Senior Foundation Model Engineer: CUDA&Distributed Systems

PulseRise Technologies; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

PulseRise Technologies is seeking a Senior ML Engineer to own the end-to-end design, training, and deployment of a novel foundation model. You will build custom CUDA kernels, scale distributed training and inference on cloud platforms, and create tooling to accelerate the team's velocity in a high-urgency, early-stage environment.

You will work closely with founders against real production SLOs, shaping technical direction and delivering fast, high-ownership solutions in a hands-on role.

Qualifications

• Shipped a large-scale foundation model in a high-growth AI/ML startup or top-tier lab.
• Designed and implemented custom CUDA kernels for model optimization (CUDA C/C++ and Python).
• Scaled distributed training and/or inference pipelines on cloud infrastructure (AWS, Azure, or GCP).
• Deep knowledge of a major DL framework, ideally PyTorch; familiarity with MoE or state-space models.
• Hands-on ownership of ML systems with production SLAs.
• Built internal tooling or infrastructure to accelerate a team's productivity.
• Able to deliver quickly in ambiguous, fast-paced environments.
• Fluent English.

Responsibilities

• Architect and implement a large-scale foundation model from research to production deployment.
• Design and write custom CUDA kernels to optimize model performance where off-the-shelf libraries fall short.
• Build and scale distributed training and inference pipelines on cloud infrastructure.
• Profile, debug, and optimize deep learning models for latency, throughput, and reliability against production SLAs.
• Build internal tooling and infrastructure to accelerate the team's iteration speed.
• Work directly with the founders to make fast, high-ownership technical decisions in an ambiguous, high-urgency environment.
• Take hands-on technical leadership as the team scales, helping set technical direction for the model and its infrastructure.

Skills

Shipped a large-scale foundation model

CUDA kernel design

Distributed training & inference

PyTorch

Cloud infrastructure (AWS/Azure/GCP)

ML systems ownership

Fast delivery in ambiguity

Fluent English

Tools

CUDA

PyTorch

AWS

Azure

GCP

Job description

PulseRise Technologies is seeking a Senior ML Engineer to own the end-to-end design, training, and deployment of a novel foundation model. You will build custom CUDA kernels, scale distributed training and inference on cloud platforms, and create tooling to accelerate the team's velocity in a high-urgency, early-stage environment.

You will work closely with founders against real production SLOs, shaping technical direction and delivering fast, high-ownership solutions in a hands-on role.