Senior Simulation Engineer for Autonomous Systems

Anduril Industries; Washington (District of Columbia); Presencial; USD 120.000 - 170.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity Grants

Health Benefits

Descripción de la vacante

engineeringjobs.net, Inc. seeks a skilled engineer to develop and scale simulation infrastructure for ML model training and robotics performance analysis. The role includes cloud-based ETL pipelines and automated or generative simulation environments to support autonomous vehicle programs.

The candidate will build Python tools for simulation infrastructure and orchestration, enabling robust autonomous vehicle programs and scalable experimentation across platforms.

Formación

• Experience in autonomous systems, aerospace, robotics, or mission-critical domains.
• Extensive experience developing simulation tools and infrastructure for commercial autonomous vehicle companies.
• Experience with a major cloud platform; embedded Linux, remote software troubleshooting, and monitoring/logging tools preferred.

Responsabilidades

• Develop and scale simulation infrastructure for ML model training and robotics performance analysis.
• Build Python tools for simulation infrastructure and orchestration to support autonomous vehicle programs.

Conocimientos

Simulation Infrastructure

Autonomous Systems

Aerospace

Robotics

Cloud Platforms

Python

ETL Pipelines

Machine Learning

Embedded Linux

Monitoring And Logging

Cloud Platforms

AWS

Azure

GCP

Apache Spark

Flyte

Apache Airflow

Herramientas

Python

AWS

Azure

GCP

Apache Spark

Flyte

Apache Airflow

Descripción del empleo

engineeringjobs.net, Inc. seeks a skilled engineer to develop and scale simulation infrastructure for ML model training and robotics performance analysis. The role includes cloud-based ETL pipelines and automated or generative simulation environments to support autonomous vehicle programs.

The candidate will build Python tools for simulation infrastructure and orchestration, enabling robust autonomous vehicle programs and scalable experimentation across platforms.