Network Engineer, HPC - Paris Region

TLDR

Design and optimize high-performance network infrastructures for HPC clusters and AI workloads, collaborating with cross-functional teams to enhance AI research and production environments.

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.   About the Role   As an HPC Network Engineer, you will design, deploy, and optimize high-performance network infrastructures for our HPC clusters and AI workloads. You will collaborate with cross-functional teams to ensure seamless integration of networking solutions with our compute, storage, and cloud platforms. Your expertise will directly impact the performance, reliability, and scalability of Mistral’s AI research and production environments.     Key Responsibilities   Design, implement, and optimize high-performance, low-latency network architectures for HPC environments, including InfiniBand, RoCE, and high-speed Ethernet. Collaborate with HPC, DevOps, and AI research teams to integrate networking solutions with compute clusters, storage systems, and cloud platforms. Troubleshoot and resolve complex network issues to minimize downtime and maximize performance. Follow escalation procedures and ensure solutions are provided in a timely manner. Ensure escalation is progressing accordingly with the given severity. Monitor network performance, capacity, and security, implementing improvements as needed. Stay updated with emerging HPC networking technologies and best practices, and drive their adoption within Mistral. Develop and maintain documentation for network architectures, configurations, and operational procedures.     Qualifications & Experience   Technical Skills: Proficiency in HPC networking protocols (InfiniBand, RoCE, TCP/IP, MPLS). Hands-on experience with network hardware (switches, routers, NICs) from vendors like Mellanox, Cisco, or Arista. Knowledge of network automation tools (Ansible, Python scripting). Familiarity with HPC environments, parallel computing, and distributed systems. Experience with network security best practices. Soft Skills: Strong problem-solving and analytical skills. Ability to thrive in a fast-paced, collaborative environment. Excellent communication skills (English required; French is a plus). Teaching and documentation skills to ensure knowledge is archived and distributed to team members.   Why Join Mistral? Impact: Play a pivotal role in scaling Mistral’s cutting-edge AI infrastructure. Growth: Opportunity to shape data centre operations from the ground up in a high-growth startup environment. Collaboration: Work with a talented, cross-functional team passionate about AI and technology. Flexibility: Competitive compensation, benefits, and the chance to contribute to revolutionary projects.

Mistral AI develops high-performance, open-source AI models and solutions that simplify tasks and enhance creativity for both enterprises and individuals. Our comprehensive platform seamlessly integrates into daily work life, offering tools like Le Chat and Mistral Compute to democratize access to advanced AI technology. We're dedicated to driving innovation and making AI accessible to everyone.

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