Acceler8 Talent
Linkedin · Posted 2mo ago
Software Engineer
Continue to application
Add your email once, then Caio opens the original posting.
Indexed description
🚀 GPU Infrastructure / Performance Engineer
📍 London (Onsite) | 🌍 Visa Sponsorship + Relocation
Join a frontier AI company backed by NVIDIA, building large-scale open-weight foundation models alongside researchers and engineers from DeepMind, OpenAI, Meta, Anthropic, and Google Brain.
⚡ What You’ll Do
- Optimise GPU performance and training efficiency across 1,000+ GPU clusters
- Improve utilisation, throughput, and reliability across distributed training infrastructure
- Build tooling for orchestration, monitoring, scheduling, and observability
- Work closely with research teams to accelerate large-scale model training
🔧 What They’re Looking For
- Deep GPU infrastructure / distributed systems experience
- Strong knowledge of CUDA, NCCL, PyTorch, DeepSpeed, JAX, Megatron-LM, vLLM, etc.
- Experience operating large-scale GPU clusters (1,000+ GPUs)
- Kubernetes, Slurm, or similar orchestration expertise
BONUS: Experience working on NVIDIA Blackwell chips (B200, B300, GB200, GB300)
💰 Package
- Salary open to candidate expectations
- Meaningful startup equity
- Full visa sponsorship + relocation support
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search
Want help applying to roles like this?
Search Caio for free. If CV tailoring and application tracking get heavy, Full Caio Agent adds a human specialist.
View Full Agent
