VAST Data
VAST Data
VAST Data is an artificial intelligence infrastructure company that provides scalable data storage and management solutions for demanding workloads. Founded in 2019, the company specializes in cloud storage, flash storage, universal storage, and data center technologies including NVMe, QLC flash, and all-flash systems. Its platform is designed to support deep learning and other data-intensive applications while simplifying storage operations.

Forward Deployed Engineer at VAST Data (Hybrid - United States)

Partner with strategic customers to solve distributed systems and AI infrastructure challenges. Turn deployment insights into VAST Data product enhancements, automation, and reliable production outcomes.

Description

  • Work directly within strategic, large-scale customer environments
  • Partner with customer architects, operators, and developers to understand scaling challenges
  • Resolve complex infrastructure issues and improve system throughput
  • Diagnose difficult problems and build solutions for large workloads
  • Convert real-world customer requirements into core product improvements
  • Coordinate with engineering teams on hotfixes, roadmap changes, and new builds
  • Create custom API endpoints, automation tools, and scripts
  • Incorporate feedback from internal engineering code reviews
  • Represent customer priorities in product roadmap decisions
  • Lead the technical success of strategic deployments from design through production operations

Requirements

  • Deep foundational expertise in distributed systems, high-performance file systems, storage protocols, and performance tuning
  • Strong knowledge of high-throughput networking fabrics, including InfiniBand, RoCE (RDMA over Converged Ethernet), and 100GbE or faster networks
  • Advanced understanding of Linux system architecture, memory management, and kernel mechanics
  • Proficiency in Python and C or C++, including the ability to read, debug, and safely modify complex enterprise software
  • Experience operating large-scale AI training environments or high-performance computing clusters is highly desirable
  • Experience with Docker, Kubernetes, PyTorch, and TensorFlow is highly desirable
  • At least 5 years in a highly technical engineering role such as Forward Deployed Engineer, Resident Engineer, Systems Software Engineer, or Senior Systems Engineer, including customer-facing collaboration
  • Willingness and ability to travel to or work on customer sites as needed
  • Exceptional communication abilities
  • Highly organized and self-directed, with the judgment to manage customer expectations and establish strategic boundaries
  • Curiosity and the ability to quickly learn unfamiliar technical concepts

Benefits

  • Make a direct, measurable contribution to infrastructure that supports emerging technology
  • Collaborate with a highly experienced engineering team
  • Work on advanced technologies shaping the AI industry

Related Jobs