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405 open listings · Page 17 of 17
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
Crusoe
San Francisco, CA · $190,000 – $230,000
Crusoe seeks a senior engineer to architect agentic AI systems that automate enterprise workflows across integrated platforms like Salesforce and Slack. This role suits someone with deep AI infrastructure expertise who thrives building scalable, production-grade automation frameworks and mentoring teams through emerging AI technologies.
Listed on Crusoe’s careers site · Apply there ↗
Crusoe
Full-time · 2 locations · $136,000 – $160,500
This role builds and operates cloud storage infrastructure for an AI infrastructure company that owns its full technology stack. The right fit will have deep experience with distributed storage systems and the ability to drive innovation across cloud storage features while collaborating across engineering teams.
Listed on Crusoe’s careers site · Apply there ↗
Crusoe
San Francisco, CA · $237,600 – $318,240
Crusoe seeks a Senior Staff Software Engineer to build infrastructure for training and fine-tuning large language models at scale, focusing on orchestration, pipelines, and lifecycle management for AI workloads. This role suits experienced AI infrastructure engineers with deep hands-on experience in LLM training, reinforcement learning, and distributed systems who want to work on the foundational layer of AI compute.
Listed on Crusoe’s careers site · Apply there ↗
Crusoe
San Francisco, CA · $166,000 – $201,000
Crusoe is seeking a Senior Software Engineer to design and build distributed storage systems for AI and HPC workloads at scale. This role suits experienced storage systems engineers who want to work on foundational infrastructure that powers demanding computational workloads.
Listed on Crusoe’s careers site · Apply there ↗
Crusoe
San Francisco, CA · $180,000 – $210,000
Crusoe seeks a Senior Software Engineer to design and operate managed Kubernetes infrastructure for AI workloads, focusing on reliability, scalability, and carbon-efficient operations. This role suits experienced systems engineers comfortable with Go, Kubernetes, and infrastructure-as-code who want to contribute to a high-performance cloud platform handling demanding AI compute.
Listed on Crusoe’s careers site · Apply there ↗