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Senior Robotics Engineer - SLAM

3 years

0 Lacs

Gurugram Haryana India

Posted:4 days ago| Platform: Linkedin logo

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Skills Required

robotics technology service cutting mobile development forklift algorithms collaborative agile design navigation localization mapping research software vision support analyze visual lidar filtering programming fusion optimization ros opencv gtsam communication teamwork

Work Mode

On-site

Job Type

Full Time

Job Description

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.
  • 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)

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