ARAPL RaaS

Company Name: ARAPL RaaS Pvt. Ltd. Location : Gurgaon, Pune Mode: Work From Office (WFO) / Hybrid Who We Are ARAPL RaaS Pvt. Ltd is a leading technology company specializing in Robotics as a Service (RaaS). We are at the forefront of innovative autonomous solutions, with a focus on developing cutting-edge autonomous mobile robots (AMRs). We are seeking a dynamic and experienced Lead Project Manager to spearhead the development of our autonomous forklift AMR. The successful candidate will play a critical role in assembling a technical team, managing the project's progress, controlling the budget, and establishing key supplier relationships. What We Need We are seeking a highly motivated and experienced Lead Robotic Engineer specializing in Perception to join our dynamic team and play a critical role in the development and implementation of advanced robotic perception and computer vision systems for our robots. The ideal candidate will be responsible for leading and guiding a team of engineers in designing, developing, and deploying robust and efficient algorithms for object detection, tracking, scene understanding, and semantic segmentation. Additionally, the candidate will utilize 3D cameras and LiDAR's to enhance the accuracy and precision of object recognition in various environments. This role offers an exciting opportunity to contribute to cutting-edge robotics technology and make a significant impact on the field. The ideal candidate will also be responsible for staying abreast of the latest advancements in the field and driving innovation within the team. Job Description Lead, mentor, and manage a team of engineers developing robotic perception and computer vision systems. Architect, design, and deploy deep learning and classical vision algorithms for: Multi Object and Single Object detection and tracking Object classification and re-identification Semantic and instance segmentation Scene understanding and Free-Space detection Develop robust sensor fusion models using LiDAR, stereo/depth cameras, and IMU/GPS. Ensure real-time performance and efficient computation on edge devices (e.g., NVIDIA Jetson, x86 systems). Own perception subsystem integration with the full autonomy stack (navigation, planning, control). Perform extensive validation via simulations and real-world testing in warehouses and factories. Collaborate cross-functionally with navigation, controls, systems engineering, and product teams. Maintain high-quality documentation, architecture diagrams, and code standards. Utilize deep learning, classical CV, and geometric methods for robust real-time performance. Drive innovation through research, evaluation of emerging technologies, and PoCs. Skill Sets Required Ph.D. or master's degree in Robotics, Computer Vision, Electrical Engineering, or related field. 4-7 years’ of demonstrated experience in developing and deploying perception systems for robots. Strong proficiency in programming languages such as Python, C/C++ Hands-on knowledge of data structures and algorithms for point cloud processing and are familiar with ROS/ROS2, OpenCV and PCL Expertise with tools and libraries like OpenCV, PCL, Tensor RT, Py Torch. Experience in tracking-by-detection, sensor calibration, and point cloud processing Hands-on experience with LiDARs (e.g., Velodyne, Ouster) and 3D cameras (e.g., ZED, Intel RealSense). Familiarity with ADAS concepts such as forward collision warning, object avoidance zones, and fail-safe sensing.\ Hands-on experience with 3D cameras and LiDARs for perception applications. Strong communication and leadership skills Passion for robotics and a desire to push the boundaries of technology. Benefits Competitive salary with performance-based bonuses. Comprehensive health and wellness benefits. Opportunities for professional development and continued education. Collaborative and innovative work environment.

Development Engineer I/II – Localization & Mapping Company Name: ARAPL RaaS Pvt. Ltd. Location : Gurgaon, Pune Mode: WFO/Hybrid Who We Are ARAPL RaaS Pvt. Ltd is a leading technology company specializing in Robotics as a Service (RaaS). We are at the forefront of innovative autonomous solutions, with a focus on developing cutting-edge autonomous mobile robots (AMRs). We are seeking a dynamic and experienced Lead Project Manager to spearhead the development of our autonomous forklift AMR. The successful candidate will play a critical role in assembling a technical team, managing the project's progress, controlling the budget, and establishing key supplier relationships. What We Need We’re seeking a SLAM expert with several years of experience to join the Perception team at the team senior engineer level. As a SLAM Expert, you will play a technical development role in developing and implementing state-of-the-art SLAM algorithms and systems to advance our cutting-edge fulfillment technology. We are looking for people who thrive in a creative, collaborative, and agile development environment. Job Description Lead the design and development of SLAM-based navigation systems for robotic platforms. Utilize SLAM algorithms and techniques to enable accurate localization and mapping in various environments. Develop, optimize, and implement SLAM algorithms and systems for real-time applications. Conduct research and stay up to date with the latest advancements in SLAM and related fields. Design and execute experiments to evaluate the performance and robustness of SLAM algorithms and systems. Collaborate with cross-functional teams, including software engineers, computer vision experts, and robotics engineers, to integrate SLAM solutions into various projects. Provide technical guidance and support to team members working on SLAM-related projects. Identify and analyze challenges in SLAM implementation and propose innovative solutions. Contribute to the development of tools and frameworks to streamline the SLAM development process. Document and communicate research findings, algorithms, and technical specifications effectively. Skill Sets Required A Bachelors / master's degree in Computer Science, Robotics or a related field. 1-4 years of demonstrated experience in SLAM research and development, with a strong publication record in relevant conferences and journals. Expertise in various SLAM techniques, such as visual SLAM, LiDAR SLAM, visual-inertial SLAM, graph-based SLAM, Kalman filtering, bundle adjustment, structure from motion, etc. 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. Experience with popular SLAM libraries and frameworks, such as ROS, OpenCV, PCL, GTSAM, and g2o. Strong mathematical and analytical skills, with the ability to apply advanced mathematical concepts to solve SLAM challenges. Strong communication and teamwork skills to collaborate effectively with interdisciplinary teams. Prior experience working with autonomous systems and robotics. Benefits Competitive salary with performance-based bonuses. Comprehensive health and wellness benefits. Opportunities for professional development and continued education. Collaborative and innovative work environment.

We are seeking a skilled ROS Engineer to work on on-site implementation, integration, and support of our Autonomous Forklifts (AMRs). The ideal candidate will have a strong background in robotics deployment, system integration, and field troubleshooting, with specific expertise in Robot Operating System (ROS). This role requires extensive travel to various customer sites in the USA and Europe. Candidates holding a valid USA visa are preferred. Key Responsibilities: On-Site Deployment & Integration: Lead the on-site installation and deployment of autonomous forklifts, ensuring proper setup and configuration. Integrate AMRs with existing warehouse management systems (WMS) and facility infrastructure. Calibrate and tune the forklifts' navigation and control systems using ROS to adapt to specific operational environments. Conduct comprehensive testing to ensure optimal performance, reliability, and safety of the deployed AMRs. Customer Support & Training: Provide hands-on training to customers on the operation, maintenance, and troubleshooting of autonomous forklifts. Serve as the primary point of contact for customer support during and after the deployment phase. Gather customer feedback and identify areas for improvement in both deployment processes and product performance. System Troubleshooting & Optimization: Diagnose and resolve technical issues related to hardware, software, and network connectivity of the autonomous forklifts, using ROS tools for debugging and analysis. Perform system updates, software patches, and configuration changes to enhance forklift performance. Collaborate with the engineering team to implement solutions for any deployment challenges encountered in the field. Documentation & Reporting: Maintain detailed deployment documentation, including site assessment reports, configuration settings, and troubleshooting logs. Provide regular updates to the Deployment Manager on project status, including any risks or delays. Develop and improve standard operating procedures (SOPs) for deployment and support activities. Key Skills & Requirements: Experience: Experience in deploying and supporting autonomous systems, robotics, or automated industrial equipment. Hands-on experience with autonomous forklifts, AMRs, AGVs, or similar robotic systems. Proficiency in Robot Operating System (ROS) for robot control, navigation, and diagnostics. Technical Skills: Strong understanding of robotics, navigation systems (e.g., SLAM), and sensor integration. Experience with ROS, including creating and managing nodes, topics, and services. Proficiency in troubleshooting hardware and software issues in robotic systems. Familiarity with warehouse management systems (WMS) and industrial network protocols (e.g., Wi-Fi, Ethernet, CAN bus). Basic programming skills (e.g., Python, C++) for configuring and debugging autonomous systems. Knowledge of safety standards and regulations related to autonomous industrial vehicles. Soft Skills: Excellent communication and interpersonal skills to work effectively with customers and cross-functional teams. Strong problem-solving skills with the ability to work independently in a dynamic environment. Willingness to travel extensively within the USA and Europe for on-site deployments and customer support. Benefits: Competitive salary with performance-based bonuses. Comprehensive health and wellness benefits. Opportunities for professional development and continued education. Collaborative and innovative work environment.

Company Name : ARAPL RaaS Pvt. Ltd. Location : Gurgaon, Pune Mode : Work From Office (WFO) / Hybrid Who We Are ARAPL RaaS Pvt. Ltd is a leading technology company specializing in Robotics as a Service (RaaS). We are at the forefront of innovative autonomous solutions, with a focus on developing cutting-edge autonomous mobile robots (AMRs). We are seeking a dynamic and experienced Lead Project Manager to spearhead the development of our autonomous forklift AMR. The successful candidate will play a critical role in assembling a technical team, managing the project's progress, controlling the budget, and establishing key supplier relationships. What We Need We are seeking a highly motivated and experienced Lead Robotic Engineer specializing in Perception to join our dynamic team and play a critical role in the development and implementation of advanced robotic perception and computer vision systems for our robots. The ideal candidate will be responsible for leading and guiding a team of engineers in designing, developing, and deploying robust and efficient algorithms for object detection, tracking, scene understanding, and semantic segmentation. Additionally, the candidate will utilize 3D cameras and LiDAR's to enhance the accuracy and precision of object recognition in various environments. This role offers an exciting opportunity to contribute to cutting-edge robotics technology and make a significant impact on the field. The ideal candidate will also be responsible for staying abreast of the latest advancements in the field and driving innovation within the team. Job Description Lead, mentor, and manage a team of engineers developing robotic perception and computer vision systems. Architect, design, and deploy deep learning and classical vision algorithms for : Multi Object and Single Object detection and tracking Object classification and re-identification Semantic and instance segmentation Scene understanding and Free-Space detection Develop robust sensor fusion models using LiDAR, stereo/depth cameras, and IMU/GPS. Ensure real-time performance and efficient computation on edge devices (e.g., NVIDIA Jetson, x86 systems). Own perception subsystem integration with the full autonomy stack (navigation, planning, control). Perform extensive validation via simulations and real-world testing in warehouses and factories. Collaborate cross-functionally with navigation, controls, systems engineering, and product teams. Maintain high-quality documentation, architecture diagrams, and code standards. Utilize deep learning, classical CV, and geometric methods for robust real-time performance. Drive innovation through research, evaluation of emerging technologies, and PoCs. Skill Sets Required Ph.D/ master's / Bachelor's degree in Robotics, Computer Vision, Electrical Engineering, or related field. 5-12 years of demonstrated experience in developing and deploying perception systems for robots. Strong proficiency in programming languages such as Python, C/C++ Hands-on knowledge of data structures and algorithms for point cloud processing and are familiar with ROS/ROS2, OpenCV and PCL Expertise with tools and libraries like OpenCV, PCL, TensorRT, PyTorch. Experience in tracking-by-detection, sensor calibration, and point cloud processing Hands-on experience with LiDARs (e.g., Velodyne, Ouster) and 3D cameras (e.g., ZED, Intel RealSense). Familiarity with ADAS concepts such as forward collision warning, object avoidance zones, and fail-safe sensing. Hands-on experience with 3D cameras and LiDARs for perception applications. Strong communication and leadership skills Passion for robotics and a desire to push the boundaries of technology. Benefits Competitive salary with performance-based bonuses. Comprehensive health and wellness benefits. Opportunities for professional development and continued education. Collaborative and innovative work environment. (ref:hirist.tech)

Company Name : ARAPL RaaS Pvt. Ltd. Location : Gurgaon, Pune Mode : WFO/Hybrid Who We Are ARAPL RaaS Pvt. Ltd is a leading technology company specializing in Robotics as a Service (RaaS). We are at the forefront of innovative autonomous solutions, with a focus on developing cutting-edge autonomous mobile robots (AMRs). We are seeking a dynamic and experienced Lead Project Manager to spearhead the development of our autonomous forklift AMR. The successful candidate will play a critical role in assembling a technical team, managing the project's progress, controlling the budget, and establishing key supplier relationships. What We Need Were seeking a SLAM expert with several years of experience to join the Perception team at the team senior engineer level. As a SLAM Expert, you will play a technical development role in developing and implementing state-of-the-art SLAM algorithms and systems to advance our cutting-edge fulfillment technology. We are looking for people who thrive in a creative, collaborative, and agile development environment. Were seeking a SLAM expert with several years of experience to join the Perception team at the team senior engineer level. As a SLAM Expert, you will play a technical development role in developing and implementing state-of-the-art SLAM algorithms and systems to advance our cutting-edge fulfillment technology. We are looking for people who thrive in a creative, collaborative, and agile development environment. Job Description Lead the design and development of SLAM-based navigation systems for robotic platforms. Utilize SLAM algorithms and techniques to enable accurate localization and mapping in various environments. Develop, optimize, and implement SLAM algorithms and systems for real-time applications. Conduct research and stay up to date with the latest advancements in SLAM and related fields. Design and execute experiments to evaluate the performance and robustness of SLAM algorithms and systems. Collaborate with cross-functional teams, including software engineers, computer vision experts, and robotics engineers, to integrate SLAM solutions into various projects. Provide technical guidance and support to team members working on SLAM-related projects. Identify and analyze challenges in SLAM implementation and propose innovative solutions. Contribute to the development of tools and frameworks to streamline the SLAM development process. Document and communicate research findings, algorithms, and technical specifications effectively. Skill Sets Required A Bachelors /master's or Ph.D. degree in Computer Science, Robotics or a related field. 3-7 years of demonstrated experience in SLAM research and development, with a strong publication record in relevant conferences and journals. Expertise in various SLAM techniques, such as visual SLAM, LiDAR SLAM, visual-inertial SLAM, graph-based SLAM, Kalman filtering, bundle adjustment, structure from motion, etc. 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. Experience with popular SLAM libraries and frameworks, such as ROS, OpenCV, PCL, GTSAM, and g2o. Strong mathematical and analytical skills, with the ability to apply advanced mathematical concepts to solve SLAM challenges. Strong communication and teamwork skills to collaborate effectively with interdisciplinary teams. Prior experience working with autonomous systems and robotics. Benefits Competitive salary with performance-based bonuses. Comprehensive health and wellness benefits. Opportunities for professional development and continued education. Collaborative and innovative work environment. (ref:hirist.tech)

As a skilled ROS Engineer, you will be responsible for the on-site implementation, integration, and support of Autonomous Forklifts (AMRs). Your strong background in robotics deployment, system integration, and field troubleshooting, with specific expertise in Robot Operating System (ROS), will be essential for this role. This position will involve extensive travel to various customer sites in the USA and Europe, and candidates holding a valid USA visa are preferred. Key Responsibilities: On-Site Deployment & Integration: Lead the on-site installation and deployment of autonomous forklifts, ensuring proper setup and configuration. Integrate AMRs with existing warehouse management systems (WMS) and facility infrastructure. Calibrate and tune the forklifts" navigation and control systems using ROS to adapt to specific operational environments. Conduct comprehensive testing to ensure optimal performance, reliability, and safety of the deployed AMRs. Customer Support & Training: Provide hands-on training to customers on the operation, maintenance, and troubleshooting of autonomous forklifts. Serve as the primary point of contact for customer support during and after the deployment phase. Gather customer feedback and identify areas for improvement in both deployment processes and product performance. System Troubleshooting & Optimization: Diagnose and resolve technical issues related to hardware, software, and network connectivity of the autonomous forklifts, using ROS tools for debugging and analysis. Perform system updates, software patches, and configuration changes to enhance forklift performance. Collaborate with the engineering team to implement solutions for any deployment challenges encountered in the field. Documentation & Reporting: Maintain detailed deployment documentation, including site assessment reports, configuration settings, and troubleshooting logs. Provide regular updates to the Deployment Manager on project status, including any risks or delays. Develop and improve standard operating procedures (SOPs) for deployment and support activities. Key Skills & Requirements: Experience: Experience in deploying and supporting autonomous systems, robotics, or automated industrial equipment. Hands-on experience with autonomous forklifts, AMRs, AGVs, or similar robotic systems. Proficiency in Robot Operating System (ROS) for robot control, navigation, and diagnostics. Technical Skills: Strong understanding of robotics, navigation systems (e.g., SLAM), and sensor integration. Experience with ROS, including creating and managing nodes, topics, and services. Proficiency in troubleshooting hardware and software issues in robotic systems. Familiarity with warehouse management systems (WMS) and industrial network protocols (e.g., Wi-Fi, Ethernet, CAN bus). Basic programming skills (e.g., Python, C++) for configuring and debugging autonomous systems. Knowledge of safety standards and regulations related to autonomous industrial vehicles. Soft Skills: Excellent communication and interpersonal skills to work effectively with customers and cross-functional teams. Strong problem-solving skills with the ability to work independently in a dynamic environment. Willingness to travel extensively within the USA and Europe for on-site deployments and customer support. Benefits: Competitive salary with performance-based bonuses. Comprehensive health and wellness benefits. Opportunities for professional development and continued education. Collaborative and innovative work environment.,

As a skilled ROS Engineer, you will be responsible for the on-site implementation, integration, and support of Autonomous Forklifts (AMRs). Your background in robotics deployment, system integration, and field troubleshooting will be essential, along with specific expertise in Robot Operating System (ROS). This role will require extensive travel to various customer sites in the USA and Europe, making candidates holding a valid USA visa preferred. Your key responsibilities will include leading the on-site installation and deployment of autonomous forklifts, ensuring proper setup, configuration, integration with existing warehouse management systems (WMS), and facility infrastructure. You will calibrate and tune the forklifts" navigation and control systems using ROS to adapt to specific operational environments, conduct comprehensive testing for optimal performance, reliability, and safety of the deployed AMRs. Additionally, you will provide hands-on training to customers on operation, maintenance, and troubleshooting of autonomous forklifts, act as the primary point of contact for customer support, gather feedback for improvements, diagnose and resolve technical issues, perform system updates, collaborate with the engineering team, maintain detailed documentation, provide regular updates to the Deployment Manager, and develop standard operating procedures (SOPs). The ideal candidate should have experience in deploying and supporting autonomous systems, robotics, or automated industrial equipment, hands-on experience with autonomous forklifts, AMRs, AGVs, or similar robotic systems, proficiency in ROS for robot control, navigation, and diagnostics, a strong understanding of robotics, navigation systems, and sensor integration, experience with creating and managing ROS nodes, topics, and services, proficiency in troubleshooting hardware and software issues in robotic systems, familiarity with warehouse management systems and industrial network protocols, basic programming skills for configuring and debugging autonomous systems, knowledge of safety standards related to autonomous industrial vehicles, excellent communication and interpersonal skills, strong problem-solving skills, and willingness to travel extensively within the USA and Europe for on-site deployments and customer support. In return, you can expect a competitive salary with performance-based bonuses, comprehensive health and wellness benefits, opportunities for professional development and continued education, and a collaborative and innovative work environment.,

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.,