Senior Solution Engineer, Compute Systems

What you'll do

• Provide direct technical support to enterprise customers to resolve issues on GPU-accelerated platforms.
• Triage hardware platform issues and AI/ML workloads in large-scale data centers.
• Work with engineering teams to provide logs, reproduction steps, and triage information for complex issues.
• Apply agentic AI to solve customer issues and develop internal software tools.
• Drive customer issues from initial inception through to final resolution.
• Document customer interactions to enhance the internal knowledge base.
• Build custom tools using Python and C/C++ to support platform operations.
• Optimize and customize Linux environments for AI/ML workloads.

What we're looking for

• Minimum of a BS in Computer Engineering, Electrical Engineering, or equivalent experience.
• At least 10 years of engineering experience with multi-GPU platforms.
• Strong system software expertise including firmware, BIOS, kernel, driver, and operating system.
• Solid understanding of Linux to troubleshoot, optimize, and customize environments for AI/ML workloads.
• Proficient in C/C++ programming of platform OS, firmware, BIOS, kernel, and drivers.
• Proficient in Python programming with the ability to build custom tools.
• Experience with containerized solutions using Docker, Kubernetes, and/or Slurm.
• Professional-level communication skills and excellent follow-up and organizational skills.
• Background with parallel programming or GPU acceleration (e.g., CUDA) (preferred).
• Experience developing in GPU accelerated, cloud, or virtualized environments (preferred).
• Experience analyzing software performance of distributed workloads (preferred).
• Clustering or HPC data center technologies including Upper Layer Protocols (e.g., NCCL, MPI) (preferred).