Network Engineer

September 26

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TensorWave

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Description

• Collaborate with a dynamic engineering team to design and implement innovative networking solutions that meet the demands of high-performance AI workloads. • Lead initiatives to explore and integrate new types of network fabrics, enhancing the scalability and efficiency of our AI infrastructure. • Ensure network reliability, performance, and security for cloud services, optimizing for both AMD and NVIDIA GPU technologies. • Work closely with the AI development team to align networking strategies with the overall goals of TensorWave's cloud platform. • Troubleshoot and resolve complex networking issues, providing expert guidance and solutions to maintain high service levels.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field. • At least 5 years of relevant experience in network engineering, with a focus on supporting high-performance computing (HPC) and AI applications. • Strong knowledge of RCCL/NCCL, MPI and/or HPC. • Experience with or keen interest in exploring new network fabrics and technologies, particularly in the context of AI and cloud computing. • Familiarity with AMD and NVIDIA GPU ecosystems and their impact on network performance and configuration. • Exceptional problem-solving abilities and a commitment to innovation in networking for AI applications.

Benefits

• Stock Options • 100% paid Medical, Dental and Vision Benefits for employees • Life and Voluntary supplemental life insurance • Short-term disability insurance • Flexible Spending Account • 401(k) • Flexible PTO • Paid Holidays • Parental Leave • Mental Health Benefits through Spring Health