Lead Robotics Engineer for SLAM Navigation

2 days ago

Pune, Maharashtra, India beBeeAutonomous Full time ₹ 15,00,000 - ₹ 20,00,000
Technical Expert for Autonomous SLAM Development

The successful candidate will play a key role in advancing our cutting-edge autonomous solutions by leading the design and development of SLAM-based navigation systems for robotic platforms. This position requires expertise in various SLAM techniques, such as visual SLAM, LiDAR SLAM, and graph-based SLAM.

A bachelor's or master's degree in Computer Science, Robotics, or a related field is required, along with 3-7 years of demonstrated experience in SLAM research and development. Proficiency in programming languages commonly used in SLAM, such as C++ and Python, is also essential.

Solid understanding of computer vision, sensor fusion, probabilistic robotics, and optimization algorithms is necessary. The ideal candidate will have prior experience working with autonomous systems and robotics, as well as strong mathematical and analytical skills to apply advanced mathematical concepts to solve SLAM challenges.

  • Key Responsibilities:
  • - 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 to integrate SLAM solutions into various projects.
  • - Provide technical guidance and support to team members working on SLAM-related projects.
  • Requirements:
  • - Bachelor's or master's degree in Computer Science, Robotics, or a related field.
  • - 3-7 years of demonstrated experience in SLAM research and development.
  • - Expertise in various SLAM techniques, such as visual SLAM, LiDAR SLAM, and graph-based SLAM.
  • - 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.
  • - 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.

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