Senior Autonomy Engineer, Data Curation

About the Role

As a Senior Engineer on the Autonomy Data Curation team, you’ll help build a data flywheel. You’ll collect the data that matters most from internal and external fleets of drones and turn it into high-quality, model-ready datasets that Autonomy teams can consume quickly and confidently for training and model development. Close peers will include the Deep Learning and Computer Vision teams.

This role is an individual contributor who will report to the Director of Autonomy Data Curation.

How you'll make an impact

• Build and operate pipelines that transform raw autonomy logs & media into curated datasets with strong observability and clear ownership to make curated data more broadly reusable.
• Build tooling that makes data discovery and slicing fast and self-serve for Autonomy teams. For example: media search tooling and hard mining loops with infra for auto-routing data to annotation.
• Improve dataset quality and repeatability: versioning, provenance, and automated checks.
• Apply privacy and security requirements throughout our processes (access controls, retention, redaction/anonymization).
• Build with a data-driven and impact-forward mindset with dashboards highlighting cost, dataset balance, and audit details.

What makes you a good fit

• 5+ years of professional software engineering experience (or equivalent), with significant ownership of production systems.
• Strong proficiency in programming, demonstrable in at least one of our most frequently used languages (Python/C++).
• Hands-on experience building data pipelines for large-scale datasets (ETL/ELT, streaming or batch, orchestration).
• Experience with data modeling, schema evolution, and dataset/version management.
• Solid understanding of reliability engineering: monitoring, incident response, backfills, and operational rigor.
• Ability to work across ambiguous interfaces (data + tooling + model consumers) and drive decisions.
• Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions.

Nice to have

• Experience with autonomy/robotics data: flight logs, self-driving car data, sensor fusion traces, video, geospatial metadata.
• Experience with labeling workflows, annotation tooling, and labeling QA at scale.
• Familiarity with privacy concepts (PII handling, redaction, access control, audit logs).
• Experience with vector/semantic search over media or telemetry.
• Experience building hard-mining evaluation loops for ML models.

Compensation

At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000 - $240,000*.

Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans.

Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria.

*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.