AI Kernel / Cluster Engineer

AI Kernel / Cluster Engineer

Location: On-site, Santa Clara, CA

Our client is expanding a world-class AI infrastructure environment designed to power next generation machine learning and high performance computing workloads. They are seeking an experienced AI Kernel / Cluster Engineer who thrives in highly technical Linux environments and enjoys solving complex infrastructure challenges at scale. This position offers the opportunity to work directly with cutting edge GPU computing platforms, optimize mission critical AI infrastructure, and help ensure the reliability and performance of production systems supporting advanced AI initiatives.

This is an excellent opportunity for an engineer who enjoys working at the intersection of Linux systems engineering, GPU infrastructure, networking, and automation while partnering with highly skilled technical teams to support innovative AI platforms.

What You'll Do

• Manage and optimize production GPU and HPC clusters supporting large scale AI training and inference workloads.
• Administer Ubuntu Linux systems at the kernel level, including driver management, kernel tuning, boot configuration, and operating system optimization.
• Monitor GPU infrastructure health using NVIDIA tools and proactively resolve performance, hardware, and system issues.
• Configure and maintain LXC container environments, ensuring reliable resource allocation, networking, and workload isolation.
• Support high performance cluster networking, including InfiniBand and RoCEv2, while diagnosing connectivity and fabric performance issues.
• Manage workload scheduling and compute resources using SLURM or Kubernetes to maximize cluster efficiency.
• Develop Bash and Python automation to streamline operations, improve monitoring, and reduce manual administrative tasks.
• Troubleshoot complex issues spanning Linux systems, GPU hardware, containers, storage, and networking while documenting solutions and operational best practices.

Required Qualifications

• Minimum of 3 years managing production GPU or HPC cluster environments.
• Advanced Ubuntu Linux administration experience with strong kernel level expertise, including driver management, kernel tuning, boot configuration, and operating system internals.
• Experience administering LXC container environments in production.
• Strong understanding of GPU networking technologies including InfiniBand and RoCEv2.
• Hands-on experience with NVIDIA technologies including DCGM, UFM, CUDA, NCCL, and SHARP.
• Experience supporting workload orchestration through SLURM or Kubernetes.
• Proficiency with Bash and Python scripting for automation, diagnostics, and operational efficiency.
• Demonstrated ability to troubleshoot issues across Linux systems, GPU infrastructure, container platforms, and networking simultaneously.
• Strong analytical and problem solving abilities with excellent communication skills.

Preferred Qualifications

• Experience supporting AI and machine learning frameworks including PyTorch, TensorFlow, or JAX.
• Familiarity with infrastructure automation using Ansible or Terraform.
• Exposure to TensorRT, ONNX, or related AI optimization technologies.
• Industry certifications in Linux, networking, AI, cloud, or GPU technologies, including NVIDIA DLI, AWS Machine Learning, CCNP, or similar credentials.

About Blue Signal:

Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS