Director, Network Deployment Engineering

We are seeking a Director of Network & Compute Engineering to lead and scale the teams responsible for the network and compute platforms underpinning Nscale’s GPU cloud infrastructure.

You will define the technical and operational direction for highly available systems spanning data center networking, GPU fabrics, compute infrastructure, platform services, and automation. Working closely with Product Management and engineering leaders, you will translate complex and ambiguous challenges into clear strategies and executable plans.

This is a highly visible leadership role requiring deep infrastructure expertise, strong cross-functional judgment, and the ability to balance long-term platform architecture with immediate business and customer needs.

This position requires up to 50% travel to Nscale offices, data centers, partner locations, and customer sites.

What You’ll Be Doing

• Lead, develop, and scale a high-performing engineering organization responsible for Nscale’s core network and compute platforms.
• Define and execute multi-quarter initiatives that improve deployment velocity, infrastructure reliability, network validation, platform quality, and operational scalability.
• Establish the technical strategy for data center networking, GPU fabrics, compute systems, platform services, and supporting automation.
• Partner with Product Management and engineering leaders to evolve the infrastructure platform as a product, balancing long-term architecture with near-term customer and business requirements.
• Turn ambiguous, high-impact challenges-including platform scalability, vendor integration, infrastructure abstractions, and deployment consistency-into clear execution plans.
• Drive alignment across teams working on complex, interdependent systems spanning networking, compute, internal platforms, infrastructure automation, and developer tooling.
• Establish engineering standards for architecture, validation, observability, change management, reliability, and operational readiness.
• Improve the consistency and quality of network and compute deployments through automation, testing, telemetry, and data-driven decision-making.
• Provide technical and operational leadership during critical infrastructure incidents and complex escalations.
• Partner with hardware manufacturers, network vendors, data center operators, and other strategic partners to deliver infrastructure at scale.
• Build organizational capability through hiring, coaching, succession planning, and the development of engineering leaders.
• Raise the bar for engineering quality, operational excellence, accountability, and execution across the organization.
• Travel up to 50% to support infrastructure deployments, partner engagement, and operational priorities.

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 10+ years of experience leading network, compute, infrastructure, or platform engineering teams.
• Experience operating within a large cloud provider, internet service provider, hyperscale data center, or similarly complex infrastructure environment.
• Experience leading network or compute operations teams responsible for business-critical production environments.
• Demonstrated experience building and scaling engineering teams and delivering complex, multi-quarter infrastructure initiatives.
• Strong understanding of large-scale data center, cloud, network, or compute architecture.
• Ability and willingness to travel up to 50%., * Experience designing or operating high-performance GPU networks using InfiniBand or Ethernet-based RoCE.
• Strong knowledge of networking protocols and technologies including BGP, OSPF, IS-IS, MPLS, TCP/IP, IPv4, IPv6, DNS, DHCP, VPN, and SSL.
• Experience with overlay networking technologies, including VXLAN and EVPN.
• Experience with server and GPU hardware architecture, lifecycle management, and systems management.
• Familiarity with system-level architecture, distributed systems, data synchronization, state management, fault tolerance, and high-availability design.
• Experience with infrastructure automation, scripting, network validation, and data center design.
• Experience implementing network monitoring, observability, and telemetry platforms.
• Broad experience across enterprise storage, networking, compute, and cloud infrastructure.
• Proven ability to resolve complex technical and organizational challenges using sound judgment and creative problem-solving.
• Experience influencing product roadmaps, technical priorities, and platform investment decisions.
• Excellent organizational, written, and verbal communication skills.
• Ability to influence senior stakeholders and create alignment across engineering, product, operations, vendors, and customers.

Nscale is the GPU cloud engineered for AI. We provide high-performance, scalable infrastructure to AI startups and large enterprise customers, reducing the complexity of developing, deploying, and operating AI workloads.

At Nscale, we operate with urgency, ownership, and accountability. We value open communication, practical problem-solving, and engineering excellence as we build the infrastructure powering the future of AI.