System Architect- Infrastructure and Platform

Ra'anana, Israel | Hybrid

About DriveNets

DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. Founded in 2016, the company created a radical new way to build networks that substantially improves the network’s economic model and optimizes its utilization and efficiency.

DriveNets Network Cloud powers production networks for global tier-1 operators such as AT&T, Comcast and KDDI, and carries the majority of AT&T’s core backbone traffic. DriveNets AI Fabric, introduced in 2023, provides the highest-performance Ethernet-based AI networking solutions and the best Ethernet alternative to InfiniBand. It is used by hyperscalers, NeoClouds, and foundation model labs, and is sold in collaboration with partners like AMD and Broadcom. In June 2026, DriveNets closed a $410 million Series D round, bringing its total capital raised to $1 billion. The company has more than $1 billion in secured business.

The Role

System Architect role overview

• Own the system architecture of DNOS, DriveNets’ hyper-scale router software, for both service-provider and AI data-center networks.
• Turn product requirements into specs that dev teams (or the AI SDLC pipeline) can implement and QA can test.

Infrastructure and platform track: You define the hardware platform, host OS, security and system management of a high-scale distributed system. This includes boot and firmware, resource management, upgrades, high availability, configuration and operations.

Responsibilities

Architecture and specification

• Define system requirements and lead architectural design across the routing, data path and infrastructure domains.
• Define management interfaces (YANG, CLI config and show commands, SNMP, system events), operational behavior, and scale and HA expectations.
• Own each spec from requirement through implementation, and maintain the architecture docs for your areas.

AI SDLC

• Own the SysArch stage of Product → SysArch → Dev → QA.
• Write specs, harness context and acceptance criteria so epics can run through the AI pipeline.

Technical leadership

• Drive spec and design reviews, and guide engineers through design decisions.
• Establish design standards that improve resilience, security and efficiency at scale.
• Ensure cross-domain consistency: review interactions such as memory management and HA, upgrades, and data path/HAL, and keep CLI and YANG conventions uniform.
• Lead work groups, analyze and presents complex topics clearly to engineering, Product management and customers.

Customer and product

• Translate product strategy and requirements into engineering specs, and help prioritize them.
• Engage directly with customers to present the NOS architecture.
• Understand customer asks and translate them into architecture options, with effort and risk assessments for Product.

Architects on the infrastructure track also own the hardware and platform specifications that DNOS depends on:

• Platform management: hardware monitoring, components health, cluster topologies, deployment and upgrade, with aligned specs for each new hardware platform
• System boot and firmware: UEFI/BIOS, ONIE, BMC, boot failover and in-service firmware update
• Optical transceivers: optics support and qualification, transceiver management (CMIS), monitoring (DOM), breakout and port mapping
• Timing and synchronization support (IEEE 1588v2)
• Platform and system security: hardware root of trust (TPM), secure and measured boot, key and certificate management, secure management protocols (ssh, tls) and system hardening
• Secure bootstrap and provisioning: zero-touch provisioning (SZTP), device identity and provisioning of platform security artifacts such as keys, certificates and trust anchors
• Host operating system: kernel, OS services
• System resource management: allocation, isolation, monitoring and protection of system resources under scale and HA

Requirements

Mandatory skills

• BSc in CS or EE.
• 4–5 years as a software technical leader, plus 2–3 years in system architecture.
• Proven record of leading technical efforts across teams in a matrix organization.
• Strong analytical thinking and problem-solving capabilities.
• Strong presentation skills, both with customers and internally.
• Hands-on use of agentic AI flows for research, spec writing and review.
• Experience designing and developing highly complex HW/SW systems, such as NOS infrastructure and large-scale distributed systems, including HA, upgrade and configuration management.
• Knowledge of and experience with HW and platform specs such as timing (PTP/SyncE), TPM, secure and measured boot, UEFI/BIOS and firmware management.
• Host OS internals and system resource management.
• Security standards and practices: PKI, secure bootstrap (SZTP), secure management protocols, AAA and hardening.

Advantages

• Experience at telco or networking companies (major advantage).
• Software development experience on highly complex systems.
• Familiarity with both AI data-center and service-provider network architectures, since the platform serves both.
• Optical transceiver management (an advantage).