Pace Robotics, incubated by SINE IIT Bombay and backed by Pidilite Ventures and IIMA Ventures, is transforming building construction with intelligent, multi-tasking robots. We've launched India's first multi-tasking construction robot in partnership with Sobha Ltd, the most renowned real estate developer across India and the Middle East and have secured pre-order interests from top-tier firms in the region. Our flagship product, Centa Painter, automates paint, putty, and sanding for building interiors.

Now, we're scaling deployments to seize global leadership in construction robotics within 24 months along with development on new robots for additional use cases across construction finishes

About the Role:

We are seeking a high-caliber Post-Graduate to join our Robot Autonomy team in Bengaluru. This is an intensive 6-month residency designed for engineers with a Master’s degree who excel at applying first-principles physics to complex robotic challenges. You will be responsible for building highly accurate and accurate localization and mapping stack for our autonomous systems that will reliably help them navigate and plan their work in ever changing construction environments.

Key Responsibilities:

- State Estimation: Develop and fuse multi-sensor pipelines (3D LiDAR, IMU, Wheel Odometry) using Factor Graphs, EKF etc. to provide a stable pose estimate at 100Hz+.
- Point Cloud Registration: Implement and optimize scan-matching algorithms (ICP, NDT, or Feature-based) robust to dusty environments and feature-poor hallways.
- Loop Closure & Optimization: Design robust loop closure detection to eliminate long-term drift, ensuring the robot can return to its homing position after a full-floor mission.




- Life-Long Mapping: Implement "Map Cleaning" or sub-mapping techniques to handle construction sites where geometry changes daily.
- Manual Data Pipeline: Manage a data pipeline to build a local dataset of site geometries for off-site training and simulation.
- Leverage latest Deep Learning/Machine Learning based techniques to develop robot’s decision making capabilities.
- Collaborate closely with hardware teams to deploy solutions on physical robots.
- Contribute to technical research and stay updated with the latest in 3D Robot Vision and SLAM literature.
- Perform debugging, profiling and performance tuning for on-robot deployment.

Technical Requirements & Qualifications:

- A Master's degree in a relevant field like Robotics, Control Systems, Mathematics, Computer Science, Electrical Engineering etc.
- Strong understanding of SLAM concepts (Graph-based SLAM, Visual SLAM, LiDAR SLAM, etc.)
- Proficient in sensor fusion using Kalman Filters, Particle Filters, or other probabilistic models.
- Familiarity with classical Computer Vision techniques
- Familiarity with concepts related to ML/DL
- Positive programming skills in C++ and Python
- Experience with ROS and/or ROS 2
- Experience with deep learning-based localization or VO/VIO systems.




- Strong foundations in mathematical concepts of Linear Algebra, Probability, Statistics and Differential Calculus
- Experience with simulation environments like Gazebo Ignition, ISAAC sim etc.
- Experience with implementing robot software on NVIDIA Jetson based Edge Computing devices
- Familiarity with relevant Libraries: PyTorch, TensorRT, ONNX, Eigen, Open CV, PCL, Open3D, Ceres etc.
- Hands-on experience with real robots and perception sensors such as time-of-flight and stereo cameras, 2D/3D LIDAR, and IMUs.
- Comfortable with Git and collaborative development workflows.
- Comfortable with Digital SIgnal Processing and Robot Kinematics

What's in it for you:

Globally, Construction provides a 1.6 Trillion Dollar opportunity, just by making the work more efficient. This is the market we are after. You will be an integral part of the core team of an early stage startup on a mission change the way we build our world and disrupt one of the oldest and the largest industries.

You will be designing products that can change the landscape of construction, become ubiquitous in project sites and be synonymous with construction of the future (Think of JCB and Tower Cranes of today)

We promise you an environment that promotes unhindered innovation and one that can provide exciting opportunities for accelerated growth. You will be working with a stellar engineering team having diverse experience in developing robots for automotive, agriculture and construction industries. You will have immense learning opportunity as you will be working on ‘never-seen-before’ products for an industry that’s ripe for technological disruptions.

📌 Robotics Research Resident: Localization and Mapping (Bengaluru)
🏢 Pace Robotics®
📍 Bengaluru