--- title: 'Senior Software Engineer Together Cloud Infrastructure at Together AI' canonical: 'https://feeny.ai/job/senior-software-engineer-together-cloud-infrastructure-together-ai-amsterdam-4vr1g2b9nt2y' type: 'job' last_seen: '2026-09-04' --- # Senior Software Engineer Together Cloud Infrastructure at Together AI - **Company:** Together AI - **Location:** Amsterdam, Netherlands - **Posted:** 2026-01-20 - **Last confirmed live:** 2026-09-04 - **Apply:** https://job-boards.greenhouse.io/togetherai/jobs/5028862007 ## 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 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 - [Senior Software Engineer — Infra Agent Systems UK](https://feeny.ai/job/senior-software-engineer-infra-agent-systems-uk-together-ai-london-bxf797ge7pxk) — London, United Kingdom - [Senior Software Engineer — Infra Agent Systems Remote India](https://feeny.ai/job/senior-software-engineer-infra-agent-systems-remote-india-together-ai-india-4y1jwwt42nqs) — India - [HR Coordinator- Amsterdam](https://feeny.ai/job/hr-coordinator-amsterdam-together-ai-amsterdam-e41wg9k2gakq) — Amsterdam, Netherlands - [Staff Software Engineer, Inference / Compute Infrastructure Engineering](https://feeny.ai/job/staff-software-engineer-inference-compute-infrastructure-engineering-together-5j8djmf3gdbk) — London, United Kingdom - [Junior/Senior or Staff Software Engineer, Inference / Compute Infrastructure Engineering](https://feeny.ai/job/junior-senior-or-staff-software-engineer-inference-compute-infrastructure-r7v2vs22snvc) — India - [Junior/Senior/Staff Software Engineer, Inference / Compute Infrastructure Engineering](https://feeny.ai/job/junior-senior-staff-software-engineer-inference-compute-infrastructure-8c2tjkm8p078) — Amsterdam, Netherlands - [Manager, International Cloud Sourcing](https://feeny.ai/job/manager-international-cloud-sourcing-together-ai-san-francisco-csr7txam979a) — San Francisco, CA - [Senior Product Manager, Model APIs & Developer Experience](https://feeny.ai/job/senior-product-manager-model-apis-developer-experience-together-ai-san-francisco-9k7297rxmar1) — San Francisco, CA - [Strategic Finance Senior Associate - Compute](https://feeny.ai/job/strategic-finance-senior-associate-compute-together-ai-san-francisco-wj1kj7w3vds8) — San Francisco, CA - [Senior University Recruiting Program Manager](https://feeny.ai/job/senior-university-recruiting-program-manager-together-ai-san-francisco-9mybqeaaqng0) — San Francisco, CA