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Cloud Infrastructure Architect

2 weeks ago


San Jose, California, United States ZipRecruiter Full time

About the Company

ZipRecruiter is at the forefront of the AI revolution, providing cutting-edge infrastructure that's reshaping the landscape of artificial intelligence.

We offer an AI-centric cloud platform that empowers Fortune 500 companies, top-tier innovative startups, and AI researchers to drive breakthroughs in AI.

The company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers.

Our mission is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality.

The Opportunity

We're seeking a Solutions Architect, Pre-Sales 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.

As a trusted advisor, you'll help clients leverage GPU-powered cloud solutions to optimize their AI and machine learning workflows.

  • 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

What You Bring

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

Key Attributes for Success

Possion for AI and transformative technologies

Results-driven mindset and problem-solver mentality

Adaptability and ability to thrive in a fast-paced startup environment

Comfortable working with an international team and diverse client base