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WekaIO

AI-native data platform for high-performance workloads

Senior Software Engineer - Platform

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Mastery of low-level C and C++ development in Linux user space or kernel space, with extensive experience in performance-sensitive code.
  • Extensive experience with networking concepts and protocols, including UDP, TCP, InfiniBand, Ethernet, and RDMA.
  • At least 10 years of hands-on software development experience on Linux-based systems.
  • Experience working on complex, large-scale, and/or distributed systems.

Responsibilities

  • Create designs, write efficient code, and conduct collaborative code reviews.
  • Share ideas and architectural guidance for distributed computing, high-performance storage, and cloud computing.
  • Conduct performance testing around input/output and storage throughput to challenge benchmarks.

Desired Qualifications

  • Experience with DPDK, eBPF/XDP, and libfabric.
  • Knowledge of storage systems and SSDs, including SPDK.
  • Prior involvement with deep networking, including congestion control, bonding, VLAN, and InfiniBand.
  • Kernel driver development know-how.
  • Familiarity with storage concepts, including SMB, NFS, S3, SSD, NVMe, and Linux filesystems.
  • Experience developing highly distributed systems.
  • Experience with memory management concepts and entities in a multiprocessing system, including cache, shared memory, NUMA, and huge pages.

About the Company

WekaIO

AI-native data platform for high-performance workloads

WEKA is an AI-native data platform that provides a cloud- and hardware-agnostic software solution for performance-heavy AI, ML, and GPU workloads. The WEKA Data Platform organizes and speeds data across on-premises, cloud, edge, and hybrid environments to turn isolated data into dynamic pipelines. It delivers high throughput and scalable data management to support enterprise AI initiatives and research workloads, helping teams gain faster insights. WEKA differentiates itself with a single scalable platform that works across multiple infrastructure footprints and emphasizes energy efficiency, aiming to simplify and accelerate data-driven AI workflows for large enterprises and research groups while replacing legacy data silos.

Company size
501-1,000
Company stage
Series E
Total funding
$465.1M
Headquarters
Campbell, CA
Founded
2013

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