HPC Solutions Engineer

🕒 Julho 2

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Hydra Host

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🔧 Hardware

🏢 Corporativo

🤖 Inteligência Artificial

💰 $10.000.000 Seed Round em 2022-04

Hardware • Enterprise • Artificial Intelligence

Hydra Host é um fornecedor de soluções de computação de alto desempenho, oferecendo acesso a servidores dedicados de GPU bare metal otimizados para cargas de trabalho de IA e HPC. Sua plataforma permite que usuários acessem e aluguem GPUs de ponta globalmente, proporcionando desempenho, segurança e personalização incomparáveis. A infraestrutura da Hydra Host inclui um marketplace, conhecido como Brokkr, que oferece uma ampla gama de configurações e soluções de GPU adaptadas para aplicações críticas, como IA, big data e aprendizado de máquina. Através de suas soluções robustas, seguras e escaláveis, a Hydra Host garante que os clientes desfrutem de controle total sobre seus ambientes de servidor, com opções para escalabilidade e prontidão para o futuro. As ofertas da empresa são confiáveis por empresas líderes que buscam soluções de computação eficientes e inovadoras.

Descrição

• Work with customers in technical discovery to help define requirements and deliverables for their use cases and help them to effectively utilize distributed GPU computing resources. • Identify and recommend the best tools for each customer, while building boilerplate and reference implementations that can be reused for subsequent customers. • Manage GPU clusters and coordinate with IT to ensure efficient operation of NVIDIA GPUs, utilizing technologies such as InfiniBand for high-speed networking. • Oversee the deployment and maintenance of machine learning environments using virtual storage solutions and distributed computing (HPC) tools such as SLURM. • Automate infrastructure provisioning and management using tools such as Ansible and Terraform. • Collaborate with data scientists and engineers to ensure seamless integration of ML models into production environments. • Conduct performance tuning and optimization of systems to maximize throughput and reduce latency. • Stay current with the latest industry trends in machine learning technologies and HPC to ensure the use of best practices in infrastructure setup and model development. • Document and maintain operational procedures and system configurations.

🎯 Requisitos

• 7+ years of high performance compute, distributed machine learning, GPU computing, and/or system architecture experience • Proficient in managing NVIDIA GPU environments and a familiarity with GPU computing frameworks and libraries • Strong experience with high-speed networking technologies, specifically InfiniBand • Experience with HPC job schedulers, preferably SLURM • Expertise in automating environment setup and maintenance using Ansible and Terraform • Demonstrated ability in deploying and managing virtual storage solutions • Strong coding skills in Python and familiarity with machine learning libraries and frameworks • Excellent problem-solving, communication, and teamwork skills.

🏖️ Benefícios

• You will work with the most diverse hardware configurations and locations available to anyone in the industry as well as cutting edge GPU use cases • This role is fully remote with a high accountability and high agency culture • This role offers a competitive salary, equity and benefits • This role offers flexible PTO