Autonomy Infra Engineer: Scale Cloud & Data Pipelines

AeroVect; San Francisco (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Commitment to diversity and inclusion

Work on cutting-edge autonomy technologies

Opportunity for hands-on development

Job summary

AeroVect, based in San Francisco, is seeking an Infrastructure Engineer to build crucial infrastructure for our autonomous driving solutions. You will work alongside engineers to ensure the success of our operations and customer deployments.

This role involves defining and leading the creation of reliable data pipelines, optimizing cloud systems, and collaborating with multiple teams on advanced projects that enhance ground vehicle autonomy in the logistics sector.

The ideal candidate will have significant experience in DevOps roles, particularly in autonomous vehicles or robotics, and a passion for innovative technology solutions.

Qualifications

• Experience developing and deploying infrastructure at scale.
• Scripting in bash and development in Python & C++.
• Experience with Linux development and networking.

Responsibilities

• Define and create reliable data pipelines and DevOps infrastructure.
• Manage large airport dataset processing.
• Collaborate with teams to support ground vehicle autonomy development.

Skills

Experience in a DevOps role

Expertise with containerized systems

Scripting experience in bash

Software development experience in Python

2+ years in autonomous vehicles or robotics

Education

BS in Computer Science, Engineering, or Mechatronics

Tools

Docker

Kubernetes

Job description

AeroVect, based in San Francisco, is seeking an Infrastructure Engineer to build crucial infrastructure for our autonomous driving solutions. You will work alongside engineers to ensure the success of our operations and customer deployments.

This role involves defining and leading the creation of reliable data pipelines, optimizing cloud systems, and collaborating with multiple teams on advanced projects that enhance ground vehicle autonomy in the logistics sector.

The ideal candidate will have significant experience in DevOps roles, particularly in autonomous vehicles or robotics, and a passion for innovative technology solutions.