Robotic Software Engineer; Perception

Position: Robotic Software Engineer (Perception)
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Job Type

Full-time

Description

We are a robotics company building autonomous systems that operate in complex, dynamic environments. Our perception stack enables our robots to understand, localize, and navigate the world in real time, and we place a strong emphasis on robustness, performance, and maintainable engineering.

We are seeking a Perception Engineer to design and implement SLAM, state estimation, and computer vision algorithms for real-world robotic systems. You will work closely with robotics, controls, and systems engineers to bring perception algorithms from research into reliable, production-ready software.

This role is ideal for someone who enjoys bridging the gap between theory and deployment-turning academic algorithms into efficient, well-engineered systems.

Responsibilities

* Design and implement SLAM and localization systems (visual, visual-inertial, lidar, or multi-sensor)

* Develop and integrate computer vision pipelines for perception tasks such as feature extraction, tracking, mapping, and scene understanding

* Implement and optimize estimation algorithms (e.g., filtering, optimization-based methods)

* Fuse data from multiple sensors (cameras, IMUs, lidars, depth sensors)

* Evaluate perception system performance using real-world data and metrics

* Optimize algorithms for real-time performance and robustness

* Collaborate with controls and planning teams to support downstream autonomy

* Maintain clean, well-tested, production-quality code

* Contribute to tooling, datasets, and evaluation frameworks

Requirements

Required Qualifications

* Strong background in robotics perception or computer vision

* Experience implementing SLAM or localization systems in practice

* Solid understanding of:

* 3D geometry and coordinate transformations

* Camera models and calibration

* Feature-based and/or direct visual methods

* Probabilistic state estimation

* Proficiency in C++ and/or Python

* Experience working in Linux environments

* Familiarity with robotics software stacks (e.g., ROS / ROS
2)

* Strong debugging and data analysis skills

Preferred Qualifications

* Experience with specific SLAM frameworks (e.g., ORB-SLAM, VINS, Cartographer, GTSAM)

* Experience with lidar-based perception and mapping

* Familiarity with deep learning-based perception models

* Experience deploying perception systems on real robots

* Knowledge of GPU acceleration (CUDA, OpenCL)

* Experience with dataset curation and annotation

* Publications or research background in robotics or computer vision