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Nexthop AI

Software Engineer

Reposted 2 Months Ago
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Hybrid
Dublin, IRL
Senior level
Hybrid
Dublin, IRL
Senior level
Design, implement, test, and review software across the stack to build and optimize AI infrastructure. Collaborate with engineers, support customers through scoping, proofs-of-concept, trials, and production escalation, and help shape company culture and processes in a fast-paced startup.
The summary above was generated by AI

Experience:  We are hiring talented engineers at all the experience levels
Employment Type: Full-Time

Residency Requirements: EU/UK/Swiss citizenship or a stamp 4 visa.

Build the Infrastructure of the AI Era:

With the AI infrastructure market eclipsing $200B and networking representing 20% to 30% of data center investment, traditional architectures are hitting fundamental scaling boundaries. Backed by $610M+ from Lightspeed Venture Partners and Andreessen Horowitz, Nexthop AI is positioned at the epicenter of this shift. As a Software Engineer, you will build next-generation ultra-low-latency network stacks and high-availability distributed systems powering global AI data centers. Working at the critical convergence of low-level systems software, open-source networking, and hardware-software co-design, you will take end-to-end ownership of mission-critical platform components and shape the core technology driving the AI revolution.

What you’ll build, own and achieve:

  • Architect and ship production-grade software across core networking and distributed systems using C, C++, Python, and open-source stacks like SONiC.
  • Drive hardware-software co-design to optimize packet processing, congestion control, and ASIC memory management for massive AI workloads.
  • Own platforms and  features across their full lifecycle from initial architectural trade-offs, bring ups to deployment and high-availability operational support in global AI data centers.
  • Design ultra-low-latency telemetry, monitoring pipelines and automated fault recovery systems to ensure resilience across multi-tenant fabric environments.
  • Translate ambiguous customer requirements into scalable technical designs, actionable implementation plans, and clear performance metrics.
  • Build specialized automation and CI pipelines tailored for low-level systems, accelerating test, debug, and release cycles.
  • Partner directly with customers and internal hardware/product teams during trials, production bring-up, and technical escalations. 

Required Skills:

  • Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.
  • Strong programming ability in one or more of C, C++, and Python.
  • Solid understanding of systems software, distributed systems, operating systems, or embedded systems.
  • Strong problem-solving and debugging skills, with the ability to break down complex technical problems.
  • A track record of taking ownership from asking the right questions through implementation, validation, and follow-through.
  • Comfort working in a fast-moving environment where priorities evolve and engineers are expected to contribute beyond a narrowly defined box.

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