AI Infrastructure Engineer

TensorWave-posted 4 months ago
Full-time • Mid Level
Las Vegas, NV
11-50 employees
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

At TensorWave, we're leading the charge in AI compute, building a versatile cloud platform that's driving the next generation of AI innovation. We're focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what's possible in the AI landscape. We are looking for an AI Infrastructure Engineer with a passion for high-performance computing and distributed systems. The ideal candidate will support our vision by developing and managing the compute infrastructure that underpins our innovative AI cloud services. This role involves building and maintaining robust AI clusters, ensuring optimal performance and reliability for our clients' most demanding workloads.

  • Collaborate with a dynamic IT team to design, deploy, and maintain high-performance AI compute clusters supporting both AMD and NVIDIA GPU technologies.
  • Lead initiatives to optimize cluster performance, resource utilization, and job scheduling to maximize efficiency across diverse AI workloads.
  • Ensure system reliability, performance, and security for cloud services, implementing monitoring solutions and automated recovery systems.
  • Work closely with the AI development team to align infrastructure capabilities with the evolving needs of TensorWave's cloud platform.
  • Troubleshoot and resolve complex infrastructure issues across Linux systems, networking, and distributed computing environments, providing expert guidance to maintain high service levels.
  • Implement and maintain configuration management, deployment automation, and infrastructure-as-code practices.
  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • At least 5 years of relevant experience in infrastructure engineering, with a focus on supporting high-performance computing (HPC) and AI applications.
  • Expert-level Linux system administration skills across multiple distributions.
  • Strong experience with clustered computing environments (GPU, CPU, or hybrid clusters).
  • Solid understanding of networking fundamentals, including TCP/IP, routing protocols, and high-speed interconnects.
  • Experience with container technologies (Docker, Kubernetes), job schedulers (Slurm, PBS), and configuration management tools.
  • Familiarity with AMD and NVIDIA GPU ecosystems, CUDA, ROCm, and their infrastructure requirements.
  • Exceptional debugging and problem-solving abilities with a methodical approach to complex system issues.
  • Demonstrated ability to learn new technologies quickly and adapt to rapidly evolving infrastructure needs.
  • Stock Options
  • 100% paid Medical, Dental, and Vision insurance
  • Life and Voluntary Supplemental Insurance
  • Short Term Disability Insurance
  • Flexible Spending Account
  • 401(k)
  • Flexible PTO
  • Paid Holidays
  • Parental Leave
  • Mental Health Benefits through Spring Health
Track Jobs with Teal

Job Search Resources

•
AI Resume Builder
•
AI Infrastructure Engineer Resume Examples
•
Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service