We are seeking a Robotics Autonomy Engineer to work on cutting-edge intelligence and autonomy features for our Dronut UAV platforms. Responsibilities include the development, integration, testing, and deployment of advanced AI and autonomy algorithms enabling navigation in GPS-denied environments. You will use sensors like 3D LiDAR, IMU, and cameras for pose estimation and create path planning subroutines to accomplish tasks. This role involves owning the autonomy stack, optimizing real-time performance on edge hardware, and taking research to product capability.

Responsibilities

Own and advance Cleo’s autonomy stack across localization, mapping, state estimation, sensor fusion, path planning, obstacle avoidance, and mission execution
Work across autonomy, perception, sensors, flight controls, and vehicle dynamics to solve system-level problems and optimize real-time performance
Develop and harden visual-inertial and LiDAR-based SLAM, multi-sensor fusion, sensor calibration, relocalization, drift management, and map persistence
Develop perception and reactive autonomy for obstacle detection, free-space understanding, dynamic replanning, and safe navigation through changing and unpredictable environments
Build autonomous behaviors including path following, mission execution, data collection, health monitoring, fault detection, redundancy, graceful degradation, recovery, and safe return behaviors
Take cutting-edge robotics research and turn it into reliable product capability on compute-constrained edge hardware
Optimize the full stack for onboard compute: profile and tune C/C++ for real-time performance within strict latency, memory, compute, power, and thermal budgets on embedded edge hardware
Build and improve simulation, log replay, automated testing, regression benchmarks, telemetry, CI/CD, deployment, and fleet diagnostics to support reliable autonomy across a growing fleet and multiple hardware configurations
Own real-world autonomy performance through bench and field testing, flight-log analysis, root-cause debugging, and rapid product iteration
Help define Cleo’s autonomy architecture and roadmap while operating with significant independence and ownership

Requirements

Bachelor’s degree in Robotics, Computer Science, Computer Engineering, or a related field
3–5 years of professional experience developing autonomy, localization, state estimation, navigation, and/or flight software for robots, UAVs, autonomous vehicles, or similarly complex physical systems or equivalent demonstrated technical depth
Proven experience deploying autonomy software on real robotic systems in the field, not just simulations or research prototypes
Strong hands-on experience with visual odometry, VIO, 3D mapping, sensor fusion, and SLAM, including EKF-based estimation, calibration, and time synchronization.
Practical experience with perception, obstacle detection, motion and path planning, trajectory generation or optimization, and map representations such as occupancy grids, octrees, etc
Strong software engineering fundamentals with deep proficiency in C++ and C, and a strong proficiency in Python. Experience with flight control software or embedded systems is highly valuable
Able to take ideas from cutting-edge robotics research and turn them into robust capabilities on compute-constrained edge hardware, with experience on embedded Linux and SoCs such as Qualcomm Snapdragon or NVIDIA Jetson, including profiling and optimization using GPU, or DSP acceleration to meet real-time performance, latency, memory, power, and compute constraints
Uses AI tools as a core part of their daily engineering workflow to accelerate development, debugging, testing, data analysis, research, and evaluation of new approaches while maintaining strong technical judgment and ownership
Strong ownership mentality and ability to work independently, taking ambiguous technical problems from definition through implementation, testing, and deployment with limited supervision
Experience with ROS2, Linux, Git, Docker, and modern software practices. Experience with deployed fleets, including telemetry, fleet diagnostics, hardware compatibility, and long-term maintainability, is a strong plus
Communicates technical concepts, risks, and tradeoffs clearly; collaborates effectively across teams; and gives and receives technical feedback constructively.

Nice to have

Master's degree in Robotics, Autonomous Systems, Controls, or Computer Vision is a plus
Experience with UAV flight stacks and multirotor control — PX4, ArduPilot, MAVLink, offboard control, attitude and position control loops
Simulation and SIL/HIL experience with Gazebo, Isaac Sim, AirSim, or comparable, including closing the sim-to-real gap
Experience mentoring engineers or leading a small technical team

Benefits

The opportunity to build autonomy that moves beyond simulation and operates on real robots in challenging, mission-critical environments
Meaningful ownership of a core product capability, with the ability to influence Cleo’s autonomy architecture, technical direction, and roadmap
A high-impact role on a small, talented team where your ideas can move rapidly from development to real-world deployment
The opportunity to expand your technical scope, take on greater ownership, and grow alongside the company
Competitive compensation and a comprehensive benefits package, including health, dental, and vision insurance
Equity for every new hire, giving everyone the opportunity to share in Cleo’s growth
Flexible paid time off and company holidays
A collaborative, energetic workplace with a fully stocked kitchen and regular team gatherings