# Senior Deep Learning Engineer

**Company**: NVIDIA
**Location**: Redmond
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-WA-Redmond/Senior-Deep-Learning-Engineer_JR2014226?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_44a323d2-d09

## Description

We are now looking for a Senior Deep Learning Engineer to contribute to the development of next-generation inference optimizations targeting frontier workloads including multi-agent AI systems, generative multimodal models, and inference-time compute scaling.

In this role, you will characterise these emerging workloads and develop novel methods to optimise for them across inferencing engines, systems, and hardware architectures. Your work will span multiple tiers of the inference stack from the algorithmic to system level.

As NVIDIA makes significant strides in AI datacentres, our team holds a central role in maximising the efficiency of our exponentially growing inference deployment needs and establishing a data-driven approach to algorithmic improvements, hardware design and system software development.

We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and framework development teams, to silicon architecture. Thriving in such a high-impact, interdisciplinary environment necessitates not only technical proficiency but also a growth mindset and a pragmatic attitude , qualities that fuel our collective success in shaping the future of datacentre technology.

**Responsibilities:**

- Continuously keep up to date on the latest advancements in generative AI research.

- Analyse and prototype emerging workloads in multi-agent AI systems, generative multimodal models, and inference-time compute scaling.

- Pioneer and develop optimisations for these workloads across the inference stack to push the boundaries of inferencing quality and speed on NVIDIA systems.

- Collaborate closely with production teams to incorporate the latest advancements into cutting-edge software frameworks.

**Requirements:**

- Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.

- A strong foundation in deep learning, with a particular emphasis on generative models and inferencing.

- A track record of at least 5 years of relevant software development experience in modern deep learning frameworks such as PyTorch.

- Growth mindset and pragmatic attitude.

**Nice to Have:**

- Published research or noteworthy contributions to the field of deep learning, particularly in areas such as inference-time compute, multimodal generation, AI systems, etc.

- Experience with prototyping or deployment of agentic AI systems and/or multimodal generation models.

- Experience with collaborating across algorithms, software and performance teams to deliver high quality solutions.

- Familiarity with computer architecture and how it relates to AI algorithms development.

## Skills

### Required
- Deep Learning
- Generative Models
- Inferencing
- PyTorch
- Computer Science
- Artificial Intelligence
- Applied Mathematics

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