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Autonomy Engineer - ML & DL Infrastructure

Job in San Mateo, San Mateo County, California, 94409, USA
Listing for: Skydio Inc.
Full Time position
Listed on 2026-06-05
Job specializations:
  • Engineering
    Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 170000 - 277500 USD Yearly USD 170000.00 277500.00 YEAR
Job Description & How to Apply Below

San Mateo, California, United States - Full-time

Skydio is the leading U.S. 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 and soldiers in battlefield scenarios, and beyond.

Role Overview

We are looking for a Deep Learning Infrastructure Engineer to build and scale the infrastructure that supports Skydio’s deep learning and AI training efforts. The engineer will collaborate closely with the autonomy and cloud teams to deliver new capabilities and empower AI/ML solutions.

Key Responsibilities
  • Design and implement scalable, extensible, interactive data pipelines and annotation workflows.
  • Build tools that leverage state‑of‑the‑art machine‑learning systems for efficient data exploration and curation across the fleet of Skydio drones.
  • Develop data ingestion, versioning, model training, deployment, and monitoring pipelines.
  • Optimize and scale deep learning training workflows to improve team iteration velocity.
  • Apply best practices to uphold and improve Skydio’s engineering standards.
Qualifications
  • Hands‑on experience with data engineering and building large‑scale, performant, and efficient data processing pipelines.
  • Hands‑on experience with cloud‑based ML platforms, containerization technologies, ML Ops platforms, and databases.
  • Understanding of security and compliance requirements in ML infrastructure.
  • Experience managing ML pipelines, including data preparation, model training, deployment, and monitoring.
  • Demonstrated ability to drive a concept through the software lifecycle: architecture, development, testing, deployment, and monitoring.
  • Comfortable navigating and delivering within a complex codebase.
  • Strong communication skills and the ability to collaborate effectively at all levels of technical depth.
  • Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions.
Compensation and Benefits

The annual base salary range for this position is $170,000 – $277,500*.

  • Competitive base salary.
  • Equity in the form of stock options.
  • Comprehensive benefits package, including paid vacation time, sick leave, holiday pay, and a 401(k) savings plan.
  • Relocation assistance may be provided for eligible roles.

* Compensation for certain positions may vary based on the position’s location.

Equal Employment Opportunity

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 any other characteristic 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.

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