# Senior Deep Learning Engineer

**Company**: Cosmos World Foundation
**Location**: UK
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/UK-Remote/Senior-Deep-Learning-Engineer_JR2013341?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_80649061-781

## Description

We are looking for a Senior Deep Learning Engineer to help bring Cosmos World Foundation Models from research into efficient, production-grade systems. You'll focus on optimising and deploying models for high-performance inference on diverse GPU platforms.

This role sits at the intersection of deep learning, systems, and GPU optimisation - working closely with research scientists, software engineers, and hardware experts.

NVIDIA Cosmos is a platform purpose-built for physical AI, featuring powerful generative models. Developers use Cosmos to accelerate physical AI development for autonomous vehicles (AVs), robots, and video analytics AI agents by simulating and reasoning about the physical world.

### Responsibilities

- Improve inference speed for Cosmos WFMs on GPU platforms.

- Effectively carry out the production deployment of Cosmos WFMs.

- Profile and analyse deep learning workloads to identify and remove bottlenecks.

### Requirements

- 5+ years of experience.

- MSc or PhD in CS, EE, or CSEE or equivalent experience.

- Strong background in Deep Learning.

- Strong programming skills in Python and PyTorch.

- Experience with inference optimisation techniques (such as quantisation) and inference optimisation frameworks, one of: TensorRT, TensorRT-LLM, vLLM, SGLang.

### Ways to stand out from the crowd

- Familiarity with deploying Deep Learning models in production settings (e.g., Docker, Triton Inference Server).

- CUDA programming experience.

- Familiarity with diffusion models.

- Proven experience in analysing, modelling, and tuning the performance of GPU workloads, both inference and training.

## Skills

### Required
- Deep Learning
- Python
- PyTorch
- TensorRT
- TensorRT-LLM
- vLLM
- SGLang

### Nice to have
- Docker
- Triton Inference Server
- CUDA
- Diffusion models

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/UK-Remote/Senior-Deep-Learning-Engineer_JR2013341?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)