
State Estimation, Mapping Engineer
BlueSpace.ai
full-time
Posted on:
Location Type: Hybrid
Location: Oakland • California • United 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