Senior Software Engineer, Autonomy

About Ditto

Ditto is redefining how data moves at the edge. Our mission is to make it seamless for developers to build resilient, real‑time applications, regardless of network conditions. Whether you’re in a stadium, airplane, or remote military base, Ditto’s peer‑to‑peer sync engine ensures devices stay connected and data stays consistent, even without internet.

With more than $145 million in funding and trusted by organizations like Chick‑fil‑A, Delta Airlines, and the U.S. military, Ditto powers mission‑critical experiences across aviation, retail, travel, hospitality, defense, and more. As a globally distributed, fast‑growing startup, we’re committed to building a diverse and inclusive team that reflects the wide range of perspectives needed to solve the world’s hardest connectivity problems.

As a Forward Deployed Engineer (FDE), you are the technical tip of the spear. FDEs are elite, versatile engineers who work shoulder‑to‑shoulder with our most critical users to solve complex challenges in real time. Your primary mission is to radically decrease the time‑to‑value of our software by integrating it directly into the user’s operational environment.

You will also act as a crucial conduit, feeding technical insights and feature requirements back to our core product engineering team. This role requires a highly adaptable problem‑solver who is comfortable moving fast, navigating ambiguity, and figuring things out quickly in high‑stakes environments.

• Integrate with Robotic Platforms:
  Lead the on‑site software integration of our platform with unmanned ground, aerial, and maritime systems, building reliable data bridges between our synchronization layer and robotic autonomy stacks.
• Develop on ROS2 and DDS Middleware:
  Architect, build, and troubleshoot software nodes within ROS2 frameworks, leveraging DDS (Data Distribution Service) for real‑time, publish‑subscribe communication between robotic subsystems and our core platform.
• Implement MAVLink Integrations:
  Build and optimize MAVLink‑based communication pipelines for telemetry, command, and control of unmanned aerial systems (UAS), ensuring reliable data exchange between our platform and autopilot firmware.
• Solve Problems in Real‑Time:
  Act as the first line of technical defense, rapidly diagnosing and resolving software, sensor, and communication issues on robotic platforms as they arise during field testing and live operations.
• Bridge the Gap:
  Translate the unique realities of robotic systems integration—sensor noise, real‑time constraints, autonomy edge cases—into actionable technical requirements for the core product development team.

• Must hold an active Secret clearance (U.S. citizenship is strictly required for this role).
• 5+ years of experience in robotics software engineering, autonomous systems development, or related fields, including hands‑on experience developing, integrating, and testing software on physical robotic platforms.
• 2+ years of technical experience working with ROS2, including node development, lifecycle management, launch files, and real‑time communication via DDS middleware.
• Prior experience with MAVLink protocol for UAS telemetry and command/control, including integration with autopilot systems (e.g., PX4, Ardu Pilot) and ground control stations.
• Familiarity with motion planning concepts and algorithms, including path planning, trajectory optimization, and obstacle avoidance.
• A highly adaptable, problem‑solving mindset, able to navigate ambiguity, move fast, and balance immediate operational fixes with long‑term technical fidelity.
• Strong communication skills, both written and verbal, and the ability to translate complex, edge‑case technical realities and user workflows into clear, actionable requirements for product engineers.

• Experience with sensor fusion and perception pipelines (SLAM) and integration of LiDAR, IMU, GPS, and camera data.
• Familiarity with simulation environments (Gazebo, Air Sim, CARLA).
• Prior experience with CRDTs or local‑first software architectures.
• Background in systems programming (C++, Rust, or Python) for performance‑critical embedded code.
• Di…