Software Engineer, Analytics

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

Successful AI/ML depends on having the right data, and deeply understanding the data you have. As a Software Engineer, Analytics on the Wayfinder team, you will play a critical role in developing the analytical tools that enable us to curate the best possible training data sets and rigorously analyze the resulting models. You will collaborate with cross-functional teams of software engineers, AI/ML experts, data engineers, executive stakeholders, and system architects to develop and implement comprehensive analysis tools, ensuring the highest levels of trust and confidence in our AI solutions.

Responsibilities

• With the support of data engineers and senior analysts, help us to deeply characterize our training data, identifying the attributes that most impact model performance.
• Ensure that our dev and test data sets are equally representative of the operational domain.
• Conduct rigorous analysis and validation of ML/AI models to ensure reliability and performance in safety-critical environments.
• Develop and apply statistical techniques, error analysis, and model performance metrics to assess AI system behavior.
• Identify patterns, anomalies, and failure modes in AI models through data-driven analysis.
• Deliver insight, not just analysis.
• Collaborate with cross-functional teams to identify and implement the most important analysis.
• Design and implement testing strategies to assess generalization, robustness, and edge cases for AI/ML models.
• Utilize data visualization and reporting tools to communicate key insights.
• Stay current with the ever-evolving analysis tool ecosystem, especially as relates to use of AI to assist with both tool development and direct analysis.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 2+ years of experience in software development and analytics, with a focus on AI/ML systems.
• Strong foundation in algebra, geometry, and basic trigonometry.
• Strong skills with data presentation tools and libraries such as Grafana, plotly, Voxel51.
• Proficiency in Python and data analysis libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn).
• Knowledge of statistical testing, anomaly detection, and model validation techniques.
• Strong analytical mindset with the ability to interpret complex AI model outputs.
• Demonstrated active interest in use of AI for development.
• Strong problem-solving skills and a commitment to quality and safety.
• Demonstrated team player who values psychological safety, trust, humility, and a learning mindset.

Bonus points for:

• Experience with:
• Computer vision algorithms.
• Cloud platforms and distributed testing environments.
• ML/AI frameworks (TensorFlow, PyTorch, etc.) and testing methodologies for neural networks.
• Automation tools and CI/CD pipelines.
• AI/ML testing for regulated or safety-critical environments (aviation, automotive, healthcare, etc.).
• Looker, Tableau, Power BI.
• Understanding of data collection, augmentation, and synthetic data generation to improve ML development.

Compensation:

The estimated salary range for this position is $99,768 to $119,168 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.