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Senior Systems Engineer – AI/ML Infrastructure
Posted about 2 months agoViewed
💎 Seniority level: Senior, 5+ years
🔍 Industry: AI/ML Infrastructure
🏢 Company: Deepgram👥 51-100💰 $47,000,000 Series B over 2 years ago🫂 Last layoff over 1 year agoArtificial Intelligence (AI)Developer APIsData Collection and LabelingNatural Language ProcessingSpeech Recognition
🗣️ Languages: English
⏳ Experience: 5+ years
Requirements:
- 5+ years of experience in infrastructure engineering or similar roles
- Strong background in network engineering and design for reliability
- Experience with large-scale storage systems (distributed file systems, caching solutions)
- Proven track record of managing bare-metal infrastructure
- Expertise in container orchestration platforms (Kubernetes, Slurm)
- Experience with GPU infrastructure management and optimization
- Strong automation and scripting skills
Responsibilities:
- Build and maintain bare-metal GPU compute clusters for AI training and inference workloads
- Implement monitoring, alerting, and automation solutions for infrastructure management
- Manage large-scale deployments using modern orchestration platforms like Kubernetes and Slurm
- Design and implement reliable, high-performance network architectures for distributed systems
- Architect and maintain large-scale storage solutions, including backup systems, distributed caching, and object storage
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