Training / AI Infrastructure
Genesis · London · Full-time
Description
What You’ll Do Drive down wall-clock time to convergence by profiling and eliminating bottlenecks across the foundation model training stack stack, from data pipelines to GPU kernels Design, build, and optimize distributed training systems (PyTorch) for multi-node GPU clusters, ensuring scalability, robustness, and high utilization Implement efficient low-level code (CUDA, cuDNN, Triton, custom kernels) and integrate it seamlessly into high-level training frameworks Optimize workloads for hardware efficiency: CPU/GPU compute balance, memory management, data throughput, and networking Develop monitoring and debugging tools for large-scale runs, enabling rapid diagnosis of performance regressions and failures What You’ll Bring Deep experience in distributed systems, ML infrastructure, or high-performance computing (8+ years) Production-grade expertise in Python Low-level performance mastery: CUDA/cuDNN/Triton, CPU–GPU interactions, data movement, and kernel optimization Scaling at the frontier: experience with PyTorch and training jobs using data, context, pipeline, and model parallelism System-level mindset with a track record of tuning hardware–software interactions for ma…
View full original posting → Source: Arbeitnow
How to apply
- Read the description and requirements and check the location and pay.
- Click “Apply now” on this page. If you do not have a free account yet, create one — it takes about a minute.
- Keep your phone on and your CV or details ready, so the employer can reach you.
- You can also open the original posting (link above) to see how the employer prefers applications.
- Never pay money to get a job. Report any listing that asks you to.
Questions about this job
Where is this Training / AI Infrastructure job located?
The listing places this job in London.
Who is hiring?
The employer shown on the listing is Genesis.
What is the salary?
The listing does not state a salary. Ask the employer about pay, overtime and payment dates before accepting.
Is it full-time or part-time?
The listing type is Full-time.
When was this job posted?
It was posted on 2 November 2026. Jobs that stay open too long are closed automatically, so apply soon if you are interested.
How do I apply?
Read the description and requirements, then click Apply now on this page (a free account is needed). You can also open the original posting to see how the employer takes applications.
Do I have to pay to apply?
No. Applying on Get Mazdoor is free, and a genuine employer does not ask for money to apply or for a "registration" or visa fee before an offer. If anyone asks you to pay, do not.
More jobs in London
Similar Engineering & Research jobs
Browse more: Jobs in London · Engineering & Research jobs · All jobs in Pakistan
