×
Register Here to Apply for Jobs or Post Jobs. X

Senior Back-End Network Engineer - AI Infrastructure Operations

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Nscale
Full Time position
Listed on 2026-07-06
Job specializations:
  • IT/Tech
    Network Engineer, SRE/Site Reliability, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 100000 - 165000 USD Yearly USD 100000.00 165000.00 YEAR
Job Description & How to Apply Below

About Nscale

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.

About

The Role

Within Nscale, the Network Operations team is responsible for the performance and reliability of the high-speed interconnect fabrics that underpin our AI and HPC platforms. These networks are critical to distributed training and inference workloads and demand a deep operational focus.

We’re looking for a Senior Network Engineer – AI Infrastructure to join our Network Operations team.

In this role, you will be responsible for the day-to-day health, stability, and performance of Nscale’s large-scale Infiniband and RDMA over Converged Ethernet (RoCE) fabrics. You’ll bring deep operational expertise from high-performance or hyperscale environments and play a key role in incident response, performance tuning, and continuous improvement of latency-sensitive AI networking systems.

What You ll Be Doing
  • Owning the operational health, configuration consistency, and performance tuning of large-scale Infiniband and RoCE fabrics supporting AI and HPC workloads
  • Leading the diagnosis and resolution of complex network incidents (P0/P1), spanning firmware, kernel drivers, switch hardware, and application or middleware layers
  • Driving blameless postmortems and implementing preventative fixes to improve long-term fabric stability and availability
  • Partnering with SREs to define requirements for automation and tooling, and contributing where appropriate to network provisioning, validation, and monitoring systems
  • Collaborating with Network Architecture and Engineering teams to validate fabric designs and enforce standards for routing, congestion control, and firmware baselines
  • Monitoring fabric utilisation and performance, identifying bottlenecks, and tuning for congestion, microbursts, and predictable latency
  • Acting as a subject matter expert for cross-functional teams on high-speed networking, RDMA behaviour, and fabric-level performance characteristics
  • Participating in an on-call rotation supporting mission-critical, customer-facing infrastructure
About You
  • 5+ years of experience in network engineering, with at least 3 years operating HPC or large-scale AI interconnect networks
  • Deep, hands-on operational experience with Infiniband and/or modern RoCE deployments
  • Expert understanding of RDMA concepts, protocols, and troubleshooting techniques
  • Strong fundamentals in data centre networking, including TCP/IP, BGP, OSPF, and leaf-spine architectures
  • Proven ability to troubleshoot complex network issues using Linux-based tooling and fabric diagnostics
  • Proficiency in Python, Go, or shell scripting for automation, data analysis, or configuration management
  • Experience working in a 24/7 operational environment with a strong focus on reliability and toil reduction
Nice to Have
  • Experience operating NVIDIA/Mellanox Spectrum switches and ConnectX NICs at scale
  • Familiarity with AI or ML training workflows and the impact of network performance on distributed frameworks
  • Experience with network observability and telemetry systems such as streaming telemetry, sFlow, Prometheus, or Grafana
  • Knowledge of GPU communication libraries such as NVIDIA NCCL
What We Can Offer You

At Nscale, you ll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We re building something extraordinary, and we want you at the core.

  • Highly competitive package (base + equity) with reviews every 12…
Position Requirements
10+ Years work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary