Senior Software Engineer, Simulation Infrastructure

Anduril Industries; Washington (District of Columbia); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Equity Grants

Health Benefits

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

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

Tools

Python

AWS

Azure

GCP

Apache Spark

Flyte

Apache Airflow

Job description

Develop and scale simulation infrastructure for machine learning model training and robotics performance analysis, including cloud-based ETL pipelines and automated or generative simulation environments. Build Python tools for simulation infrastructure and orchestration to support autonomous vehicle programs.

Requirements

Candidates should have experience in autonomous systems, aerospace, robotics, or another mission-critical domain, along with extensive experience developing simulation tools and infrastructure for commercial autonomous vehicle companies. They should also have extensive experience with a major cloud platform; embedded Linux, remote software troubleshooting, and monitoring or logging tools are preferred.

Key Skills

• Simulation Infrastructure
• Autonomous Systems
• Aerospace
• Robotics
• Cloud Platforms
• AWS
• Azure
• GCP
• Python
• ETL Pipelines
• Apache Spark
• Flyte
• Apache Airflow
• Machine Learning
• Embedded Linux
• Monitoring And Logging

Benefits

• Equity Grants
• Health Benefits