Autonomy Engineer Intern, Simulation & Robotics, 2027 (HQ)
SkydioSan Mateo, CAposted 7h ago
- PayUSD / yr
- $98k+
- Where
- San Mateo, CA
- Posted
- Oct 26
- 7 hours ago
- Type
- Internship
- Setup
- On-site
At a glance
Build the C++ and Python simulation systems behind Skydio’s autonomous drones, modeling physics, sensors, and real-time behavior to advance testing and autonomy capabilities.
Summarized by AI from the original posting
What you'll do
- Design, implement, and evolve the core simulator architecture
- Improve physics and dynamics models
- Build high-fidelity simulations of cameras, IMUs, and other onboard components
- Run and validate the full autonomy stack in simulation
- Develop simulator capabilities for training and testing workflows
- Profile and optimize simulator performance and fidelity
- Develop core simulator components in C++ and Python
- Collaborate with autonomy, perception, and controls engineers
- Debug interactions between physics, sensors, autonomy logic, and rendering
Requirements
- 01Strong software engineering experience with C++ and Python
- 02Experience building complex systems where performance, determinism, or correctness matter
- 03Comfort reasoning about time-synchronized systems, state machines, or real-time execution
- 04Ability to work in a large, evolving codebase with multiple stakeholders
- 05Interest in robotics, simulation, or physical systems
Perks
Skills
Full description
Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.
About the Role:
The core of our system is the computer vision algorithms that allow drones to understand the world around them. You will architect and implement the algorithms that run on every drone powered by Skydio as part of a world class computer vision and deep learning team with researchers who have pushed the state of the art in academia and industry.
As a Research Intern, you will be paired up with one or more members of our core software development team, assuming direct ownership of a project that meaningfully advances the capabilities of our team and products.
If you have a strong foundation in math, theory, and software development and you are interested in directly contributing to the development of the next generation of autonomy algorithms and pushing them into real products, we would love to hear from you.
Areas of Responsibility:
Core Simulator Architecture: Design, implement, and evolve the foundational architecture of the Skydio Simulator, ensuring it scales across vehicle types, environments, and use cases.
Physics and Dynamics: Improve and extend physics models governing vehicle motion, interactions with the environment, and dynamic agents.
Sensor and Hardware Simulation: Build high-fidelity simulations of cameras, IMUs, and other onboard components, including timing, noise characteristics, and hardware behavior.
Autonomy Stack Integration: Run and validate the full Skydio autonomy stack in simulation, ensuring consistency between simulated and real-world behavior.
Feature Development on Top of the Core: Implement simulator capabilities that unlock new workflows for customers and internal autonomy engineers, from training scenarios to advanced testing modes.
Performance and Fidelity: Profile, optimize, and improve simulator performance while continuously pushing realism and accuracy.
What You’ll Do:
Develop core simulator components in C++ and Python, working close to real-time constraints.
Collaborate with autonomy, perception, and controls engineers to align simulation behavior with real-world systems.
Debug complex interactions between physics, sensors, autonomy logic, and rendering.
Help shape the long-term technical direction of the simulator as both a product and an internal platform.
Contribute to documentation and shared understanding of how the simulator works internally.
Qualifications:
Strong software engineering experience with C++ and Python.
Experience building complex systems where performance, determinism, or correctness matter.
Comfort reasoning about time-synchronized systems, state machines, or real-time execution.
Ability to work in a large, evolving codebase with multiple stakeholders.
Interest in robotics, simulation, or physical systems (prior robotics experience is a plus, not a requirement).
Bonus Experience:
Robotics, simulation, game engines, or real-time systems.
Physics engines, sensor modeling, or hardware abstraction layers.
Multithreaded or low-latency system design.
Experience debugging systems that span software and physical behavior.
Compensation: The hourly rate for this position is $47/hr for Undergrad, $53/hr for Masters, and $70/hr for PhD students*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends.
*Compensation for certain positions may vary based on the position's location.
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At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/