Senior Software Engineer - AI Compute, Together Cloud

Fdetimes; Amsterdam; Híbrido; EUR 120.000 - 180.000; Jornada completa

Descripción de la vacante

Together AI is building the AI Native Cloud, a scalable platform for the generative AI lifecycle, with a focus on high-performance GPU compute, virtualization, and global multi-datacenter deployment. The Senior Software Engineer will own major components across the cloud infra, drive end-to-end development, and contribute to open-source Together AI projects.

As part of the Together Cloud org, you will work on automated bootstrapping, virtualization, and fault-tolerant control planes,

Formación

• 5+ years of professional software development experience.
• Proficiency in at least one backend language (Golang preferred).
• Experience building and operating micro-service architectures across cloud providers (AWS, Azure, GCP).
• Strong systems knowledge across compute, networking, and storage, including concurrency and high-performance I/O.
• Excellent communication skills for design docs and cross-team collaboration.

Responsabilidades

• Build the GPU and network virtualization stack for high performance and isolation.
• Develop and maintain in-DC IaaS layer, including VMs, storage, and networks.
• Scale the distributed GPU scheduling and global management plane.
• Harden monitoring and automated remediation for fault tolerance.
• Own components end-to-end from design to GA launch.
• Mentor junior engineers and contribute to code reviews.
• Develop tooling and docs to support other teams and open-source ecosystem.

Conocimientos

Backend Golang

Distributed systems

Kubernetes

Cloud platforms

System design

Herramientas

Terraform

Ansible

Prometheus

Grafana

GitHub Actions

ArgoCD

Descripción del empleo

About the Role

Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the Together GPU Clusters flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products.

As a Senior Software Engineer focusing on AI Compute in the Together Cloud org, you will build and own major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware: GB300s/VRs, BlueField DPUs, InfiniBand and dual/quad-plane RoCEv2 fabrics. That virtualized computing platform powers our own SaaS products – inference, RL, and fine-tuning – and serves external cloud customers through self-serve offerings such as on-demand/reserved Kubernetes/Slurm clusters, across dozens of data centers and hundreds of thousands of GPUs.

The hard problems in rapidly scaling heterogeneous GPU fleets are software problems: fully automated bootstrapping of GPU data centers, high-performance virtualization of GPU compute and DC networking without compromising isolation or portability, and fault-tolerant decentralized control planes. We solve them by building global and in-DC services, Kubernetes operators, and high-performance SDN libraries, forking hypervisors and Linux kernels, and building infra tailored to inference and fine-tuning. You'll own massive greenfield projects across their full lifecycle – scoping the problem and writing PRDs with our PMs, designing the system, and building it through to GA launch.

Responsibilities

• Build the GPU and network virtualization stack: the hypervisor, kernel, and SDN work that makes GPU compute and DC networking high-performance, portable, and strongly isolated across heterogeneous hardware.
• Build and maintain our in-DC IaaS layer: the services, Kubernetes operators, and libraries that provision and manage compute, storage, and networks in our data centers, including VMs, parallel filesystems, VPCs, and InfiniBand partitions. Implement and harden the bring-up path for a new Vera Rubin data center with thousands of GPUs.
• Scale the distributed GPU scheduling and global management plane: the control-plane services behind on-demand and reserved clusters, including the automation that onboards new capacity and raises per-cluster limits.
• Harden the monitoring and automated remediation layer for fault tolerance: automated detection, isolation, and recovery of failed nodes that keeps distributed pretraining and large-scale inference fault-tolerant.
• Own your components end-to-end: write the design docs, break the work into milestones that ship incrementally, and improve the reliability of what's already in production.
• Raise the bar around you: code review, design feedback, and mentoring junior engineers.
• Build the tooling other teams rely on: testing frameworks, developer tools, and documentation that make our systems robust and usable across teams, plus contributions to the core, open-source Together AI platform.

To be successful, you'll need to be deeply technical, ready to own projects truly end-to-end, and an excellent communicator — strong software development fundamentals, strong systems knowledge and troubleshooting instincts, and the collaboration and diplomacy skills to work across teams.

Requirements

• 5+ years of professional software development experience, with strong proficiency in at least one backend programming language (Golang desired).
• Demonstrated ownership of large-scale projects driven end-to-end to completion, writing high-performance, well-tested, production-quality code.
• Demonstrated experience building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP).
• Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale.
• Excellent communication skills — able to write clear design docs and work effectively with both technical and non-technical team members.
• Experience building and operating reliable, customer-facing production systems at scale, and owning the infrastructure automation (Terraform, Ansible), observability (Prometheus, Grafana), and CI/CD (GitHub Actions, ArgoCD) that keep them healthy.

Preferred Qualifications

• Proficiency with Kubernetes internals, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches to Kubernetes itself
• Proficiency with VMs/hypervisors, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV
• Proficiency with DC networking tech + solutions, such as VLAN, VXLAN, VPN, VPC, OVS/OVN
• Experience with Cluster API or similar
• Experience working on high-performance compute, networking, and/or storage
• Experience virtualizing GPUs and/or InfiniBand
• Experience building IaaS or PaaS systems at scale
• Experience with DPUs/SmartNICs
• GPU programming, NCCL, CUDA knowledge

About Together AI

Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy