echoloc

WEKA Tech Stack

AI-optimized storage system for high-performance distributed computing

Software Development Campbell, California 201–500 employees Founded 2013 Privately Held

WEKA builds storage infrastructure purpose-built for AI workloads, with a tech stack rooted in low-level systems (C/C++, kernel drivers, RDMA, NVMe, DPDK, SPDK) that minimize latency and maximize throughput. The company is actively addressing performance bottlenecks in kernel-level I/O and scaling to petabyte-scale distributed systems. Sales hiring (22 roles) significantly outpaces engineering (17), indicating a shift from product-driven to sales-led motion as the platform matures.

Tech Stack 52 technologies

Core StackLinux AWS C++ Rust Docker Ansible Python C/C++ InfiniBand RDMA NFS SMB SSD NVMe C UDP TCP Ethernet DPDK SPDK GPU Dell Supermicro NetBox LibreNMS Bash Cisco Meraki GCP OCI Axon+20 more

What WEKA Is Building

Challenges

  • Legacy data silos
  • Increasing performance demands
  • Fragile data infrastructures
  • Cost of innovation
  • Speed and scalability for data storage
  • Performance bottlenecks in kernel driver
  • Acquiring new logos
  • Critical technical issues
  • Validating large-scale distributed systems
  • Data at scale of 100s of pbs

Active Projects

  • Sales pipeline development
  • Distributed file system components for snapshots and replication
  • Proof-of-concept storage implementations
  • Proof of value engagements for weka in oci
  • Customer adoption acceleration
  • Joint selling opportunities
  • Next-generation storage architecture
  • High-performance filesystem solution
  • Kernel driver release
  • Upgrade/release planning

Hiring Activity

Decelerating55 roles · 10 in 30d

Department

Sales
22
Engineering
17
Product
5
Support
5
Marketing
3
Ops
2
Operations
1

Seniority

Senior
30
Manager
17
Director
3
Lead
2
Mid
1
Principal
1
Staff
1
Company intelligence

Find more companies like WEKA by tech stack, pain points and active projects

Get started free

About WEKA

WEKA provides a containerized, microservices-based storage system designed for enterprises running AI, machine learning, and high-performance computing workloads. The platform targets neoclouds and exascale AI environments where traditional storage architectures create bottlenecks. The company operates across multiple geographies (11 countries including US, India, Israel, UK, Australia, Singapore) and is focused on accelerating customer adoption and expanding sales coverage. Active development spans distributed file system components, kernel drivers, and multi-cloud proof-of-value implementations on OCI and other platforms.

HeadquartersCampbell, California
Company Size201–500 employees
Founded2013
Hiring MarketsIndia, Israel, United States, United Arab Emirates, South Korea, China, United Kingdom, Indonesia

Frequently Asked Questions

What is WEKA's tech stack built on?

WEKA uses C/C++, Rust, and kernel-level technologies (RDMA, DPDK, SPDK, NVMe) running on Linux. Infrastructure partners include AWS, GCP, OCI, with hardware vendors Dell and Supermicro. Orchestration tools: Docker, Ansible.

What countries is WEKA hiring in?

WEKA hires across 11 countries: United States, India, Israel, United Kingdom, United Arab Emirates, Australia, Singapore, South Korea, China, Indonesia, and Germany.

Similar Companies in Software Development

Other companies in the same industry, closest in size