Neo Cloud - Principal Hardware Systems Engineer

Blaze Talent•Seattle, WA

14h•Remote

About The Position

Neo Cloud is seeking a Principal Hardware Systems Engineer to design, deploy, and manage its AI hardware infrastructure. This senior individual-contributor role requires an experienced system architect who can bridge customer needs, system architecture, and production operations. The ideal candidate will translate future AI/ML customer requirements into scalable hardware designs and operational strategies for a next-generation AI neocloud.

Requirements

10+ years of professional hardware engineering experience building and operating hardware at massive scale.
Direct experience with AI-focused hardware deployments across different hardware vendors, including NVIDIA GPU platforms.
Experience with NVIDIA BLackwell, GB200 or GB300 NVL72.
Experience with NVLink, NVSwitch, InfiniBand or Spectrum-X Ethernet, ConnectX networking, and BlueField DPUs.
Deep system level expertise.
Proven experience operating large-scale distributed systems in production, including on-call ownership, incident response, and driving systemic reliability improvements.
Strong systems programming skills.
Excellent written and verbal communication skills.

Responsibilities

Identify customer requirements by engaging directly with customers, solutions architects, and product teams to understand future hardware needs for AI/ML workloads.
Extrapolate from current usage patterns and industry trends to anticipate future requirements.
Partner with vendors and drive their roadmaps.
Design, implement, and operate AI cloud hardware.
Architect, evaluate, and deploy NVIDIA GPU infrastructure, including Blackwell-based B200, GB200, GB300, DGX and NVL rack-scale systems.
Design rack-scale infrastructure encompassing NVLink and NVSwitch fabrics, Infiniband or Spectrum-X Ethernet with RoCE for scale-out networking; power delivery, liquid cooling, cabling and serviceability.
Take a system-level approach that accounts for the full characteristics of AI workloads, building end-to-end solutions.
Architect for the specific demands of AI workloads focusing on performance, security, resiliency and cost.
Design and implement consistent and efficient hardware operation.
Take end-to-end ownership of hardware from design, supply chain planning, deployment, operation and ultimately deprecation.
Ensure security and compliance.
Utilize strong debugging and analytical skills to identify failures across a variety of electrical, thermal, optical, mechanical and software failures.
Set technical direction and best practices for the hardware organization; author and review design documents for significant architectural changes.
Provide deep technical mentorship to senior and staff engineers; raise the engineering bar across the team through code review, design review, and hands-on collaboration.
Influence technical strategy across adjacent teams.