About the Role
The engineer will contribute to the full lifecycle of autonomy software, from research and prototyping to deployment and scaling in real-world conditions.
Responsibilities
- Design and implement algorithms for robot perception in dynamic environments
- Develop motion planning systems for navigating complex urban settings
- Optimize control strategies for reliable robot operation on public sidewalks
- Integrate sensor data from cameras, lidar, and other modalities
- Test and validate autonomy software in simulation and real-world conditions
- Improve system robustness to weather, lighting, and infrastructure variations
- Collaborate with hardware teams to ensure software-hardware alignment
- Diagnose and resolve field issues with deployed robotic fleets
- Contribute to safety-critical software development practices
- Support over-the-air updates for continuous system improvement
- Work with mapping and localization systems for precise navigation
- Enhance obstacle detection and avoidance capabilities
- Evaluate performance metrics for autonomy subsystems
- Refine behavior logic for interactions with pedestrians and vehicles
- Participate in code reviews and software quality assurance
- Document technical designs and system changes
- Support incident response and root cause analysis
- Assist in scaling autonomy solutions across growing robot fleets
- Stay current with advancements in robotics and autonomous systems
- Contribute to agile development workflows
- Ensure compliance with safety and regulatory standards
- Optimize computational efficiency on embedded platforms
- Collaborate with operations teams to understand real-world challenges
- Prototype new autonomy features for field testing
- Improve system recovery from unexpected situations
Nice to Have
- Master’s or PhD in robotics or related technical discipline
- Industry experience with autonomous ground vehicles
- Contributions to open-source robotics projects
- Experience with lidar and camera calibration
- Background in reinforcement learning for control
- Knowledge of ISO 21434 or other safety standards
- Experience with fleet-level data analysis
- Familiarity with edge computing in robotics
- Published work in robotics conferences or journals
- Experience in last-mile delivery or logistics robotics
Compensation
Competitive salary with equity and benefits
Work Arrangement
Hybrid work model with office and remote flexibility
Team
Cross-functional team focused on autonomous delivery robotics
Our Mission
We are building autonomous robots that deliver goods in cities, reducing emissions and improving urban logistics efficiency through innovative robotics solutions.
What We Value
Technical excellence, ownership, collaboration, rapid iteration, and real-world impact are central to how we develop and deploy our robotic systems.
Available for qualified candidates
