Hybrid State Estimation, Mapping Engineer

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About the role

  • State Estimation/Mapping Engineer developing algorithms and software for autonomous vehicles. Collaborating with an expert team to implement real-world robotic systems in a fast-paced environment.

Responsibilities

  • Develop, deploy, and scale both online and offline state-estimation algorithms for real-world robotic systems.
  • Build software, tools, and processes that accelerate your rate of experimentation, monitor performance, and inform you what to try next.
  • Work with large quantities of sensor data on challenging real-world problems.
  • Collaborate with the team to deploy your work in a mission-critical environment.

Requirements

  • 5+ Years of industry experience and a Master's/Ph.D. Degree in Computer Science, Mechanical Engineering, Electrical Engineering, or equivalent.
  • Deep knowledge about various state estimation techniques, including but not limited to Kalman Filter and its variations, particle filter, SLAM, dead-reckoning, and Odometry.
  • Strong analytical skills in linear algebra, geometry, and probability
  • Strong C++ software development skills.
  • Experience developing software under strong real-time performance requirements.
  • Strong team player, comfortable working in a vibrant, diverse, and interdisciplinary team.

Job title

State Estimation, Mapping Engineer

Job type

Experience level

Mid levelSenior

Salary

$150,000 - $200,000 per year

Degree requirement

Postgraduate Degree

Location requirements

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