Staff Software Engineer, Inference / Compute Infrastructure Engineering London or Amsterdam
Together AI · London & Amsterdam · London
CHECKED 3H AGO
Infrastructureonsitestaff
At a glance
Highlights
- Build Kubernetes-native control plane for GPU inference fleet provisioning.
- Design manifest-driven API that hides runtime and hardware complexity.
- Engineer defrag and bin-packing to squeeze more capacity from GPUs.
Ideal candidate
Product-minded platform engineer who builds self-service infrastructure as software and owns it in production. You care about developer experience, automation, and squeezing efficiency from large-scale systems.
Requirements
- Strong software engineering background in Go, Python, Rust, or similar
- Experience with durable workflow orchestration tools such as Temporal, Cadence, or equivalent
- Experience building software control planes or orchestration systems that model state and reconcile it over time
- Experience with event-driven systems around message queues, event streams, or pub/sub (e.g., Kafka, NATS, SQS)
- Product mindset with experience building internal platforms or APIs consumed by other engineering teams
Lab profile
About Together AI
AI-native cloud for training and inference on large-scale GPU infrastructure for AI apps and agents.
What they build
- AI-native cloud platform
- GPU clusters for training and inference
- Platform for AI applications and agents
Known for
- Operating large-scale GPU fleets
- Automated infrastructure at massive scale
- Multi-site data center deployment
Key facts
- Over 1M developers
- Operates one of the world's largest GPU fleets
- Infrastructure managing tens of thousands of GPUs