Senior Software Engineer, ML Infrastructure

Yesterday

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💰 Venture Round on 2018-03

Description

• 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 • Data compression and streaming solutions for high-bandwidth sensor data • Optimize costs across cloud providers • Design and implement observability systems to: • Monitor system health and resource utilization for training jobs • Automatically detect and diagnose infrastructure issues • Collaborate with ML engineers to understand and address infrastructure needs

Requirements

• 5+ years of software engineering experience, DevOps or ML Ops experience is a plus • Proven track record with data pipelines and distributed systems • Experience with cloud platforms (AWS/GCP/Azure) and container orchestration (Kubernetes) • Interest in ML/AI infrastructure (deep ML expertise not required)

Benefits

• Offers Equity