Deep Learning SLAM Engineer

3 years

0 Lacs

Posted:2 months ago| Platform: Linkedin logo

Apply

Work Mode

On-site

Job Type

Full Time

Job Description

About Luxolis:

Luxolis is at the forefront of building cutting-edge robotic systems with applications spanning autonomous navigation, augmented reality, and advanced perception. We are a fast-growing company developing intelligent solutions that push the boundaries of computer vision, robotics, and deep learning. Join us as we innovate and shape the future of autonomous systems.


Position Overview:

We are seeking a highly skilled Deep Learning SLAM Engineer


Key Responsibilities:

  • Develop and Implement SLAM Algorithms:

    Design and optimize state-of-the-art SLAM algorithms that integrate deep learning models for robust and accurate localization and mapping in dynamic environments.
  • Deep Learning Integration:

    Apply deep learning techniques (e.g., CNNs, RNNs, transformers) to improve traditional SLAM systems for better feature extraction, object detection, and semantic understanding.
  • Sensor Fusion:

    Work with multimodal sensor data, including LiDAR, RGB cameras, depth sensors, and IMUs, to enhance SLAM performance under challenging conditions (e.g., low light, motion blur, moving objects).
  • Algorithm Optimization:

    Focus on optimizing SLAM systems for real-time performance, scalability, and resource efficiency (e.g., memory, processing power).
  • Testing and Validation:

    Design and run extensive tests to validate the robustness, accuracy, and real-world applicability of SLAM systems across different environments (urban, indoor, outdoor, etc.).
  • Collaboration:

    Work closely with cross-functional teams including hardware engineers, software developers, and data scientists to integrate SLAM algorithms into autonomous systems (robotics, drones, AR devices).
  • Research & Innovation:

    Stay up to date with the latest advancements in SLAM, deep learning, and robotics, and contribute to innovative solutions that drive the next generation of autonomous technologies.
  • Documentation & Reporting:

    Maintain clear documentation for algorithms, tests, and performance metrics, and report progress to the team and stakeholders.


Qualifications:


Educational Background:

  • MSc or PhD in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on SLAM, computer vision, or machine learning.

Technical Skills:

  • Strong knowledge of SLAM algorithms (e.g., ORB-SLAM, DSO, Visual-Inertial SLAM) and their real-world applications.

  • Proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras) and experience applying them to perception and localization tasks.
  • Experience with sensor fusion techniques for integrating data from LiDAR, cameras, IMUs, etc.
  • Familiarity with 3D reconstruction, point cloud processing, and structure-from-motion (SfM).
  • Expertise in programming languages such as Python, C++, or ROS for algorithm development and integration.


Experience:

  • 3+ years of experience working with SLAM and/or deep learning in robotics or computer vision applications.

  • Hands-on experience with autonomous systems, mobile robots, or drone navigation.
  • Strong problem-solving skills and the ability to develop innovative solutions to challenging technical problems.


Desirable:

  • Experience with reinforcement learning or optimization techniques for improving SLAM robustness.

  • Familiarity with ROS (Robot Operating System) and tools for robot simulation and visualization (e.g., Gazebo, RViz).
  • Previous experience with deployment of SLAM systems in real-world applications.

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

RecommendedJobs for You