About Clutterbot Imagine a world where you never have to worry about picking up clutter again! At our robotics startup, we understand the challenges families face trying to balance work and daily responsibilities while keeping their homes tidy. That's why we're developing a cutting-edge household robot that will revolutionize the way you live. This safe and innovative robot will drive around your house, effortlessly picking up toys, clothes, and other items off the floor and organizing them neatly into containers. Say goodbye to clutter and hello to a more efficient and stress-free home life! As part of our close-knit team, you'll have the opportunity to work on cutting-edge technology and be at the forefront of the robotics industry. You'll also have the chance to grow your skills and expertise through collaboration with experienced professionals in the field. Join us in building the future of home automation and experience a fulfilling and rewarding career journey! About The Role We are seeking a Manual Tester to join our team and contribute to the QA team for the robotics system testing. The duration of the internship will be for 3 months initially, with a possibility of a potential full-time position based on performance. What you’ll be doing 1. Execute Test case as per the document and process 2. Raise Bugs/Issue in JIRA 3. Clearly need to communicate the observations Your Background/ Skills 1. Good at Understanding and Interpretation of Documents 2. Good verbal and Non-verbal communication 3. Good Analytical skill 4. Good written communication skills 5. Attention to detail 6. Idea on basic Linux commands or any hobby project in Raspberry Pi 7. Diploma in IT/CSE or any circuit branches
About Clutterbot Imagine a world where you never have to worry about picking up clutter again! At our robotics startup, we understand the challenges families face trying to balance work and daily responsibilities while keeping their homes tidy. That's why we're developing a cutting-edge household robot that will revolutionize the way you live. This safe and innovative robot will drive around your house, effortlessly picking up toys, clothes, and other items off the floor and organizing them neatly into containers. Say goodbye to clutter and hello to a more efficient and stress-free home life! As part of our close-knit team, you'll have the opportunity to work on cutting-edge technology and be at the forefront of the robotics industry. You'll also have the chance to grow your skills and expertise through collaboration with experienced professionals in the field. Join us in building the future of home automation and experience a fulfilling and rewarding career journey! About The Role We are looking for a motivated Sensor Fusion Engineer to join our team and work on developing and fine-tuning sensor fusion algorithms for home robots. As a Sensor Fusion Engineer, you will be responsible for designing and deploying sensor fusion methods that improve state estimation by integrating data from various sensors, such as RGB cameras, IR range sensors, and Depth ToF. You will ensure that the sensor fusion algorithms are robust, scalable, and efficient, adapting over time based on data collected from the robot's initial working sessions. Your work will play a key role in enhancing the robot's performance in dynamic environments. Responsibilities : Develop and deploy deep learning models for computer vision tasks such as semantic segmentation, object detection, and image classification. Fine-tune and optimize deep learning models to improve performance and efficiency. Develop and deploy sensor fusion algorithms by combining data from multiple sensors (e.g., RGB cameras, IR range sensors, and Depth ToF sensors) on edge devices such as Nvidia Jetson or Qualcomm RB5 kits. Create and refine calibration methods for accurate data alignment and synchronization across sensors. Collaborate with software engineers and product managers to ensure seamless integration and deployment of sensor fusion solutions in real-time systems. Stay up-to-date with the latest advancements in sensor fusion, machine learning, and edge computing technologies. Requirements: Bachelor's or Master's degree in Computer Science or related field. Strong programming skills in C++ and Python. 1-3 years of experience in training and deploying deep learning computer vision models such as semantic segmentation, object detection, and image classification on Nvidia or Qualcomm platform. Hands-on experience working with RGB cameras, IR range sensors, Depth ToF sensors, and edge devices like Nvidia or Qualcomm kits. Familiarity with frameworks and libraries such Gstreamer, OpenCV, TensorFlow, PyTorch. Experience in developing and deploying algorithms on embedded systems and optimizing for computational efficiency in edge environments. Ability to work collaboratively with cross-functional teams and handle multi-sensor data to create reliable and real-time solutions. Benefits Competitive compensation package Team building activities Flexible work culture Company Sponsored Devices.
As a ML/AI Robotics Intern at Clutterbot, you will be part of a dynamic and innovative team dedicated to revolutionizing robotics technology. Your role will involve developing robust and fast solutions for our robot perception, contributing to the advancement of our autonomous household robot. Key Responsibilities: - Collaborate with the machine learning team to develop robotics software for perception, navigation, and robot control. - Maintain and enhance the existing dataset and models used for robot software. - Integrate system architecture, conduct testing, and validate software and robot platform. - Perform model optimization and pruning to enable inference on edge devices. Qualifications Required: - Final year of Bachelor's degree in Computer Science or a related field. - Proficiency in C++ and Python programming with a strong understanding of ROS fundamentals. - Background in Computer Vision, 3D geometry, and perception systems. - Experience in deploying ML models on edge devices and low-compute environments. - Knowledge of deep learning, computer vision, and prior experience in training and deploying ML models for various tasks. - Strong technical and mathematical knowledge. - Excellent written and verbal communication skills. - Ability to collaborate effectively with remote and global teams.,
About Clutterbot Imagine a world where you never have to worry about picking up clutter again! At our robotics startup, we understand the challenges families face trying to balance work and daily responsibilities while keeping their homes tidy. That's why we're developing a cutting-edge household robot that will revolutionize the way you live. This safe and innovative robot will drive around your house, effortlessly picking up toys, clothes, and other items off the floor and organizing them neatly into containers. Say goodbye to clutter and hello to a more efficient and stress-free home life! As part of our close-knit team, you'll have the opportunity to work on cutting-edge technology and be at the forefront of the robotics industry. You'll also have the chance to grow your skills and expertise through collaboration with experienced professionals in the field. Join us in building the future of home automation and experience a fulfilling and rewarding career journey! About The Role We are seeking a highly skilled and experienced Robotics Engineer to lead our SLAM (Simultaneous Localization and Mapping) efforts within our advanced mobile robotics system. This role involves both technical leadership and hands-on development, requiring the individual to guide a small team while also actively designing, implementing, and optimizing complex behaviors for autonomous mobile robots. The successful candidate will leverage expertise in ROS, C++, and Python to develop cutting-edge solutions. What you'll be doing 1. Develop and implement SLAM algorithms for mobile robotic systems, ensuring accurate localization and mapping in dynamic environments. 2. Design and implement robust perception algorithms for reliable object detection and tracking. 3. Perform multi-sensor calibration and fusion, integrating data from cameras, LIDAR, IMU, and other sensors. 4. Work closely in collaboration with navigation and control teams to generate reliable environment mapping to enable smarter planning capabilities. 5. Own comprehensive testing and evaluation efforts for SLAM and perception algorithms, ensuring robust performance in real-world scenarios. 6. Collaborate with cross-functional teams including software engineers, hardware engineers, and product managers to integrate SLAM and perception capabilities into our robotic systems. 7. Optimize algorithms for real-time performance and ensure their scalability across different hardware platforms. 8. Stay up to date with the latest advancements in SLAM and perception technologies, and actively contribute to research and development efforts. 9. Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and improvement. Your Background/ Skills 1. Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, or a related field (Ph.D. is a plus). 2. Minimum of 5 years of proven experience in robotics development, with a strong track record in both technical execution and team/project management. 3. Solid understanding of SLAM techniques and algorithms, such as Extended Kalman Filters, Particle Filters, Graph-based SLAM, etc. 4. Strong background in computer vision and 3D geometry, with practical experience in object detection, pattern recognition, and tracking algorithms. 5. Proven hands-on experience in designing SLAM systems for mobile robots, including defining system architecture, selecting appropriate sensors, implementing data fusion strategies, and ensuring scalability in real-world environments. 6. Proficiency in programming languages such as C++, Python, and popular robotics frameworks like ROS2 (Robot Operating System) and Gazebo. 7. Demonstrated experience with sensor calibration and fusion (cameras, LIDAR, IMU). 8. Excellent mathematical and analytical skills, with the ability to efficiently implement complex algorithms. 9. Proven ability to solve complex problems with minimal supervision in a timely manner. 10. Strong communication skills, both verbal and written, with the ability to present complex technical concepts to both technical and non-technical stakeholders. 11. Ability to collaborate effectively with remote and global teams in a fast-paced, collaborative environment. Preferred Qualifications: 1. Familiarity with semantic mapping and/or learning-based pipelines for SLAM use-cases. 2. Familiarity with working of common SLAM sensor drivers like LIDAR, cameras, IMU etc. 3. Knowledge of path planning and behavior trees. 4. Experience with CI/CD infrastructure and software packaging. 5. Experience with simulation frameworks like Nvidia Isaac, Habitat, etc. Benefits 1. Competitive compensation package 2. Team building activities 3. Flexible work culture 4. Company-Sponsored Devices.
About Clutterbot Are you ready to join the robotics revolution Clutterbot is not your average technology company. We're a dynamic and innovative team, creating cutting-edge solutions that bring order to the chaos in people's lives. Our mission is simple yet powerful: creating tidy spaces for people with busy lives. By developing an autonomous household robot that picks up toys, clothing, and everything in between, we're transforming the way families live. Join us at the forefront of robotics, machine learning, and software, and let's make a lasting impact together! About The Role As Head of Autonomy, you will lead the teams responsible for building the intelligence behind our robots. You will oversee the Robot Software, Machine Learning, and Data Annotation teams, with a focus on team structure, ownership, and execution. Your role is to ensure that teams are aligned, well-supported, and set up to deliver high-quality outcomes. You will also serve as the Site Lead for our Bangalore office. In this capacity, you will help shape the office culture, support coordination with global teams, and grow our presence in India's technology ecosystem. This is a leadership role centered on building strong teams, setting direction, and ensuring consistent delivery. You will work closely with technical leaders, but will not be expected to own low-level design or implementation. What you'll be doing Technical Leadership and Strategy Define and communicate the autonomy roadmap in partnership with product and technical leads Ensure teams have clear goals, well-defined responsibilities, and efficient processes Support planning and decision-making across autonomy, hardware, and product teams Create alignment across teams while helping to resolve prioritization or execution challenges Team Management Lead and support multiple autonomy teams, such as: Robot Software teams focusing on areas like high-level behaviors, system state, localization, mapping, and navigation Machine Learning teams focusing on robot perception, model development, ML platforms, and data management Data Annotation teams building scalable data pipelines and workflows Build an environment of trust, accountability, and continuous improvement Provide mentoring, feedback, and career development support for team members and leads Bangalore Site Leadership Act as the senior leader for our Bangalore office and ensure strong alignment with our global team based in New Zealand. Cultivate a high-performance, inclusive engineering culture. Support hiring efforts and retain key team members. Represent the company within India's technology and robotics ecosystem. Build relationships with academic institutions, partners, and local communities. Execution and Delivery Drive execution across teams using structured planning and agile delivery practices Monitor progress against milestones, identify and resolve blockers, and ensure high-quality output Track delivery KPIs, engineering effectiveness, and team health Oversee validation and testing efforts to ensure real-world performance and safety Experience At least 10 years of experience in robotics or AI, including 5 years in management or technical leadership roles Strong understanding of autonomy systems such as SLAM, planning, perception, and ML-based decision-making Proven experience scaling and structuring engineering teams with clear ownership and cross-functional alignment Familiarity with tools and frameworks including Python, C++, ROS, and machine learning stacks such as PyTorch or TensorFlow Excellent communication and leadership skills, with a focus on clarity, execution, and collaboration Why Join Us Build a category-defining robotics product that aims to improve everyday life for millions Solve real-world problems using cutting-edge technology and thoughtful design Join a smart, collaborative, world-class team in a fast-paced and flexible environment Work from our new 23,508 sq ft modern office in HSR Layout, designed for focus, teamwork, and execution Enjoy competitive pay, stock options, healthcare, and great office perks