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채용Skydio

Senior Autonomy Engineer - Data Curation

Skydio

Senior Autonomy Engineer - Data Curation

Skydio

San Mateo, California, United States

·

On-site

·

Full-time

·

1w ago

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:

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 in 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 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.

Nice To Haves:

  • 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.

Working Style:

  • Clarity foremost: written proposals, crisp interfaces, measurable outcomes.

  • Pragmatic designs: build what’s needed, buy/borrow when it saves time, be judicious.

  • Toolbelt-aware: use the right tools for the job, lean into finding ways to upskill yourself, and leverage generative AI coding and agentic workflows.

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.

For some positions the pay may be dependent upon the individual's regional location.

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/

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Skydio 소개

Skydio

Skydio

Series D

Skydio develops autonomous drones that use computer vision and AI for obstacle avoidance and navigation. The company creates drones for consumer, enterprise, and defense applications.

201-500

직원 수

San Mateo

본사 위치

$2.2B

기업 가치

리뷰

4.4

10개 리뷰

워라밸

3.2

보상

4.0

문화

4.3

커리어

3.8

경영진

4.2

78%

친구에게 추천

장점

Innovative and cutting-edge technology

Supportive and approachable management

Strong team collaboration and culture

단점

Fast-paced environment can be stressful

Demanding work hours and high pressure

Limited career advancement opportunities

연봉 정보

27개 데이터

Director

Director · DIRECTOR, DATA ANALYTICS

2개 리포트

$270,500

총 연봉

기본급

$235,000

주식

-

보너스

-

$270,500

$270,500

면접 경험

1개 면접

난이도

3.0

/ 5

소요 기간

14-28주

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Deep Learning/ML Theory