Principal AI Product Engineer
Nscale is a London-based, full-stack AI cloud and infrastructure company that provides GPU compute, managed AI services, orchestration software, data centers, and power infrastructure for AI training, fine-tuning, and inference.
Maintainer signals as of 9/25/2026
Funding history
About Nscale
Nscale builds and operates vertically integrated AI infrastructure spanning software, GPU compute, networking, storage, purpose-built data centers, and power. Its active cloud platform offers self-service inference endpoints, fine-tuning, managed Kubernetes and Slurm, virtual machines, and GPU clusters.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will define the long-term technical roadmap for inference, evaluations, and post-training. You will lead architecture initiatives, establish engineering standards, measure cost and performance trade-offs, align technical strategy across functions, mentor senior engineers, and represent the technical approach externally.
Requirements
- 10–15 years of engineering experience
- 4+ years of hands-on LLM inference, GPU performance, evaluation, post-training, or RL experience
- Experience defining multi-year strategy for multi-team AI systems
- Deep knowledge of production LLM inference, GPU performance, evaluations, or post-training and RL infrastructure
- Experience architecting large-scale production inference or training platforms
- Knowledge of CUDA or ROCm, accelerator hardware constraints, and distributed computing
- Experience developing technical leaders
Responsibilities
- Define the multi-year technical roadmap for inference, evaluations, and post-training
- Lead large-scale serving, GPU efficiency, evaluation, and RL infrastructure initiatives
- Establish API, benchmarking, evaluation, training stability, and performance-testing standards
- Measure cost, latency, throughput, and model-quality trade-offs
- Identify and resolve long-term technical risks
- Align engineering, research, product, and infrastructure technical strategy
- Mentor Staff and Senior AI Engineers
- Represent the technical approach through open source, publications, talks, and partnerships
Benefits
- Bonus, equity, and/or commission eligibility
- Medical insurance
- Dental insurance
- Vision insurance
- Flexible paid time off
- Parental leave
- Retirement plan participation