# Software Engineer – Localization and Mapping

**Company:** [Avride](https://hotfix.jobs/companies/avride)
**Location:** Austin, TX
**Role:** Embedded Engineering
**Experience:** 3+ years
**Skills:** C++, Lidar, Imu, Gnss, Ekf, Slam, Graph Optimization, Icp, Point Cloud Processing, Sensor Fusion
**Posted:** 2026-04-10

> Develops on-board localization and cloud mapping algorithms for autonomous rovers, achieving centimeter-level precision using sensor fusion (LiDAR, IMU, GNSS). Requires 3+ years C++ experience, strong algorithms knowledge, and robotics familiarity.

## Job Description

## What You'll Do

- Develop the cloud mapping subsystem with graph optimization at its core.
- Develop the Sensor Fusion Localization subsystem, which combines the measurements of multiple sensors (LiDAR, IMU, GNSS, etc.) to calculate rover position to centimeter precision and orientation to 0.1-degree precision.
- Support sister development and operation teams on issues related to localization.

## What You'll Need

- 3+ years of professional software engineering experience
- Strong **C++** programming skills
- Solid understanding of algorithms, data structures, and software design patterns
- Solid soft skills — intra- and inter-team collaboration, business-driven development focus, planning and getting-things-done, effective and respectful communication

## Nice to Have

- Experience in robotics. Good knowledge of **EKF**, localization, calibration, and point cloud processing algorithms is welcome.
- Strong mathematical knowledge and skills, especially in optimization, probability theory, and mechanics. Ability to turn ideas into formulas and formulas into algorithms.
- Relevant publications or achievements in hackathons / programming contests
- Eagerness to track recent advancements in the field and implement the best ideas to keep algorithms' performance state-of-the-art and beyond

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