AI Compute Engineer

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

📋 Description

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

• Serve as the subject matter expert, guiding customers from initial planning discussions through to successful implementation.

• Collaborate with customers, partners, and internal teams to analyze, define, and execute extensive AI Compute projects.

• Engage across networking, system design, automation, and validation processes.

• Create handover documentation and conduct knowledge transfers as clients initiate the deployment of advanced systems.

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

⛳️ Requirements

• Over 4 years of experience delivering comprehensive support and deployment services, along with problem-solving 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.

• Familiarity with cluster management and provisioning technologies for bare-metal servers; additional credit 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.

• Proficient scripting skills in Bash, Python, Ansible, or similar languages.

• Exceptional interpersonal skills with the ability to resolve customer issues effectively.

• Strong organizational skills, capable of prioritizing and managing multiple tasks with minimal supervision.

• Experience with scheduling systems such as SLURM, LSF, or UGE.

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

• Familiarity with benchmarking tools such as HPL, NCCL tests, and MLPerf.

• Experience with Kubernetes.

• Knowledge of InfiniBand.

• Experience with hardware/software focused on GPU technology.

• Familiarity with MPI.

• Experience with storage technologies like Lustre or GPFS.

• Awareness of OEM GPU platforms.

🏝️ Benefits

• Equity

• Benefits

• Equal opportunity employer