Senior Backend Engineer, Together AI
Together Cloud
$160-230k
Plus equity
4 days a week in office
Cloud platform for building generative AI
Posted today
Cloud platform for building generative AI
101-200 employees
Posted today
$160-230k
Plus equity
4 days a week in office
101-200 employees
Company mission
To empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Our take
Founded in 2022, Together AI is a research-driven AI company that operates a cloud platform for building and running generative AI. The company also contributes to open-source research, models and datasets to advance the use of machine learning.
Together AI's platform enables developers, researchers and businesses to train, fine-tune and deploy generative AI for their needs. With Generative AI gaining a lot of attention recently, the company has some high-profile competitors such as ChatGPT, but its focus on research makes it stand out.
The company has an incredibly strong start, evidenced by its substantial funding and Unicorn status. It is using these funds to expand its AI Acceleration Cloud product and prepare a large deployment of its GPUs, all while securing its position as an open-source model-building platform.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Feb 2025
$305m
SERIES B
Mar 2024
$106m
SERIES A
Total funding: $533.5m
Company benefits
- Competitive health insurance plans
- Dental and vision insurance
- Pre-tax flexible spending accounts
- Mental health support and services
- Income protection & retirement
- 401(k) plan
- AD&D insurance
- Life insurance
- STD & LTD insurance
- Monthly team lunches
- Flexible time off policy
- Team-driven celebrations and events
- Monthly commuting stipend + pre-tax bene
Company HQ
Design District, San Francisco, CA
Leadership
Ce Zhang
(Co-Founder & CTO)Previously Professor at ETH Zurich, Postdoc Researcher at Stanford University and Research Assistant at University of Wisconsin-Madison.
Vipul Ved Prakash
(Co-Founder & CEO)Previously Senior Director at Apple, CEO and CTO at Topsy and Founder at Cloudmark.
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