-tech company. If you're a passionate technologist eager to make an impact, let's build the future together! If you are interested, please email us at anurag@chipiotembedded.com or apply here.,

As a Robotics Software Engineer, your primary responsibility will be in designing, developing, and optimizing ROS-based software solutions for various robotic applications. You will collaborate closely with a multidisciplinary team to improve robotic autonomy, with a specific focus on areas such as motion planning, perception, and real-time system integration within the ROS framework. Your key responsibilities will include developing and implementing ROS-based software architectures for different robotic applications. You will also be tasked with designing and optimizing motion planning, path planning, and control algorithms within ROS frameworks. Creating and maintaining simulation environments using platforms like Gazebo and RViz will also be part of your duties. Additionally, you will be developing real-time communication modules using ROS topics, services, and actions, while optimizing robotic perception and sensor fusion using technologies like LiDAR, depth cameras, and vision systems. Efficient and scalable coding in C++ and Python for ROS applications, debugging and optimizing ROS nodes for enhanced performance and reliability, and implementing AI-based enhancements for autonomous robotic decision-making within ROS are also essential aspects of your role. To qualify for this position, you should possess a Bachelor's or Master's degree in Robotics, Computer Science, Software Engineering, or a related field, along with at least 2 years of experience in developing ROS-based software applications. Proficiency in C++ and Python for ROS development, experience with Gazebo and real-time ROS-integrated simulations, expertise in robot perception, sensor processing, and data fusion, as well as knowledge of ROS middleware, messaging, and debugging tools are required. Experience with robotic control algorithms and kinematics, an understanding of networking and communication protocols, and familiarity with tools like ROSbridge, MQTT, and DDS are also necessary. While not mandatory, it would be advantageous to have experience in AI-driven robotics and reinforcement learning within ROS, familiarity with cloud-based ROS deployments and remote operations, as well as knowledge of Docker, Kubernetes, and CI/CD for ROS applications. Any contributions to open-source ROS projects or community involvement would also be considered beneficial. In return, we offer you the opportunity to work on cutting-edge robotic software solutions with a dynamic team, a competitive salary, and growth opportunities. You will have a chance to make an impact in industries such as healthcare, warehouses, airports, and facility management. We provide a full-time, permanent job type with a flexible schedule, Monday to Friday workdays, and performance bonuses. If you are passionate about robotics and software engineering, and possess the required qualifications and experience, we would be excited to have you join our team.,

The role available is for Robotics Software Development within the engineering team, specifically as a Senior SLAM engineer. In this position, you will be responsible for developing autonomous navigation and mobility functions for robots designed for floor cleaning and material handling in various environments. Your tasks will involve enhancing the capabilities of the current navigation stack, improving mapping algorithms, and working on localization algorithms using different sensors to adapt to dynamic environments such as airports, parking lots, warehouses, and malls. You will collaborate to integrate and merge data from sensors like Depth Camera, LiDARs, and IMUs with embedded development boards to create a robust robot navigation system. The work will revolve around creating world-class products produced in Pune (India) and distributed globally. Your main responsibilities will include developing and implementing localization, mapping, and calibration algorithms, staying updated with the latest advancements in robotics, working closely with diverse teams to integrate robotic systems, gaining a deep understanding of various sensors, optimizing algorithms for real-time performance, engaging in hands-on tasks related to robotic hardware, and testing robotic systems in simulated and real-world scenarios. To excel in this role, the following qualifications and skills are highly valued: a Bachelor's degree in Robotics, Computer Science, Electrical Engineering, or a related field, 2+ years of relevant experience, strong communication and interpersonal skills, a passion for developing software for high-quality robots, proficiency in C++ programming and software design, experience with Python, familiarity with ROS1 and/or ROS2, hands-on experience with SLAM, robot navigation, and sensor fusion, practical knowledge of Kalman Filtering and state estimation methods, familiarity with PCL/Open3D, experience working with real robots and perception sensors like time-of-flight cameras, 2D/3D LIDAR, and stereo cameras, and a strong curiosity and eagerness to learn new concepts, technologies, and methodologies. You will report to the Lead - Robotics Engineer and collaborate with teams in India, MEA, and the USA. Expect a work environment that encourages cross-team collaboration, hands-on learning, and self-development. The dress code is professional in the office and requires protective gear such as overalls, gloves, safety goggles, safety shoes, and other necessary equipment in the assembly area. As part of a rapidly growing product startup, your role will involve planning and strategizing robotic software for the product portfolio. Alignment with Peppermint's work ethos, code of conduct, and culture is crucial, emphasizing authentic communication, continuous learning, and a supportive culture. Overall, you will be working on a high-quality product, which can be both fulfilling and challenging, requiring a proactive and dedicated approach to your work.,

The Robotics Software Lead position requires a specialised individual with expertise in planner and controller plugin development for NAV2, specifically focusing on motion planning, path optimization, and precise control tuning for Autonomous Mobile Robots systems. In this role, you will need to have a deep understanding of robot kinematics models, AI-powered navigation, and non-odometric SLAM techniques such as RTAB-Map, ORB-SLAM, LIO-SAM, LOAM, and ICP. Your responsibilities will include developing global and local path planning algorithms for real-time obstacle avoidance and navigation optimization. You will also be responsible for implementing trajectory planning, route optimization, and dynamic path adjustments to ensure smooth and adaptive mobility in complex environments. As a Robotics Software Lead, you will design custom global and local planner plugins integrated into NAV2 to optimize trajectory execution and replanning efficiency. You will enhance planners to improve navigation precision for autonomous robots in both structured and unstructured scenarios. Additionally, you will develop custom controller plugins integrating SMAC, PID, MPC, and EKF-based dynamic control mechanisms. Your role will involve fine-tuning feedback loops and real-time control adjustments to optimize robot responsiveness. In terms of fusion and localization, you will be responsible for integrating LiDAR, GPS, IMU, Stereo Cameras, and Radar for SLAM-based localization, ensuring robust environmental mapping and positioning. You will also implement multi-sensor fusion techniques for high-accuracy navigation across diverse terrains. Your work will involve designing and implementing full-stack ROS2 navigation architectures, optimizing behavior trees, and waypoint-following algorithms. You will utilize simulation frameworks such as Gazebo, Isaac Sim, and Omniverse to validate planning and control models before real-world implementation. Furthermore, you will work on Sim2Real adaptations to ensure efficient translation of simulation-based algorithms into physical robotic platforms. You will implement probabilistic motion models, decision-making frameworks, and AI-powered behavior. It is essential to maintain technical documentation for planner/controller APIs, navigation pipelines, and SLAM-driven localization strategies. To be successful in this role, you should have expertise in ROS2, NAV2 planner & controller development, SLAM techniques, robot kinematics models, and simulation tools. Hands-on experience in developing planner and controller plugins for NAV2, proficiency in controller plugin development, and experience with sensor fusion are also required. If you are someone who can join within 15 days from the offer, and you possess the necessary skills and experience outlined above, we encourage you to apply for this exciting opportunity in the field of robotics software development.,

As a Senior Engineer - Perception Systems at Rebhu Computing, you will play a crucial role in leading the design and development of high-performance perception modules for next-generation robotic systems. Your responsibilities will encompass technical leadership, team and project support, engineering management, hiring, and team building. In terms of technical leadership, you will be tasked with architecting end-to-end perception systems, overseeing the integration of various perception modules with robotic platforms, and driving the optimization of real-time computer vision and sensor fusion stacks. Additionally, you will be expected to mentor junior engineers, collaborate with cross-functional teams, and ensure effective communication between internal stakeholders and clients. Setting standards for code quality, testing, and continuous integration, leading technical decision-making, and acting as a technical point of contact for clients and internal leadership are also part of your role. When it comes to hiring and team building, you will define role requirements, conduct technical interviews, and contribute to building a world-class perception team. Your expertise will help shape the engineering culture through thoughtful hiring and mentoring practices. To be successful in this role, you must have a minimum of 5 years of experience in computer vision, sensor fusion, or robotics perception, as well as proficiency in C++ and/or Python for real-time systems. Strong experience with frameworks like OpenCV, ROS, TensorRT, and hands-on experience deploying models on embedded or edge platforms are essential. A deep understanding of camera models, calibration, and real-time data processing is also required. Experience with SLAM, multi-sensor fusion, or 3D vision pipelines, familiarity with embedded Linux, GStreamer, or low-latency video pipelines, and prior leadership, mentoring, or hiring experience are considered nice-to-have qualifications. In return, Rebhu Computing offers you the opportunity to lead perception in mission-critical, real-world systems, a collaborative and intellectually vibrant work environment, as well as competitive compensation and performance-based incentives.,

As an AI Research Engineer at Mantra Softech, a technology leader in biometric solutions venturing into AI-powered smart home devices, you will play a crucial role in shaping the future of connected living. Your primary responsibility will be to lead initiatives in LLMs, Edge AI, sensor fusion, ML Models, and natural language interfaces to develop AI-powered experiences across innovative smart home devices. You will be instrumental in designing and developing GenAI-driven AI agents capable of interpreting multimodal inputs and executing context-aware actions. Your role will involve driving initiatives in agentic AI frameworks, architecting LLMOps workflows, and deploying real-time AI applications across cloud and edge environments with a focus on performance and reliability. To excel in this role, you must have a proven track record of designing, deploying, and delivering AI/ML systems into production, with expertise in LLMs, GenAI pipelines, prompt engineering, and agentic AI. Proficiency in Python (and/or C/C++), PyTorch/TensorFlow, and AI/ML frameworks is essential, along with experience in LLMOps, time-series analysis, model optimization, and SQL. Preferred skills for this role include familiarity with LangChain, LlamaIndex, digital twins, telemetry, AI safety, cloud deployment, and microservices. A master's degree in AI/ML, Computer Science, or a related field from a reputed institute, coupled with 4-6 years of industry experience in GenAI and production deployments, is required. If you are passionate about GenAI applications, AI agents, and transforming natural language prompts into actionable insights, this role offers you the opportunity to work on cutting-edge AI projects that will drive the future of connected living. Join us at Mantra Softech and be part of a world-class AI team that is revolutionizing the way we interact with smart home devices.,

As a Perception Algorithm Developer, your main responsibility will be to develop algorithms for object detection, tracking, segmentation, and 3D scene understanding. You will be working with sensors such as cameras, LiDAR, radar, and depth sensors to enhance environment perception. Additionally, you will be tasked with implementing SLAM, mapping, and localization solutions for real-time robotics applications. Your role will also involve fusing data from multiple sensors to create accurate and reliable environmental models. Furthermore, you will optimize and deploy perception pipelines on edge devices like NVIDIA Jetson. Collaboration with navigation, planning, and control teams is essential to integrate perception into full robotic systems. An important part of your job will include collecting, annotating, and managing datasets for testing and training perception models. To excel in this role, you should possess a strong background in computer vision and deep learning, with proficiency in OpenCV, PyTorch, and TensorFlow. Experience in 3D perception, including stereo vision, point clouds, and SLAM, is required. Proficiency in programming languages such as C++ and Python is essential. Hands-on experience with ROS and ROS2 is a must. Knowledge of sensor fusion techniques and real-time optimization will be beneficial for this position.,

Job Description: At Peepul Agri, we are committed to revolutionize farming with our C.A.S.E Agronomy solutions (Connected, Autonomous, Shared and Electric) to unleash the potential of smallholder farmers. As a Robotics Software Engineer, you will be responsible for developing and implementing software solutions for Agri Robots. You will collaborate with cross-functional teams to design and optimize algorithms, and integrate software components with hardware systems. The ideal candidate will have strong programming skills in C, C++, experience in developing algorithms and software for robotic systems, knowledge of sensor fusion, perception, path planning, and control systems in robotics, strong problem-solving and analytical skills. Experience with autonomous navigation systems is a plus.,

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.,