Principal Back-End Network Engineer - AI Infrastructure Operations

NSCALE, LLC
Houston, TX, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$150,000.0 - $215,000.0
Working hours
Regular working hours
Job source

Tech stack

LTE (Telecommunication) Artificial Intelligence Computing Platforms Border Gateway Protocol Computer Clusters Complex Networks Network Congestion Data Centers Software Debugging Distributed Computing Environment Firmware Monitoring of Systems
+10 more
InfiniBand Network Architecture Routing Open Shortest Path First (OSPF) Remote Direct Memory Access Reliability Engineering AI Infrastructure Computer Network Operations High Performance Computing Backend

Job description

The Network Operations and Engineering teams at Nscale operate some of the most demanding networking environments in the industry, supporting tightly coupled GPU clusters where network performance directly impacts customer outcomes.

We’re looking for a Principal Network Engineer - AI Infrastructure to provide technical leadership across Nscale’s high-speed networking domain.

This role is focused on owning the reliability, scalability, and long-term evolution of our Infiniband and RDMA-based network fabrics. You will operate as a technical authority, influencing architecture, standards, and operational practices across teams while tackling the most complex network challenges in the platform.

What You’ll Be Doing Owning the technical direction and operational strategy for Nscale’s AI interconnect networks Designing, reviewing, and evolving large-scale Infiniband and RoCE fabric architectures to support future growth and workload demands Acting as the senior escalation point for the most complex network incidents, guiding deep technical investigations and systemic fixes Driving cross-team initiatives to improve fabric reliability, performance predictability, and operational maturity Defining standards for hardware configuration, congestion control, routing, firmware lifecycle management, and change safety Partnering with SRE, Compute Platform, and Network Architecture teams to influence end-to-end system design Mentoring senior and mid-level network engineers, raising the bar for operational rigor and technical excellence

  • Driving measurable improvements in uptime, latency consistency, capacity efficiency, and incident reduction

Requirements

Do you have experience in Telecommunications network troubleshooting?, 10+ years of experience in network engineering, with deep focus on HPC, AI, or hyperscale data centre networking Expert-level operational and architectural experience with Infiniband and/or large-scale RoCE fabrics Deep understanding of RDMA internals, congestion management, and fabric-level failure modes Strong expertise in modern data centre routing and control planes (BGP, OSPF, ECMP) Proven ability to debug and resolve cross-layer issues spanning hardware, firmware, kernel, and application communication libraries Demonstrated ability to lead complex technical initiatives across teams without direct authority

  • A systems-level mindset, balancing performance, reliability, scalability, and operational cost, Extensive experience with NVIDIA/Mellanox networking platforms in production AI or HPC environments Deep familiarity with distributed training frameworks and GPU communication patterns Experience designing network observability systems for high-cardinality, high-throughput environments

  • Prior experience influencing platform or infrastructure strategy at scale

Benefits & conditions

  • Highly competitive package (base + equity) with reviews every 12 months.
  • Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI.
  • Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.

About the company

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future.

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