---
title: 'Senior Software Engineer - AI Compute, Together Cloud at Together AI'
canonical: 'https://feeny.ai/job/senior-software-engineer-ai-compute-together-cloud-together-ai-amsterdam-4vr1g2b9nt2y'
type: 'job'
last_seen: '2026-11-06'
---

# Senior Software Engineer - AI Compute, Together Cloud at Together AI

- **Company:** Together AI
- **Location:** Amsterdam, Netherlands
- **Posted:** 2026-01-20
- **Last confirmed live:** 2026-11-06
- **Apply:** https://job-boards.greenhouse.io/togetherai/jobs/5028862007

## Job description

## 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](https://www.together.ai/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.

Application Policy

Please read each role carefully and apply to the position best suited to you. Candidates are limited to 6 applications within a 90-day period, and applications beyond that limit will be automatically rejected. You may apply to additional roles 90 days after your last application.

## 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 athttps://www.together.ai/privacy

## About Together AI

## Company Overview
- **One-liner**: Together AI is the AI Native Cloud, a full-stack platform for production AI that provides inference, fine-tuning, and GPU compute powered by cutting-edge systems research.
- **Entity Type**: Private (Series C)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2022
- **Founders**: Vipul Ved Prakash (CEO), Ce Zhang (CTO), Tri Dao (Chief Scientist), Chris Ré, Percy Liang

## Core Business
- **Primary industry**: AI Infrastructure / Cloud Computing
- **Target customers**: B2B – AI-native startups (e.g., Cursor, Decagon, Eleven Labs), enterprise SaaS (Salesforce, Zoom, Zomato), and AI researchers.
- **Mission**: “Significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models” — with a commitment to open and transparent AI development.

## Products & Services
- **Serverless Inference**: Fast on-demand inference for open-source models with no infrastructure management.
- **Batch Inference**: Asynchronous processing of massive workloads (up to 30B tokens per model) at reduced cost.
- **Dedicated Model Inference**: Deploy models on dedicated GPU infrastructure for speed and control.
- **Dedicated Container Inference**: GPU infrastructure optimized for generative media (video, audio, image).
- **Fine-Tuning**: Fine-tune open-source models using latest research techniques (improves accuracy, reduces hallucinations).
- **Accelerated Compute**: Self-serve instant clusters to thousands of GPUs, optimized with Together Kernel Collection.
- **Model Shaping**: Tools to accelerate inference, model shaping, and pre-training.
- **Managed Storage**: High-performance object storage and parallel filesystems with zero egress fees.
- **Sandbox**: Fast, secure code sandboxes for AI app/agent development environments.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed; recent Series C reportedly doubled valuation (amount undisclosed) [cbinsights.com](https://www.cbinsights.com/company/together-4)
- **Key Metric**: **Total Funding** – $1.334B (including $800M Series C announced in mid-2026) [cbinsights.com](https://www.cbinsights.com/company/together-4)
- **Notable Investors/Partners**: Kleiner Perkins, NVIDIA, Salesforce Ventures, Prosperity7 Ventures (Aramco), and 29+ others across rounds.
- **Growth Signals**: 
  - Headcount grew 91% YoY to ~280 employees [linkedin.com](https://www.linkedin.com/company/togethercomputer)
  - Acquired CodeSandbox (Dec 2024) and Refuel.AI (May 2025)
  - Customers include Cursor, Decagon, Eleven Labs, AI21, Hedra, Cartesia, Salesforce, Zoom, Zomato
  - Published nine papers at ICML 2026; open-sourced ParallelKernelBench

## Competitive Advantages
- **Full-stack AI platform** covering inference, fine-tuning, compute, storage, and sandboxes — all integrated.
- **World-class research team** co-designing algorithms, kernels, and hardware (e.g., Tri Dao, co-inventor of FlashAttention).
- **Open-source commitment** and contributions (models, datasets, research) build developer trust and ecosystem lock-in.
- **Cost performance**: Claims 2x faster inference and 60% lower cost vs. alternatives through research-driven optimizations.

## Strategic Focus
- Accelerate the shift to open-source AI by making it economically viable at scale.
- Continue investing in systems research (GPU programming, kernel optimization, model shaping) to improve performance and cost.
- Expand enterprise adoption through dedicated deployments and partnerships.
- Grow the platform’s capabilities (e.g., managed storage, sandboxes) to reduce friction for AI-native builders.

## Why Work Here
- **Culture**: Values include “Do more with less,” “Open and responsible development,” “Empower innovation,” and “Optimizers” — a research-driven, mission-oriented environment.
- **Remote/Hybrid/Office**: Primarily office-based in San Francisco (251 Rhode Island Street) with employees across 16 countries. Office perks include lunch, dinner, snacks, parking/transit stipends, and relocation support.
- **Benefits**: Competitive salary and equity, 401K matching, health/dental/vision insurance, flexible PTO, generous parental leave, life and disability protection.
- **Engineering Culture**: Deep focus on systems research and open-source; engineers work alongside leading AI researchers (e.g., Tri Dao, Ce Zhang). Talent sourced from Apple, Google, Amazon, NVIDIA, Stanford AI Lab.
- **Career Growth**: 53 active job postings (as of mid-2026); roles span ML engineering, platform engineering, research, and go-to-market. High growth trajectory offers rapid advancement.

## Sources
1. [together.ai/about-us](https://www.together.ai/about-us)
2. [together.ai/](https://www.together.ai/)
3. [together.ai/careers](https://www.together.ai/careers)
4. [linkedin.com/company/togethercomputer](https://www.linkedin.com/company/togethercomputer)
5. [cbinsights.com/company/together-4](https://www.cbinsights.com/company/together-4)

## Other roles at Together AI

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- [Event & Field Marketing Specialist](https://feeny.ai/job/event-field-marketing-specialist-together-ai-san-francisco-nge6b7exjfwk) — San Francisco, CA
- [(Senior/Junior AI Inference Reliability Engineer, Compute Infra](https://feeny.ai/job/senior-junior-ai-inference-reliability-engineer-compute-infra-together-ai-san-ezx2bg8b6zje) — San Francisco, CA
- [Senior Recruiter, G&A](https://feeny.ai/job/senior-recruiter-g-a-together-ai-san-francisco-h3zvr47skd5r) — San Francisco, CA
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