Top Data & Analytics Jobs

As an Analytics Engineer at Anduril Industries, you will collaborate with stakeholders to define and implement efficient data models, build ontologies across various domains, and create data-driven solutions that enhance decision-making processes. You will focus on modeling internal data into reusable entities and develop workflows and dashboards to drive business impact.

The Turbomachinery Analyst at Anduril Industries will be responsible for developing and optimizing advanced propulsion systems, conducting aerodynamic and thermodynamic analysis, and leading projects from conception through testing. The role requires a minimum of 5 years of experience in turbomachinery analysis and a Bachelor's degree in Mechanical or Aerospace Engineering.

The Senior Structural Analyst will conduct structural analysis for aerospace applications by leveraging first principles. Responsibilities include performing hand calculations, generating FEMs for flying vehicles, conducting aero-structural analyses, supporting structural certification efforts, and developing internal tools for communicating analysis results. The role also involves collaboration with cross-disciplinary teams and management of project scopes, reviewing structural tests, and assisting in talent acquisition.

As a Structural Analyst at Anduril Industries, you will perform structural calculations, collaborate with engineers to define loads, maintain FEM models for flying vehicles, conduct coupled aero-structural analyses, support structural certification efforts, and develop analysis tools. You will also present technical status, manage risk tracking, and contribute to lab infrastructure for testing.

As a Senior Machine Learning/MLOps Engineer, you will lead the development of machine learning models for autonomous systems, manage the machine learning lifecycle, and collaborate with cross-functional teams to ensure effective integration and testing of systems.

The Senior Machine Learning/MLOps Engineer will lead the development and integration of machine learning models and data pipelines for autonomous systems. Responsibilities include managing the machine learning lifecycle, collaborating with cross-functional teams, and ensuring effective system integration and testing.