AI Infrastructure Architect Lead
5 days ago
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
- 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
- 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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