BlueSpace.ai

State Estimation, Mapping Engineer

BlueSpace.ai

full-time

Posted on:

Location Type: Hybrid

Location: OaklandCaliforniaUnited States

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Salary

💰 $150,000 - $200,000 per year

About the role

  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
state estimation algorithmsKalman Filterparticle filterSLAMdead-reckoningOdometryC++real-time performancelinear algebrageometry
Soft Skills
analytical skillsteam playercollaborationinterdisciplinary teamwork
Certifications
Master's DegreePh.D. Degree