AI Infrastructure Architect Lead

5 days ago


Los Angeles, California, United States ZipRecruiter Full time
About the Role

We are seeking a highly skilled AI Infrastructure Architect Lead to join our dynamic team. This role offers a unique chance to shape the adoption of AI technology and work with cutting-edge cloud and AI infrastructure.

Responsibilities
  • Serve as a trusted technical advisor to clients on GPU cloud technologies
  • Conduct PoCs, workshops, and training sessions to educate clients
  • Develop tailored solution architectures based on client requirements
  • Design and document Infrastructure as Code solutions
  • Optimize client pipeline performance, scalability, and resource utilization
  • Act as the primary expert on customer scenarios for Product, Technical support, and Marketing teams
Requirements
  • At least 5 years of experience as a Cloud Solutions Architect, System/Network Engineer, Developer, or similar technical role focused on cloud computing
  • Strong hands-on experience with Infrastructure as Code and configuration management tools (Terraform, Ansible), Kubernetes, and Python coding skills
  • Solid understanding of GPU computing practices for ML training and inference workloads, including GPU software stack components (CUDA, OpenCL)
  • Ideally, experience with HPC/ML orchestration frameworks (Slurm, Kubeflow) and deep learning frameworks (TensorFlow, PyTorch)
  • Knowledge of cloud ML tools from industry leaders (NVIDIA, AWS, Azure, Google)
  • Bachelor's degree in a relevant field (advanced degree is a plus)
  • Excellent communication skills
What We Offer
  • Competitive compensation: $140,000-$150,000 per year plus quarterly bonuses
  • Full medical benefits: 100% coverage for health, vision, and dental insurance
  • Stock options plan
  • 401(k) match program
  • PTO and paid holidays
  • Flexible remote work environment
  • Startup culture with stability: excitement and innovation of a startup backed by the resources of an established company
  • Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs (H100, L40S, with H200 and Blackwell chips coming soon)
  • Be part of a team that operates one of the most powerful commercially available supercomputers
  • Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings


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