Weka-posted 3 months ago
Senior
San Francisco, CA
251-500 employees
Publishing Industries

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy. WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We've raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world's largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We're passionate about solving our customers' most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

  • Play an active role in creating jaw-dropping designs, writing impressively efficient code, and conducting collaborative code reviews.
  • Share fresh ideas and architectural guidance for our core areas of distributed computing, high-performance storage, and cloud computing.
  • Challenge our benchmarks with performance testing around IO and storage throughput.
  • Mastery of low-level C/C++ development in Linux user space or kernel-space with a vast experience in performance-sensitive code.
  • 5+ years of hands-on experience with software development on Linux based systems.
  • Familiarity with network concepts and protocols (UDP, TCP, InfiniBand, Ethernet, RDMA).
  • Experience with development over Linux, including low-level User-Mode OS knowledge.
  • Experience with DPDK and SPDK.
  • Experience with Go and Python.
  • Knowledge of storage systems and SSDs.
  • Previous experience with hardware interfaces.
  • Prior involvement with deep networking (congestion control, bonding, VLAN, InfiniBand).
  • Experience with the development of highly-distributed systems.
  • Experience in the storage industry, databases, or other infrastructure.
  • Experience working with AWS or other public clouds.
  • Experience with memory management concepts and entities in a multiprocessing system (cache, shared memory, numa, etc.).
  • Experience working on complex and large-scale and/or distributed systems, databases, or others.
  • Familiarity with storage concepts (SMB, NFS, S3, SSD, NVMe, Linux filesystems).
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