Lead Network Software Engineer - Technology Vendor

Join a global software company transforming how AI and cloud infrastructure teams manage modern networks through advanced automation, abstraction, and multi-tenancy designed for next-generation data center environments.

An exciting opportunity has opened for a Lead Software Engineer to join an R&D team building a next-generation network automation platform for AI-driven data centers. The role focuses on designing and developing distributed agents across switches, servers, and DPUs, working on low-level infrastructure that supports large-scale, high-performance network environments, including L2/L3 networking, NAT, and VXLAN systems.

• Lead the design and development of lightweight, high-performance agents written in Golang to configure and manage routing, switching, and overlay networking.
• Build systems for policy enforcement, including NAT (SNAT/DNAT), ACLs, and VXLAN state management across multi-tenant environments.
• Design secure, scalable communication between distributed agents and the central controller using gRPC, streaming, and event-driven models.
• Ensure agent efficiency across heterogeneous environments, including bare-metal servers, network switches, and Smart
  
  NICs/DPUs.
• Develop reliable telemetry and monitoring pipelines while optimizing for a low resource footprint and high resiliency.
• Drive debugging and observability strategies (logs, metrics, tracing) and collaborate closely with control-plane and dataplane teams.
• Mentor engineers and set high standards for code quality, testing, and system design within the R&D team.

• Expert-level Golang proficiency: 5+ years of experience building production‑grade systems or infrastructure‑level software.
• Deep Linux Networking mastery:
  Extensive hands‑on experience with Netlink, name spaces, iptables/nftables, and tc.
• Network Infrastructure knowledge:
  Deep understanding of routing (BGP), switching, VXLAN, EVPN, and NAT implementations.
• Distributed Systems expertise:
  Proven experience building agent‑based architectures and handling complex, real‑world debugging.
• Local Presence:
  Based in Silicon Valley with the ability to work 2‑3 days a week from the Santa Clara office.

• Foundational Impact:
  Build the critical component that interacts directly with physical and virtual network infrastructure for AI data centres.
• High‑Performance Environment:
  Work on the future of automated cloud networking rather than legacy tooling, with exposure to Smart
  
  NICs and DPUs.
• Technical Leadership:
  Hands‑on role with the autonomy to define architecture and mentor an elite team of engineers.
• Rare Opportunity:
  Join a specialized R&D team at the forefront of large‑scale AI infrastructure and “neo‑cloud” development.

• Competitive compensation, based on the candidate’s experience, skills, and location, including stock options and comprehensive benefits.