Founded in 2015, Acubed is the Silicon Valley innovation center of Airbus. As a global leader in aerospace, Airbus aims to make things fly. Our mission is to provide a lens into the future for the industry, transforming risk into opportunity to build the future of flight now.

At Acubed, we strive to propel innovation to market faster, broaden the talent pool in emerging aerospace careers and simultaneously help drive a culture change across Airbus.

WAYFINDER

Our Wayfinder team is building scalable, certifiable autonomy systems to power the next generation of commercial aircraft. Our team of experts is driving the maturation of machine learning and other core technologies for autonomous flight; we are creating a reference architecture that includes hardware, software, and a data-driven development process to allow aircraft to perceive and react to their environment. Autonomous flight is transforming the transportation industry, and our team is at the heart of this revolution.

The Opportunity/Role Description

As Staff Data Engineer, you will be the chief architect of the data platform that underpins the future of autonomous flight. You will own the technical vision for evolving and improving our data pipelines and infrastructure, designing systems to support the next generation of certifiable, AI-powered aviation.

This is a deeply technical, hands-on leadership role. You will work side-by-side with senior members of our data and ML teams to deliver world-class data operations. In this dynamic and agile environment, you will be instrumental in delivering a continuous flow of data for new ML-based applications, all while strategically evolving our data processes and systems for long-term scalability and reliability.

Responsibilities

Lead architectural evolution of our core data platform, providing technical leadership for large-scale data ingestion, processing, and curation systems.
Partner with global cross-functional Airbus teams and stakeholder (ML, Labeling, Flight Lab, Simulation) to understand data needs and deliver robust, end-to-end solutions.
Define and advance data labeling strategy, developing pipelines for efficient auto-labeling, data mining, and robust Human-in-the-Loop (HITL) quality assurance.
Champion data quality by identifying and resolving gaps in data coverage and label integrity, 'closing the loop' from model deployment to data refinement to enhance model performance.
Develop actionable metrics and dashboards for continuous monitoring and improvement of data quality and availability.
Mentor engineers and scientists to elevate the team's technical bar, leading by example through code contributions, design reviews, and establishing engineering best practices.

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field or equivalent practical experience.
10+ years of professional experience in data engineering or software engineering, with a significant focus on building and scaling data systems for Machine Learning applications.
Expert-level proficiency in Python and hands-on experience with modern data orchestration frameworks, preferably Dagster.
Demonstrated expertise in architecting and optimizing large-scale data pipelines for diverse Computer Vision and ML use cases.
Deep, practical experience with various database technologies, with specific expertise in relational (PostgreSQL) and OLAP (ClickHouse) systems being highly valuable.
Proven track record of developing and implementing data quality frameworks and metrics to enhance existing data flows.

Bonus points

Experience working with large-scale sensor data (e.g., images, video, LiDAR).
Strong understanding of vector databases for semantic search and data mining.
Experience in safety-critical development (e.g., aviation, automotive, medical).
A genuine interest in aviation and autonomous systems.

Compensation:

The estimated salary range for this position is $194,008 to $249,082 annually. Enjoy comprehensive benefits: health insurance, paid time off, holidays, 401(k), Flexible Spending Account, Health Savings Account, Airbus Employee Share Ownership Plan, flight training, and more.

Experience flexibility with our hybrid work model, which includes three days in the office to foster collaboration and innovation while allowing for remote work options. Additionally, employees can work remotely—inside or outside the U.S.—for up to 31 days per year.

Why Join Us?

Be a part of a dynamic team that values creativity, collaboration, innovation and problem solving. At Acubed, your contributions will directly impact our digital future. We welcome diverse perspectives and are committed to fostering an inclusive environment.

Acubed is committed to creating a fair and equitable workplace for all. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities.

Acubed Requirements

* Please Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.

All job offers at Acubed are contingent upon the candidate passing references, background and export control checks.

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