Autonomy DevTools Engineer Intern

Perot Jain; San Mateo (CA); On-site; USD 65,000 - 96,000; Part time

Job summary

Skydio is seeking a Research Intern to join a world-class computer vision and deep learning team to architect and implement algorithms running on every Skydio drone. You will be paired with core software engineers on meaningful projects that advance autonomy capabilities.

If you have a strong foundation in math, theory, and software development and want to contribute to the next generation of autonomy algorithms, we would love to hear from you.

Qualifications

• Proficiency in C++ and Python with a focus on performance-sensitive systems.
• Experience with simulation frameworks, time-synchronized data systems, or state-machine-driven applications.
• Familiarity with structured data visualization, log processing, or developer tooling design.
• Strong communication skills and ability to collaborate with cross-functional teams.
• Comfort operating in a fast-paced environment where requirements evolve.

Responsibilities

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

Skills

C++

Python

Simulation frameworks

Time-synced data systems

State machines

Data visualization

Log processing

Developer tooling

Cross-functional comms

Fast-paced env

Job description

Skydio is seeking a Research Intern to join a world-class computer vision and deep learning team to architect and implement algorithms running on every Skydio drone. You will be paired with core software engineers on meaningful projects that advance autonomy capabilities.

If you have a strong foundation in math, theory, and software development and want to contribute to the next generation of autonomy algorithms, we would love to hear from you.