Infrastructure Operations Engineer - GPU Computing

June 11, 2024

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Aethir

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Aethir is a company focused on providing distributed cloud compute infrastructure, offering secure and cost-effective access to enterprise-grade GPUs worldwide. It specializes in GPU-based solutions that cater to artificial intelligence (AI) and gaming industries, enabling high-performance computing tasks such as AI model training and high-quality gaming experiences. Aethir's infrastructure supports 43,000+ enterprise-grade GPUs in over 23 countries, ensuring 99. 99% uptime and superior reliability. Aethir also facilitates on-chain transactions through partnerships, like with Auros, to streamline compute credit purchases for enterprises, making it a key player in the Web3 services space.

11 - 50 employees

Founded 2018

🌐 Web 3

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• We are seeking a highly skilled and motivated Infrastructure Operations Engineer to join our dynamic team • As an integral member of the InfraOps team, you will play a key role in managing and optimizing our GPU-based compute infrastructure (across multiple locations and partners), ensuring maximum performance, scalability, and reliability

🎯 Requirements

• Experience in infrastructure operations, preferably in a DevOps or SRE role or Sales Engineering or Solution Architect role - focused on GPU compute • Proficiency in managing GPU-based compute infrastructure, including NVIDIA GPUs and CUDA programming • Strong expertise in Linux system administration and shell scripting (e.g., Bash, Python) • Experience with configuration management tools (e.g., Ansible, Chef, Puppet) and version control systems (e.g., Git) • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) • Solid understanding of networking concepts, protocols, and troubleshooting techniques • Excellent analytical and problem-solving skills, with a proactive and results-oriented mindset • Effective communication skills and the ability to collaborate effectively with cross-functional teams. We operate in English, but speaking Mandarin as well is a big bonus as we have engineering teams in China and Southeast Asia • Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and hybrid cloud architectures • Knowledge of HPC frameworks and job scheduling systems (e.g., Slurm, PBS Pro) • Familiarity with GPU-accelerated libraries and frameworks (e.g., TensorFlow, PyTorch, CUDA Toolkit) • Understanding of cybersecurity principles and practices, including encryption, access controls, and threat detection/prevention • Bonus if you know Web3 (cryptocurrency, tokenization of RWAs, mining/staking, etc.)

🏖️ Benefits

• Competitive compensation structure (and flexible on fiat/token mix) • Can be flexible on benefits, depending on location and setup • Salary is also flexible depending on location and setup • Flexible work hours and remote work options