Autonomy Tools Engineer: Dev Platforms & Visualization

Booster; San Mateo (CA); On-site; USD 170,000 - 240,000; Full time

Job summary

Skydio is seeking an experienced software engineer to lead the development of tools that support every stage of the autonomy lifecycle, including core internal platforms for testing ideas, diagnosing system behaviors, and understanding complex software-physical interactions.

This role blends backend systems work with frontend visualization, demanding strong software design and developer experience to empower autonomy engineers and QA with reliable tooling and rapid iteration.

Qualifications

• 3+ years of professional experience in software engineering, ideally in robotics, simulation, or systems development.
• Proficiency in C++ and Python, with a strong grasp of performance-sensitive and multi-threaded systems.
• Experience with simulation frameworks, time-synchronised data systems, or state-machine-driven applications.
• Familiarity with structured data visualization, log processing, or developer tooling design.
• Strong communication skills and the ability to partner effectively with cross-functional teams.
• Comfort operating in a fast-paced environment where requirements evolve and priorities shift.

Responsibilities

• Lead the design and implementation of scalable tools used across autonomy development and testing workflows.
• Collaborate with autonomy, QA, and infrastructure teams to gather requirements, align on priorities, and deliver impactful tooling.
• Build tools that streamline stages of the robotics development process
• Take ownership of internal services from concept through deployment and monitoring
• Contribute to the long‑term vision and roadmap for developer tools that improve debugging efficiency, test coverage, and system understanding.

Skills

C++

Python

Robotics

Simulation

Multithreading

Developer tooling

Tools

ROS

React

Three.js

Plotly

Job description

Skydio is seeking an experienced software engineer to lead the development of tools that support every stage of the autonomy lifecycle, including core internal platforms for testing ideas, diagnosing system behaviors, and understanding complex software-physical interactions.

This role blends backend systems work with frontend visualization, demanding strong software design and developer experience to empower autonomy engineers and QA with reliable tooling and rapid iteration.