Senior Software Engineer - Together Cloud

Logoslabs; San Francisco (CA); Hybrid; USD 160,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Startup equity

Remote-friendly

Job summary

Together AI is building the AI Acceleration Cloud, a scalable platform for the full generative AI lifecycle. You will design, build, and operate high-performance backend services and a global data-center fabric that virtualizes cutting-edge hardware.

The role emphasizes strong software engineering, Kubernetes mastery, and deep system knowledge, with remote-friendly options and competitive compensation including equity.

Qualifications

• 5+ years of professional software development experience in backend systems.
• Proficiency in at least one backend language (Golang preferred).
• Experience building and operating high-performance, globally distributed microservices across cloud providers (AWS/Azure/GCP).
• Excellent communication skills; ability to write design docs for technical and non-technical teams.
• Deep Kubernetes internals experience (operators, plugins, schedulers, patches).
• Deep VM/hypervisor experience (QEMU/KVM, cloud-hypervisor, VFIO, virtio, Kubevirt).
• Deep DC networking knowledge (VLAN, VXLAN, VPN, VPC, OVS/OVN).
• Terraform/Ansible, Prometheus/Grafana, CI/CD (GitHub Actions, ArgoCD) familiarity.
• GPU virtualization, DPUs/SmartNICs knowledge a plus; NCCL/CUDA knowledge a plus.

Responsibilities

• Perform architecture and research work for decentralized AI workloads.
• Contribute to core Together AI platform and services.
• Create tools, documentation, and testing frameworks.
• Support robust fault-tolerance and high-availability operations.

Skills

Golang

Kubernetes

Distributed systems

Networking (DC)

Terraform

Prometheus/Grafana

CI/CD (GitHub Actions)

GPU virtualization

QEMU/KVM

KubeVirt

Infiniband/DPUs

NCCL/CUDA

Tools

QEMU/KVM

KubeVirt

VFIO

Terraform

Ansible

Job description

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.

Some of what you'll work on:

• 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.

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

Responsibilities

• 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

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

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