Develop an in-depth understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, and determining the root cause for customer reported issues, and build 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.
Participate in rotating on-call schedules including during nights, weekends and holidays, to ensure prompt and proper resolution of customer-impacting technical challenges.
Minimum qualifications
Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
Experience reading/debugging code written in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) and in virtualization and orchestration frameworks.
Experience in system administrator with Linux/Unix systems and debugging issues across the hardware/software on enterprise-grade server infrastructure.
Experience troubleshooting and advocating for customer needs, and triaging technical issues across the stack (e.g., hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, performance).
Preferred qualifications
Experience working directly with AI/ML computing hardware, including GPUs or other accelerators.
Experience with ML frameworks (e.g., TensorFlow, PyTorch), and understanding of the AI/ML training and inference lifecycle.
Experience working with large-scale distributed systems, and familiarity with common solutions, design patterns, or best practices.
Familiarity with containerization and orchestration technologies like Kubernetes or Slurm in an on-prem or cloud environment.
Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
Experience reading/debugging code written in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) and in virtualization and orchestration frameworks.
Experience in system administrator with Linux/Unix systems and debugging issues across the hardware/software on enterprise-grade server infrastructure.
Experience troubleshooting and advocating for customer needs, and triaging technical issues across the stack (e.g., hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, performance).
