Job Specifications
Payrate: $80.00 - $81.00/hr.
Summary:
We are seeking a highly skilled Senior Server Administrator to join our AI Engineering team. This role is critical to the deployment, maintenance, and optimization of high-performance computing infrastructure, specifically leveraging NVIDIA’s advanced GPU technologies. You will work closely with AI researchers, data scientists, and software engineers to ensure our systems are robust, scalable, and tuned for cutting-edge machine learning workloads.
Position’s Contributions to Work Group :
This role is critical to the deployment, maintenance, and optimization of high-performance computing infrastructure, specifically leveraging NVIDIA’s advanced GPU technologies.
You will work closely with AI researchers, data scientists, and software engineers to ensure our systems are robust, scalable, and tuned for cutting-edge machine learning workloads.
Typical task breakdown:
Administer and maintain GPU-accelerated servers and clusters, including NVIDIA A100, H100, and other high-end GPU sets.
Manage and optimize NVIDIA software stack components such as CUDA, cuDNN, TensorRT, NCCL, and NGC containers.
Monitor system performance, troubleshoot hardware/software issues, and ensure high availability of AI infrastructure.
Collaborate with DevOps and AI teams to support containerized workflows (Docker, Kubernetes) and distributed training environments.
Implement security best practices and ensure compliance with internal and external standards.
Lead upgrades, patching, and lifecycle management of GPU servers and related infrastructure.
Provide documentation, automation scripts, and training for internal teams.
Work environment :
Candidates must be able to go into office 1 day a week and eventually go into office 5 days a week when notified.
Education & Experience Required:
Bachelor’s Degree with a minimum of 8 years work experience, 5+ years of experience in server administration, with at least 3 years focused on NVIDIA GPU-based systems
Technical Skills:
5+ years of experience in server administration, with at least 3 years focused on NVIDIA GPU-based systems.
Deep understanding of Linux system administration, especially in HPC or AI environments.
Hands-on experience with NVIDIA GPU drivers, CUDA toolkit, and performance tuning.
Familiarity with Slurm, Kubernetes, or other job scheduling and orchestration tools.
Experience with monitoring tools (e.g., Prometheus, Grafana) and infrastructure automation (e.g., Ansible, Terraform).
Strong scripting skills (Bash, Python, etc.). Excellent problem-solving and communication skills
NVIDIA Certified Professional or similar credentials.
Experience with multi-GPU and multi-node training setups.
Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow) and their GPU dependencies.
Exposure to cloud-based GPU infrastructure (AWS, Azure, GCP).
Pay Transparency: The typical base pay for this role across the U.S. is: $80.00 - $81.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
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