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EngineeringNot provided by source

Senior Software Engineer Together Cloud Infrastructure

Together AI · Not provided by source

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Last seen by MeritLog September 8, 2026Source: GreenhouseSource version: greenhouse-job-board-v1

MeritLog read this listing from Together AI's Greenhouse job board and last checked it on September 8, 2026.

Source: the employer's Greenhouse job board. Open the original listing for current details.

Job details

Work model
Not provided by source
Salary
Not listed by source
Location
Amsterdam

Hiring context

How this role compares at Together AI

Together AI has 61 live roles in MeritLog’s catalog across 9 job families, and 39 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.

Together AI concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

  • Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning.
  • Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs.
  • Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining.
  • Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining.
  • Perform architecture and research work for decentralized AI workloads
  • Work on the core, open-source Together AI platform
  • Create services, tools, and developer documentation
  • Create testing frameworks for robustness and fault-tolerance

What they're asking for

  • 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired)Experience
  • 5+ years experience writing high-performance, well-tested, production quality codeExperience
  • Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP)Skill
  • Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team membersSkill
  • Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itselfSkill
  • Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOVSkill
  • Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVNSkill
  • Experience with Cluster API or similar a big plusSkill
  • Experience working on high-performance compute, networking, and/or storage a big plusSkill
  • Experience virtualizing GPUs and/or Infiniband a big plusSkill
  • Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scaleSkill
  • Experience with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD)Skill
  • Experience building IaaS or PaaS systems at scale a plusSkillPreferred
  • Experience with DPUs/SmartNICs a plusSkillPreferred
  • GPU programming, NCCL, CUDA knowledge a plusSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior AI Infrastructure Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Hybrid working two days a week in the Amsterdam office. Responsibilities • Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning. • Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs. • Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining. • Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining. • Perform architecture and research work for decentralized AI workloads • Work on the core, open-source Together AI platform • Create services, tools, and developer documentation • Create testing frameworks for robustness and fault-tolerance To be successful, you’ll need to be deeply technical and possess excellent communication, collaboration, and diplomacy skills. You have strong fundamental software development skills. In addition, you have strong systems knowledge and troubleshooting abilities. Requirements • 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired) • 5+ years experience writing high-performance, well-tested, production quality code • Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP) • Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members • Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself • Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV • Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN • Experience with Cluster API or similar a big plus • Experience working on high-performance compute, networking, and/or storage a big plus • Experience virtualizing GPUs and/or Infiniband a big plus • Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale • Experience with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD) • Experience building IaaS or PaaS systems at scale a plus • Experience with DPUs/SmartNICs a plus • GPU programming, NCCL, CUDA knowledge a plus 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

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