13 Slam Jobs

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: At Qualcomm XR Perception, were a passionate team of engineers who want to change the world through virtual and augmented reality products and technologies. We develop state-of-the-art, power efficient XR perception algorithms optimized for Qualcomm hardware. The perception algorithms enable XR systems to map the users environment and track the user within the environment. To scale and strengthen our offering, Qualcomm XR Perception team in Bengaluru is rapidly expanding and seeking candidates to investigate and develop the fundamental perception algorithm that enables self-contained XR platforms. We are looking for innovators who will push the boundaries of mobile perception technology to offer a robust platform to our customers. Job Function/General Responsibilities In this job the candidate would Be part of a world-class XR team researching and developing XR perception Work with building blocks of Simultaneous Localization and Mapping (SLAM) o Multi-view geometry o Sensor Fusion o Pose estimation o Non-linear optimization Apply ML/ DL techniques to enhance accuracy and robustness of traditional SLAM systems Implement efficient and optimized algorithms in C++ Understand and analyze requirements for perception systems for XR platforms Have excellent verbal and written communication and presentation skills Candidate that fits this role should be well versed in the basics of Linear algebra Probability Multi-view geometry Sensor fusion Estimation techniques Non-linear optimization Machine learning techniques Object oriented programming in C++ Keywords Virtual reality, Augmented reality, Computer vision, Machine learning, Perception, VIO, SLAM Educational requirements: Bachelor's degree in Engineering, Applied Mathematics, Computer Science, or related field +3 years of work experience OR Master's degree in Engineering, Applied Mathematics, Computer Science, or related field Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.

We are seeking a highly skilled Senior Perception Engineer to join our team. The ideal candidate will have extensive experience in developing and implementing perception algorithms for robotic systems, with a focus on sensor fusion, SLAM, and multi-modal sensing. Master's or Ph.D. in Computer Science, Robotics, or a related field 3-8 years of experience in perception engineering for autonomous systems Strong programming skills in C++ and Python Extensive experience with SLAM algorithms, computer vision, and sensor fusion techniques Proficiency in working with LiDAR, camera, radar, and IMU sensors Hands-on experience with ROS2 Familiarity with deep learning frameworks and their application to perception tasks Experience with real-time systems and embedded software development Strong mathematical background in linear algebra, probability theory, and optimization Preferred Qualifications Experience with autonomous vehicle perception systems Knowledge of sensor calibration techniques Experience with multi-object tracking and motion prediction Experience with Autoware. Key Skills C++ Sensor fusion SLAM Computer vision LiDAR processing Radar processing ROS2 Autoware Python Machine learning Roles and Responsibilities Design and develop advanced perception algorithms for autonomous robots using LiDAR, Cameras, Radar, and other sensors Implement and optimize sensor fusion techniques to improve object detection, tracking, and localization Develop and maintain SLAM (Simultaneous Localization and Mapping) systems for various robotic platforms Integrate perception algorithms with Autoware and ROS2 frameworks Collaborate with cross-functional teams to ensure seamless integration of perception systems with other components of the autonomous stack Conduct research on state-of-the-art perception techniques and implement novel solutions to improve system performance Participate in the full development lifecycle, including design, implementation, testing, and deployment of perception software

Strong software development skills in Modern C++ and Python. Proficient in working with the ROS (Robot Operating System) framework. Familiar with SLAM/Position Tracking, 3D Reconstruction, Depth Sensing.

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)

Key Responsibilities Develop and deploy AR, VR, and MR applications using Unity or Unreal Engine. Implement real-time 3D graphics, optimizing rendering performance for high-quality experiences. Work with AR SDKs such as ARKit, ARCore, and Vuforia to build interactive AR applications. Create immersive web experiences using WebGL, WebGPU, WebXR, and WASM. Ensure cross-platform compatibility across Android, iOS, WebAssembly, Linux, macOS, and Windows. Utilize Git for version control and collaborate using tools like Visual Studio and Visual Studio Code. Integrate Photon Networking for multiplayer and networked XR applications. Apply 3D transformations, computer vision, and spatial computing for enhanced user experiences. Work on real-time image and video processing to improve visual quality and responsiveness. Required Skills & Qualifications Strong programming expertise in C#, C++, Python & JavaScript. Proficiency in Unity or Unreal Engine for real-time 3D development. Deep understanding of 3D graphics principles, including linear algebra and rendering techniques. Hands-on experience with AR SDKs and spatial computing concepts. Strong foundation in mathematical and computational principles related to 3D development. Familiarity with networking solutions for multiplayer and interactive XR applications. Preferred (Good To Have) Skills Experience with SLAM (Simultaneous Localization and Mapping). Knowledge of AI-driven AR solutions. Expertise in GPU optimization for real-time rendering performance.

Requirements: Strong software design skills, including debugging, performance analysis. Excellent knowledge of Data Structures and Algorithms along with strong fundamentals in OOPs concepts. Strong C++ fundamentals and proficient in scripting languages like Python, Bash, etc. Experience with Linux Development Environment and Build mechanisms like Cmake, etc. Experience with robotics frameworks such as ROS, ROS2 and simulators such as Gazebo, Stage, Webots, etc. Familiar with SLAM related algorithms such as Gmapping, Google Cartographer, RtabMap, GraphSLAM, etc. Ability to develop motion primitives and path planning algorithms like A*, Dijkstra, RRTs, etc. Strong technical understanding and experience working with communication protocols like TCP, MQTT,DDS, ZMQ, etc. while balancing trade offs with bandwidth, latency, and reliability. Experience with integration of sensors like IMU, LIDAR, etc. Experience and knowledge of version control systems like Git, Bitbucket, Mercurial, etc. First hand experience with Unit Testing frameworks like PyTest, xUnit, etc. Solid mathematical foundation and understanding of the robot kinematics. Good to Have: Experience in development using Design patterns. Past relevant experience with SMACH, Behavior Trees, Finite State Machines, etc. Experience working with AMRs, AGVs, multi-agent systems, fleet management and robotics logistics solutions. Experience and knowledge of perception algorithms, computer vision etc. Knowledge of Testing Frameworks and experience building CI/CD pipelines. Knowledge of frameworks such as RESTful services and APIs, MySQL, MongoDB. Ability to design modular and service oriented architecture." Eligible candidates: Desired Qualification: BE/ B. Tech (Computer Science, Electronics, Mechanical, Electrical, Aerospace or relevant engineering domain) Work Experience: 2-5 years

As a Robotics Vision Engineer, you will be responsible for developing and deploying vision algorithms that enable robotic systems to perceive, interpret, and interact with their surroundings. You will work on SLAM (Simultaneous Localization and Mapping), object detection, depth perception, sensor fusion, and real-time image processing. This role requires expertise in computer vision, robotics, real-time image processing, and integrating vision systems into autonomous robotic platforms.

Requirements: Strong software design skills, including debugging, performance analysis. Excellent knowledge of Data Structures and Algorithms along with strong fundamentals in OOPs concepts. Strong C++ fundamentals and proficient in scripting languages like Python, Bash, etc. Experience with Linux Development Environment and Build mechanisms like Cmake, etc. Experience with robotics frameworks such as ROS, ROS2 and simulators such as Gazebo, Stage, Webots, etc. Familiar with SLAM related algorithms such as Gmapping, Google Cartographer, RtabMap, GraphSLAM, etc. Ability to develop motion primitives and path planning algorithms like A*, Dijkstra, RRTs, etc. Strong technical understanding and experience working with communication protocols like TCP, MQTT,DDS, ZMQ, etc. while balancing trade offs with bandwidth, latency, and reliability. Experience with integration of sensors like IMU, LIDAR, etc. Experience and knowledge of version control systems like Git, Bitbucket, Mercurial, etc. First hand experience with Unit Testing frameworks like PyTest, xUnit, etc. Solid mathematical foundation and understanding of the robot kinematics. Good to Have: Experience in development using Design patterns. Past relevant experience with SMACH, Behavior Trees, Finite State Machines, etc. Experience working with AMRs, AGVs, multi-agent systems, fleet management and robotics logistics solutions. Experience and knowledge of perception algorithms, computer vision etc. Knowledge of Testing Frameworks and experience building CI/CD pipelines. Knowledge of frameworks such as RESTful services and APIs, MySQL, MongoDB. Ability to design modular and service oriented architecture." Eligible candidates: Desired Qualification: BE/ B. Tech (Computer Science, Electronics, Mechanical, Electrical, Aerospace or relevant engineering domain) Work Experience: 2-5 years

We are seeking a highly skilled and motivated Computer Vision Engineer with 3-4 years of experience to join our team. The ideal candidate will have a strong background in image processing, deep learning, and machine learning techniques, along with hands-on experience in developing and deploying computer vision applications. Key Responsibilities: Design, develop, and optimize computer vision algorithms for tasks such as object detection, tracking, segmentation, depth estimation, and activity recognition. Implement and train deep learning models using frameworks such as TensorFlow, PyTorch, and OpenCV. Process and analyze large-scale image and video datasets to extract meaningful insights. Develop and optimize deep learning pipelines, including dataset preparation, model training, evaluation, and deployment. Work with multiple camera inputs and multimodal data for real-time applications. Collaborate with software engineers and data scientists to integrate computer vision models into production environments. Research and implement the latest advancements in computer vision and deep learning. Debug and troubleshoot issues in vision-based applications, optimizing for accuracy and performance. Work on AI infrastructure, machine learning accelerators, and on-device optimization. Required Qualifications: B.Tech in Computer Science, Electrical Engineering, Electronics, or a related field. Hands-on experience developing learning algorithms for computer vision tasks such as object detection, object tracking, segmentation, optical flow, and multi-view geometry. Strong understanding of deep learning architectures, representational learning, and domain adaptation. Ability to train, debug, and deploy deep learning models, iterating on failure characterization and model improvement. Proficiency in Python and ML/DL frameworks such as TensorFlow, PyTorch, and TensorRT. Experience working with multiple input sources such as cameras, LiDAR, and embedded controllers. Hands-on experience with MLOps tools and methods is a plus. Familiarity with AI infrastructure, machine learning accelerators, and on-device optimization. Strong programming skills with experience in C++, Python, or C#. Experience with version control tools such as Git and development in Linux environments. Highly motivated individual with a strong work ethic, the ability to work independently, and adaptability to a fast-paced environment. Preferred Qualifications: Experience in 3D computer vision, SLAM, or LiDAR processing. Knowledge of adversarial and generative models. Exposure to hardware acceleration and embedded AI deployment. Strong understanding of software development best practices and performance optimization. Interested? Apply now or drop your resume at apin.lal@gadgeon.com

Position - Senior Perception Engineer Locations: Faridabad, Haryana, India Minimum Experience: 5+ Years Education Qualification: BTech/MTech / PHD Work Mode - Hybrid We are seeking a highly skilled Senior Perception Engineer to join our team. The ideal candidate will have extensive experience in developing and implementing perception algorithms for robotic systems, with a focus on sensor fusion, SLAM, and multi-modal sensing. Master's or Ph.D. in Computer Science, Robotics, or a related field 3-8 years of experience in perception engineering for autonomous systems Strong programming skills in C++ and Python Extensive experience with SLAM algorithms, computer vision, and sensor fusion techniques Proficiency in working with LiDAR, camera, radar, and IMU sensors Hands-on experience with ROS2 (Robotics processing system) Familiarity with deep learning frameworks and their application to perception tasks Experience with real-time systems and embedded software development Strong mathematical background in linear algebra, probability theory, and optimization Preferred Qualifications Experience with autonomous vehicle perception systems Knowledge of sensor calibration techniques Experience with multi-object tracking and motion prediction Experience with Autoware. Key Skills C++ Sensor fusion SLAM Computer vision LiDAR processing Radar processing ROS2 Autoware Python Machine learning If interested, send your updated CV in word attachment with following details to ankur@beanhr.com.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: At Qualcomm XR Research, we develop state-of-the-art XR technologies to enable exceptional AR/VR/MR experiences for users. We are seeking a highly skilled XR Testing Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the quality and performance of our XR systems through comprehensive testing and analysis. This role involves a combination of test automation, KPI development, UX testing, anchor testing, and reporting. The candidate will also engage in discussions with stakeholders to ensure alignment and clarity on testing objectives and outcomes. Key Responsibilities: Develop and implement test automation strategies for XR systems. Create and monitor Key Performance Indicators (KPIs) for various testing processes. Conduct User Experience (UX) testing to ensure optimal user interaction with XR systems. Perform anchor testing and develop anchor KPIs to measure system stability and accuracy. Generate detailed reports on testing outcomes and present findings to stakeholders. Collaborate with stakeholders to discuss testing requirements, progress, and results. Required Qualifications: Experience in testing XR/SLAM/VIO systems. Familiarity with test automation tools and frameworks. Knowledge of KPI development and monitoring. Background in UX testing focused on XR devices. Good knowledge of computer vision systems and their role in XR. Strong mathematical and analytical skills Exposure to multi-sensor data fusion techniques and their implementation. Strong communication skills to effectively discuss testing results with stakeholders. Education and experience: Required:Bachelor"™s in computer science or electrical & computer engineering with at least 7+ years of relevant experience. Preferred:Master"™s in computer science or electrical & computer engineering with at least 6+ years of relevant experience. Keywords XR Device testing, SLAM system testing, computer vision, user experience testing, KPI development. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: At Qualcomm XR Research, we develop state-of-the-art XR technologies to enable exceptional AR/VR/MR experiences for users. We are seeking a highly skilled XR Testing Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the quality and performance of our XR systems through comprehensive testing and analysis. This role involves a combination of test automation, KPI development, UX testing, anchor testing, and reporting. The candidate will also engage in discussions with stakeholders to ensure alignment and clarity on testing objectives and outcomes. Key Responsibilities: Develop and implement test automation strategies for XR systems. Create and monitor Key Performance Indicators (KPIs) for various testing processes. Conduct User Experience (UX) testing to ensure optimal user interaction with XR systems. Perform anchor testing and develop anchor KPIs to measure system stability and accuracy. Generate detailed reports on testing outcomes and present findings to stakeholders. Collaborate with stakeholders to discuss testing requirements, progress, and results. Required Qualifications: Experience in testing XR/SLAM/VIO systems. Familiarity with test automation tools and frameworks. Knowledge of KPI development and monitoring. Background in UX testing focused on XR devices. Good knowledge of computer vision systems and their role in XR. Strong mathematical and analytical skill Exposure to multi-sensor data fusion techniques and their implementation. Strong communication skills to effectively discuss testing results with stakeholders. Education and experience: Required:Bachelors in computer science or electrical & computer engineering with at least 7+ years of relevant experience. Preferred:Masters in computer science or electrical & computer engineering with at least 6+ years of relevant experience. Keywords XR Device testing, SLAM system testing, computer vision, user experience testing, KPI development. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: At Qualcomm XR Research, we develop state-of-the-art XR technologies to enable exceptional AR/VR/MR experiences for users. We are seeking a highly skilled XR Testing Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the quality and performance of our XR systems through comprehensive testing and analysis. This role involves a combination of test automation, KPI development, UX testing, anchor testing, and reporting. The candidate will also engage in discussions with stakeholders to ensure alignment and clarity on testing objectives and outcomes. Key Responsibilities: Develop and implement test automation strategies for XR systems. Create and monitor Key Performance Indicators (KPIs) for various testing processes. Conduct User Experience (UX) testing to ensure optimal user interaction with XR systems. Perform anchor testing and develop anchor KPIs to measure system stability and accuracy. Generate detailed reports on testing outcomes and present findings to stakeholders. Collaborate with stakeholders to discuss testing requirements, progress, and results. Required Qualifications: Experience in testing XR/SLAM/VIO systems. Familiarity with test automation tools and frameworks. Knowledge of KPI development and monitoring. Background in UX testing focused on XR devices. Good knowledge of computer vision systems and their role in XR. Strong mathematical and analytical skill Exposure to multi-sensor data fusion techniques and their implementation. Strong communication skills to effectively discuss testing results with stakeholders. Education and experience: Required:Bachelors in computer science or electrical & computer engineering with at least 7+ years of relevant experience. Preferred:Masters in computer science or electrical & computer engineering with at least 6+ years of relevant experience. Keywords XR Device testing, SLAM system testing, computer vision, user experience testing, KPI development. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.