Senior Autonomy Software Engineer — Robotics Impact

Lever, Inc.; San Jose, Northern (CA, KY); Hybrid; USD 120,000 - 200,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Relay Robotics seeks an autonomy software generalist to span perception, localization, mapping, and planning, collaborating with hardware, firmware, applications, and operations teams. The role emphasizes end-to-end problem solving from algorithms to fleet-scale deployment in a fast-moving robotics and AI environment.

You will contribute to a broad stack, design and tune path planning, develop perception and SLAM systems, and help scale deployments across multiple customers while maintaining

Qualifications

• Masters degree in robotics, CS, or related field or equivalent experience.
• 4+ years developing production robotics or autonomy software.
• Strong ROS, C++, and Python in Linux environments.
• Hands-on with perception, planning, SLAM, or localization.
• Experience deploying deep learning models and sensor data.

Responsibilities

• Design, implement, tune, and improve path and motion planning for robust robot motion.
• Develop perception algorithms using deep learning and classical CV.
• Implement SLAM, localization, and mapping with modern ML enhancements.
• Select and evaluate lidar, camera, and ToF sensors balancing cost and performance.
• Maintain calibration routines for sensors and fleet data pipelines.
• Shape autonomy roadmap by identifying gaps and proposing milestones.
• Build tools and metrics to test, evaluate, and improve fleet performance.
• Uphold software engineering practices: Git, code reviews, CI/CD, deploy pipelines.

Skills

ROS

C++

Python

Linux

Sensor fusion

Education

Master's degree in Robotics, Computer Science, or related field

Tools

Git

CI/CD

SLAM

Job description

Relay Robotics seeks an autonomy software generalist to span perception, localization, mapping, and planning, collaborating with hardware, firmware, applications, and operations teams. The role emphasizes end-to-end problem solving from algorithms to fleet-scale deployment in a fast-moving robotics and AI environment.

You will contribute to a broad stack, design and tune path planning, develop perception and SLAM systems, and help scale deployments across multiple customers while maintaining