ML Infra Engineer

What you'll do

• Build infrastructure to reliably transfer sensor data from vehicles and develop pipelines to catalog, explore, and curate training data.
• Design and scale distributed ML training on GPU clusters.
• Improve pipeline performance, observability, efficiency, and security, and partner with the ML team to build reliable infrastructure.

What they ask for

• Experience building and operating high-availability web services on cloud infrastructure.
• Experience with infrastructure-as-code and configuration management tools; the posting names Terraform and Ansible.
• Experience building and maintaining CI/CD pipelines and managing deployments.
• Fluency in security fundamentals and hands-on experience with cluster scheduling systems for large-scale batch computation; able to read, write, and extend non-trivial code.

Nice to have

• Experience managing large, high-performance ML training clusters and knowledge of distributed training frameworks and high-performance networking for ML workloads.
• Infrastructure experience at an early-stage autonomous vehicle or robotics company; comfort as an early team member.

Tools

Terraform, Ansible, Linux

AI focus

The role builds infrastructure for ML data collection, dataset curation, distributed model training, and deployment. AI tools may also be used during hiring to compare applicants’ qualifications and experience with the job description; a human reviews the output and makes the final decision.