Senior AI Compute Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Deploy, manage, and validate AI Compute/HPC infrastructure within Linux-based environments for both new and existing clients.

• Serve as the subject matter expert during planning discussions and through to implementation with customers.

• Execute documentation and knowledge transfer related to handovers to assist clients in deploying complex systems.

• Provide insights to internal teams by reporting bugs, documenting workarounds, and recommending enhancements.

• Collaborate with customers, partners, and internal teams to analyze, define, and implement large-scale AI Compute initiatives that encompass networking, system design, automation, and validation.

⛳️ Requirements

• Over 8 years of experience in providing comprehensive support and deployment services, resolving issues for hardware and software products.

• Proficient knowledge and experience in Linux system administration, including process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, and advanced networking (tuning and monitoring).

• Familiarity with cluster management and provisioning technologies for bare-metal servers (bonus for experience with BCM (Base Command Manager)).

• A minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering, or equivalent experience.

• Proficiency in scripting languages such as Bash, Python, Ansible, etc.

• Exceptional interpersonal skills with a proven ability to resolve customer issues as they arise.

• Strong organizational capabilities and adeptness at prioritizing and multi-tasking with minimal supervision.

• Experience with job schedulers such as SLURM, LSF, UGE, etc.

• Willingness to travel to customer locations within the United States up to 20% of the time.

• Familiarity with benchmarking tools like HPL, NCCL tests, MLPerf, along with experience in Kubernetes.

• Knowledge of InfiniBand technology.

• Experience with GPU (Graphics Processing Unit) focused hardware and software.

• Experience with MPI (Message Passing Interface).

• Knowledge of storage technologies such as Lustre or GPFS.

• Familiarity with OEM GPU platforms.

🏝️ Benefits

• Equity.

• Comprehensive benefits.