About Us

Moonware is a venture-backed startup enabling next generation air travel with automated and sustainable airfields. We’re building an integrated ecosystem of AI software and smart vehicles that efficiently connect ground crew, aircraft, and ground support equipment to efficiently service flights. 

Our long-term vision is to handle aircraft autonomously from touchdown to takeoff, providing seamless aircraft turnarounds for a streamlined airport experience.

Moonware was founded with the belief that multimodal air transportation will become the prime mover of people and goods during the 21st century. From eVTOLs that will ferry passengers between cities and suburban areas, to supersonic aircraft shaving travel time between continents, we are ushering in a new air and space age that will further globalize humanity.

Airports and the hubs uniting these modes of transport will need to evolve to meet this new modern demand for air travel. In spite of the current advancements in aircraft technology, the infrastructure and ground processes that will enable these new aerial ecosystems to happen are largely outdated.

We are builders hailing from Tesla, Waymo, NASA, Google, Uber and Corvette, leveraging years of product development experience in aerospace, automotive, and robotics to revolutionize the airfields of tomorrow.

Software Team

Moonware’s software team is building HALO, the OS for aviation ground handling operations.

HALO is an AI-powered Ground Traffic Control platform designed to streamline aircraft turnaround management, seamlessly coordinating ramp crew and ground support equipment (GSE) to service flights on time. HALO’s core optimizer fuses flight information, GSE locations and crew tasks to create optimal service missions. Position trackers, instrumented on GSE, provide vehicle location information that is used to define app-specific features. 

Crew & GSE are scheduled & dispatched through the mobile app to service aircraft according to real-time flight schedule changes, with a smart routing feature that navigates ground crew drivers to their destination on the airfield, saving time. 

Real-time task allocation and dynamic vehicle routing are examples of features that take place in the cloud, effectively replacing the current use of radio and paper. These time-sensitive operations are migrated over to digital infrastructures that can process the large datasets necessary for task & equipment allocation along with their inherent complexities.

This approach enables us to collect large amounts of data that is virtually absent on ground vehicle whereabouts and movements, interactions between ground handling agents, and service time punctuality. Furthermore, by collecting ground data from different airport hubs, we can build robust machine learning models that take into account airfield traffic patterns and airport-specific constraints. We can then use this data to inform where the greatest bottlenecks in ground operations are occurring and how these processes can be augmented by ‘last-mile’ ramp services with autonomous GSE. This is what we call laying the bridge to airfield autonomy.

About the Role

We are seeking a talented Senior Data Engineer to play a pivotal role in our data-driven journey. As a Senior Data Engineer, you will be instrumental in designing, building and maintaining our data infrastructure. You’ll work closely with cross functional teams to gather and process large datasets, enabling informed decision-making and insights that drive our innovative solutions forward. 

Responsibilities:

  • Design, develop, and maintain scalable data pipelines and TL processes to gather, process and transform data from various sources. 
  • Collaborate with software engineers and other team members to ensure data accuracy, availability, and quality. 
  • Optimize data architecture for performance, scalability, and security. 
  • Implement data warehousing solutions and manage data storage, retrieval, and access. 
  • Develop and maintain data model, schemas, and documentation for data assets. 
  • Stay current with emerging data engineering technologies and best practices.

Requirements:

  • 3+ years of experience in data engineering or related roles. 
  • Proficiency in data modeling, ETL processes, and data warehousing.
  • Strong programming skills in languages such as Python, Java, or Scala. 
  • Experience with big data technologies like Hadoop, Spark, or similar frameworks. 
  • Proficiency in SQL and working with relational databases. 
  • Familiarity with NoSQL databases and cloud-based data solutions (e.g., AWS, Azure, GCP).
  • Knowledge of data security, privacy, and compliance best practices. 
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.

This Role Might Be For You if:

  • You are passionate about leveraging data to drive innovation and solve complex challenges. 
  • You can thrive in a dynamic startup environment.
  • Collaborating with cross-functional teams to achieve ambitious goals excites you. You are eager to work on groundbreaking projects that redefine the aviation industry. 
  • You have a natural curiosity and stay updated on the latest data engineering trends. 
  • You are willing to relocate to Los Angeles

Nice to haves:

  • Experience in the aerospace, aviation, or transportation industries.
  • Knowledge of data streaming technologies (e.g. Kafka, Kinesis).
  • Familiarity with machine learning and data science concepts. 
  • Previous startup experience.