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.
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.
Similar Jobs
Financial Services
Design, develop, test, and support scalable Java payment applications using reactive programming, Kafka, AWS, microservices, and REST APIs. Build secure, event-driven services supporting payment authorization, settlement, reconciliation, and exception handling. Contribute to CI/CD, automated testing, observability, performance tuning, production incident response, and root-cause analysis. Collaborate across product, architecture, operations, risk, and engineering teams, while exploring AI-enabled payment and developer productivity solutions.
Top Skills:
Ai/MlApache KafkaApi GatewayAWSCi/CdCloudwatchDistributed SystemsDockerDynamoDBEcsEksIamJavaKubernetesLambdaMicroservicesProject ReactorRdsRest ApisRetrieval-Augmented GenerationSnsSpring WebfluxSqs
Big Data • Cloud • Software • Database
Build and lead delivery of Kubernetes-native capabilities for MongoDB, including APIs, operators, and platform features. Design distributed systems, translate MongoDB functionality into declarative Kubernetes APIs, mentor engineers, resolve complex customer issues, and improve testing, releases, and developer experience. The role requires strong software engineering skills, deep Kubernetes expertise, production distributed-systems experience, and the ability to lead projects through ambiguity.
Top Skills:
Admission WebhooksAWSController-RuntimeCustom Resource Definitions (Crds)Distributed SystemsGoGCPKubebuilderKubernetesKubernetes ApiKubernetes ControllersKubernetes OperatorsAzureMongoDBMongodb AtlasMulti-Cluster KubernetesService Mesh
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Develop and maintain large-scale backend services for CrowdStrike’s Kestrel UI foundation. Responsibilities include distributed systems design, API development, testing, deployment, debugging, performance and observability improvements, cross-team collaboration, mentoring, requirements implementation, and on-call support. The role requires expertise in scalable backend architecture, resilient engineering practices, continuous integration, and production software delivery using Go, Python, cloud, and distributed data technologies.
Top Skills:
AWSCassandraGitGo (Golang)KafkaKubernetesOpensearchPostgresPythonRedis
What you need to know about the Dublin Tech Scene
From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.
