Key Customers Solution Architect - Remote

Overview

We are seeking a Key Customers Solution Architect to join our client's team. This role offers the chance to work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs, and contribute to sustainable AI infrastructure development.

In Short

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML challenges
• Guide customers in optimizing GPU performance for ML training and inference workloads
• Partner with the sales team to identify new opportunities and promote the latest products
• Act as a bridge to product teams, providing customer feedback and ensuring alignment with customer requirements
• Engage with stakeholders, negotiate solutions, and drive alignment to address customer challenges

Requirements

• 5+ years of experience in roles such as Cloud Solutions Architect, Technical Account Manager, or Customer Engineer
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible
• Experience with Kubernetes and Python programming
• Solid understanding of GPU computing, including ML training and inference workloads
• Strong ability to explain technical concepts to diverse audiences
• Hands-on experience with HPC/ML orchestration frameworks and deep learning frameworks
• Expertise in stakeholder negotiation and project management

Benefits

• Competitive compensation ranging from $180,000 to $300,000 per year (negotiable based on experience and location)
• Comprehensive benefits package, including 100% company-paid medical, dental, and vision coverage for employees and families
• 401(k) plan with a 4% match program and stock options plan
• Flexible remote work environment
• 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
• Company-paid short-term, long-term disability, and life insurance coverage
• Up to $85/month for mobile and internet
• Opportunity to work with cutting-edge AI technologies, including the latest NVIDIA GPUs
• Be part of a team operating 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