- Kirkland, Washington, United States
- On-site
- Full-time · Staff
- $102K–$144K per year
Own complex customer issues and provide specialized support to other teams, ensuring customers can seamlessly deploy their AI and ML workloads on AI Infrastructure products.
Compensation
US: $102000 - $144000 (USD) + 15% bonus target + equity + benefits
Responsibilities
- Manage customers' problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on AI/ML infrastructure.
- Develop an in-depth understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis.
- Act as a consultant and subject matter expert for internal stakeholders in Engineering, Sales, and customer organizations to resolve complex deployment and operational obstacles in AI infrastructure environments.
- Work closely with multiple Product and Engineering teams to find ways to improve the product, and interact with our Site Reliability Engineering (SRE) teams to drive high-quality production.
- Be available for non-standard work hours or shifts which may include weekends as needed.
Requirements
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience
- Nice to have: Large-scale distributed systems
- Nice to have: AI/ML computing hardware (GPUs or other accelerators)