Systems Engineer, Platform

VDURA

$120K — $145K *
Niwot, CO 80544In-Person
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field; Master's preferred.
  • Over 10 years of experience in hardware engineering or systems architecture roles.
  • Hands-on expertise in specifying and qualifying servers, storage systems, and networking platforms.
  • Proficient with x86 server architectures, SAS, SATA, NVMe storage, and Ethernet, InfiniBand networking.
  • Experience with GPU-accelerated systems and familiarity with hypervisor technologies, particularly KVM.
  • Proven ability to work cross-functionally with software and QA teams for optimized solutions.
  • Excellent analytical, documentation, and communication skills.

Responsibilities

  • Define system architectures for VDURA's parallel file system solutions.
  • Evaluate and select platforms from OEMs for next-gen product development.
  • Lead hardware qualification efforts with software and QA teams.
  • Recommend improvements to platform definitions based on customer feedback.
  • Develop integration and manufacturing instructions for platform deployment.
  • Drive performance characterization of platforms under real-world workloads.
  • Collaborate with software teams to optimize hardware and software alignment.

Benefits

  • Opportunity to work on cutting-edge technologies in AI and HPC.
  • Collaborative and innovative work environment with a focus on impact.
  • Flexibility to work remotely, promoting work-life balance.
  • Commitment to diversity and equal opportunity in the workplace.
Full Job Description
Description

Role Overview

VDURA is seeking a Senior System Engineer to lead the specification, selection, and qualification of server, storage, and networking platforms used in VDURA parallel file system solutions. This role is critical to ensuring our hardware platforms meet the performance, scalability, reliability, and cost objectives required for AI and HPC workloads.

You will work closely with software engineering, QA, product management, and external partners to define reference architectures, evaluate emerging technologies, and qualify platforms for both internal development and customer deployment.

Key Responsibilities
  • Define and own system architectures for VDURA parallel file system solutions, including compute, storage, and networking components
  • Specify, evaluate, and select server, storage, and networking platforms from OEMs and technology partners for current and next-generation products
  • Lead hardware bring-up, qualification, and validation efforts in collaboration with software, QA, and lab teams
  • Recommend continuous improvement changes to the platform definition based on vendor roadmaps and customer feedback.
  • Develop build and test instructions for integration and manufacturing partners.
  • Drive performance characterization of platforms, including throughput, latency, IOPS, failover behavior, and scalability under real-world workloads
  • Partner with software teams to ensure optimal alignment between hardware capabilities and PanFS datapath and control planes
  • Work directly with OEMs, IHVs, and component vendors on roadmap alignment, issue resolution, and joint qualification efforts
  • Support customer engagements by providing platform guidance, configuration recommendations, and technical deep dives as needed
  • Contribute to lab infrastructure planning and ensure test environments reflect future customer-facing configurations


Required Qualifications
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field (Master's preferred)
  • 10+ years of experience in hardware engineering, systems engineering, or platform architecture roles
  • Strong hands-on experience specifying, benchmarking and qualifying servers, storage systems, and high-performance networking platforms
  • Engineering experience with:
    • x86 server architectures
    • Storage - SAS, SATA, NVMe
    • Networking - Ethernet, InfiniBand, RDMA, TCP, UDP
    • Multicore - NUMA, memory management, caching
    • PCIe Gen5/6
    • Hypervisor technologies - particularly KVM
  • Experience working with HPC, AI, or large-scale storage systems
  • Proven ability to collaborate cross-functionally with software, QA, and product teams
  • Comfortable working with vendors and partners at both technical and roadmap levels
  • Strong analytical, documentation, and communication skills


Preferred Qualifications
  • Experience with parallel file systems, distributed storage, or scale-out data platforms
  • Familiarity with GPU-accelerated systems and AI infrastructure requirements
  • Experience with storage benchmarking tools and workload characterization
  • Prior exposure to customer-facing technical roles or field engineering support
  • Experience building or managing lab environments for system qualification


Location: We strongly prefer candidates in Pittsburgh, PA or Denver, CO. However, we are open to remote candidates who meet the qualifications and can work effectively from a remote location.

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