Robotics Software Engineer — Pose Estimation & SLAM

Agtonomy

South San Francisco (CA)

On-site

USD 170,000 - 240,000

Full time

14 days+

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Benefits offered by this job

100% covered medical, dental, and vision for employee
Commuter Benefits
Flexible Spending Account (FSA)
Life Insurance
401k Plan
Stock Options
Collaborative work environment

Job summary

Agtonomy in South San Francisco is hiring for a role focusing on the development of state estimation algorithms for autonomous vehicles. Ideal candidates should have strong C++ skills and a deep understanding of sensor technology integration. Responsibilities include implementing features for pose estimation, researching algorithms, and validating solutions in real-world scenarios. This full-time position offers a salary range of $170,000 to $240,000, equity options, and comprehensive benefits.

Qualifications

  • 5+ years of software development experience in autonomy, robotics, or a related field.
  • Strong proficiency in modern C++ and efficient algorithms for resource-constrained systems.
  • Experience with various sensing technologies: cameras, LiDAR, RADAR, GNSS, etc.

Responsibilities

  • Implement new features to improve pose estimates stability.
  • Design fallback strategies for pose estimation.
  • Research and prototype state estimation algorithms.
  • Develop scalable and fast optimization libraries.
  • Write well-tested software and improve code quality.

Skills

State estimation algorithms
Kalman filters
C++
Sensor fusion
Robotics

Education

MS or PhD in robotics, computer science, computer engineering, or electrical engineering

Tools

Eigen
Sophus
Ceres
GTSAM

Job description

Agtonomy in South San Francisco is hiring for a role focusing on the development of state estimation algorithms for autonomous vehicles. Ideal candidates should have strong C++ skills and a deep understanding of sensor technology integration. Responsibilities include implementing features for pose estimation, researching algorithms, and validating solutions in real-world scenarios. This full-time position offers a salary range of $170,000 to $240,000, equity options, and comprehensive benefits.
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