Senior Software Engineer, ML Infrastructure

Summary

Join Standard Bots, a company revolutionizing real-world automation through an accessible AI-powered platform. As a Senior Software Engineer, you will build and scale infrastructure supporting AI development and deployment, applying your distributed systems and DevOps expertise to cutting-edge AI/ML applications. While deep ML expertise isn't required, you'll collaborate closely with the ML team. This role involves designing and implementing scalable infrastructure, building and maintaining distributed compute clusters, optimizing resource allocation, and implementing CI/CD pipelines. The ideal candidate possesses strong software engineering skills and experience with data pipelines and distributed systems. Standard Bots offers an opportunity to make a tangible impact in the AI robotics revolution.

Requirements

• Have 5+ years of software engineering experience
• Proven track record with data pipelines and distributed systems
• Experience with cloud platforms (AWS/GCP/Azure) and container orchestration (Kubernetes)

Responsibilities

• Design and implement scalable infrastructure for our AI deployment pipeline
• Build and maintain distributed compute clusters
• Optimize resource allocation and automate AI deployment workflows
• Implement CI/CD pipelines and automated testing for AI models
• Scale our cloud infrastructure with a focus on: Distributed GPU training coordination and synchronization
• Scale our cloud infrastructure with a focus on: Data compression and streaming solutions for high-bandwidth sensor data
• Scale our cloud infrastructure with a focus on: Optimize costs across cloud providers
• Design and implement observability systems to: Monitor system health and resource utilization for training jobs
• Design and implement observability systems to: Automatically detect and diagnose infrastructure issues
• Collaborate with ML engineers to understand and address infrastructure needs

Preferred Qualifications

• DevOps or ML Ops experience
• Interest in ML/AI infrastructure (deep ML expertise not required)