Lead Robotics Engineer – SLAM
1 day ago
Location:
Pune, Maharashtra (On-site)
Company:
Muks Robotics
Department:
Robotics & Autonomous Systems
Experience:
2+ Years (Robotics / Perception / Autonomous Systems)
About the Role
We are looking for a highly skilled
Lead Robotics Engineer
with deep expertise in
2D/3D SLAM, VSLAM, LiDAR-based mapping, and multi-sensor fusion
to drive the perception stack of our humanoid robots. The candidate will play a key role in designing, implementing, and optimizing real-time mapping and localization pipelines across industrial and social humanoid platforms.
Key Responsibilities
- Lead the development and deployment of
real-time 2D/3D SLAM solutions
for indoor and outdoor navigation. - Build and optimize
multi-sensor fusion
using
3D/4D LiDAR, Intel RealSense, IMU, wheel odometry, and RGB-D cameras
. - Implement
VSLAM pipelines
and integrate them into the organization's perception framework. - Own and maintain
navigation, localization, and mapping modules
in ROS2. - Work closely with motion planning, controls, and AI teams to enable fully autonomous behaviors.
- Develop clean and maintainable code using
C++ & Python
following best robotics software practices. - Lead a small team of robotics engineers and ensure timely project delivery.
- Benchmark and improve robustness for complex dynamic environments.
- Support real-world deployments, field testing, tuning, and performance improvements.
Required Skills & Expertise
- Strong hands-on experience with
2D & 3D SLAM algorithms (Cartographer, ORB-SLAM, LOAM, RTAB-Map, etc.) - Expertise in
LiDAR-based mapping and point cloud processing (PCL, Open3D, etc.) - Practical experience working with
3D/4D LiDARs and Intel RealSense camera family - High-performance robotics software development using
C++ and Python - Proficiency with
ROS2 (Nav2, TF2, RMW, DDS, middleware) - Deep understanding of
sensor calibration, extrinsics, odometry, and transforms - Experience with
real-time embedded Linux systems and GPU-accelerated pipelines - Familiarity with
Docker, CI/CD pipelines and Git
is a plus
Preferred Qualifications
- Master's/PhD in Robotics, Computer Science, Mechatronics, or related field
- Experience working with
humanoid robots or mobile manipulators - Publications / open-source contributions in perception / SLAM communities
- Experience with
deep learning–based perception frameworks (nice to have)
What We Offer
- Opportunity to shape the future of
India's first humanoid product line - Work on
cutting-edge hardware–software fusion challenges - High-ownership, innovation-driven culture
- Competitive salary, ESOP options & growth path into leadership roles
-
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