Infrastructure Operations Engineer (GPU Computing) - Enterprise AI

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Job Overview

The Infrastructure Operations Engineer (GPU Computing) - Enterprise AI at Aethir will play a pivotal role in maintaining and optimizing infrastructure and operations to support advanced GPU computing for artificial intelligence applications. This position involves a combination of system administration, performance tuning, and troubleshooting to ensure the reliability and efficiency of computing resources used in AI-related projects. The successful candidate will collaborate with cross-functional teams to streamline processes and enhance the overall performance of our enterprise AI solutions.

Job Responsibilities

• Design, deploy, and manage GPU compute clusters to support enterprise AI workloads.
• Monitor system performance and implement optimizations to enhance computational efficiency.
• Conduct troubleshooting and resolution of hardware and software issues affecting GPU operations.
• Collaborate with software engineering and data science teams to guide infrastructure requirements.
• Document processes, configurations, and changes in infrastructure setup for future reference.
• Implement security protocols and ensure compliance with industry standards for AI infrastructure.
• Stay current with advancements in GPU technologies and propose upgrades or improvements accordingly.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in infrastructure operations, preferably within AI or ML environments.
• Strong understanding of GPU architecture and experience with GPU programming frameworks (e.g., CUDA, OpenCL).
• Proficiency in scripting languages (e.g., Python, Bash) for automation and system management.
• Experience with system monitoring and performance tuning tools.
• Knowledge of virtualization technologies such as VMware or KVM.
• Excellent problem-solving skills and attention to detail.

Technologies & Tools

The Infrastructure Operations Engineer will work extensively with cutting-edge technologies and tools, including NVIDIA GPUs, Kubernetes for container orchestration, various cloud platforms (such as AWS, Azure), and AI frameworks such as TensorFlow and PyTorch. Knowledge and experience in configuration management tools like Ansible or Puppet will also be beneficial in deploying and managing infrastructure effectively.

Ideal Candidates

Ideal candidates for this position will possess a strong affinity for technology and a passion for innovation in the field of artificial intelligence. They should be proactive and possess excellent interpersonal skills for effective teamwork. A detail-oriented mindset, combined with a dedication to maintaining high standards of performance and reliability, makes for a successful candidate. Strong analytical abilities and the capability to adapt to constantly evolving technologies are also crucial for success in this role.