Description:

Standard Bots is seeking a Senior Software Engineer to build and scale infrastructure supporting AI development and deployment.
The role involves applying distributed systems and DevOps expertise to cutting-edge AI/ML applications.
The engineer will design and implement scalable infrastructure for the AI deployment pipeline, which includes building and maintaining distributed compute clusters, optimizing resource allocation, and automating AI deployment workflows.
Responsibilities also include implementing CI/CD pipelines and automated testing for AI models.
The engineer will scale cloud infrastructure focusing on distributed GPU training coordination, data compression, and optimizing costs across cloud providers.
The role requires designing and implementing observability systems to monitor system health and resource utilization for training jobs and automatically detect and diagnose infrastructure issues.
Collaboration with ML engineers is essential to understand and address infrastructure needs.
Experience with AI or robotics is not required, but candidates should be experienced engineers ready to impact the AI robotics revolution.

Requirements:

Candidates must have 5+ years of software engineering experience; DevOps or ML Ops experience is a plus.
A proven track record with data pipelines and distributed systems is required.
Experience with cloud platforms such as AWS, GCP, or Azure, and container orchestration using Kubernetes is necessary.
An interest in ML/AI infrastructure is important, although deep ML expertise is not required.

Working remotely from anywhere in the United States.
Opportunity to work on cutting-edge AI/ML applications and make a tangible impact in the AI robotics revolution.
Being part of a team that is transforming robotics and making intelligent automation accessible to businesses of all sizes.