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Senior GPU Systems Engineer: Large-Scale Inference & RL

Reflection
Greater London, UK
18 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
www.collegerecruiter.com

Tech stack

Systems Engineering Software Debugging Distributed Systems Reinforcement Learning Hardware Infrastructure

Requirements

Reflection is seeking an experienced professional to design and operate large-scale GPU infrastructure for model inference and reinforcement learning. The role involves developing systems for high-performance inference platforms, optimizing GPU utilization, and diagnosing performance bottlenecks. Ideal candidates will have hands-on experience with GPU systems, knowledge of modern inference frameworks, and skills in debugging complex performance issues across distributed systems. The company offers competitive compensation and comprehensive benefits. #J-18808-Ljbffr

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:08 min

The vending machine trap in software debugging

Jen Callou Jen Callou · Europe 2026 Virtual

4:08 min

Introduction to speakers and model-based systems engineering goals

Daniel Siegl +1 · LIVE

1:29 min

Overcoming challenges in AI-assisted distributed system development

Przemysław Ładyński Przemysław Ładyński · World Congress 2026 Europe

1:58 min

Verifying hardware access and exploring AI inference scaling

Piotr Zaniewski Piotr Zaniewski · World Congress 2026 Europe

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

55 sec

Massive artificial intelligence lawsuits and software debugging tool patterns

Chris Heilmann Chris Heilmann +2 · LIVE

Videos

See all
Best Practices for AI-Assisted Development of Distributed Systems thumbnail
28:07
World Congress 2026 Europe • 3 months ago

Best Practices for AI-Assisted Development of Distributed Systems

Przemysław Ładyński

Using AI Without Losing Your Skills thumbnail
25:08
Europe 2026 Virtual • 3 months ago

Using AI Without Losing Your Skills

Jen Callou

Model Based Systems Engineering in an Agile Product Development Process thumbnail
32:04
LIVE • almost 6 years ago

Model Based Systems Engineering in an Agile Product Development Process

Daniel Siegl, Hermann Gollwitzer

Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated thumbnail
30:40
World Congress 2026 Europe • 3 months ago

Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated

Christin Pohl

What I learned as a developer from accidents in space thumbnail
18:44
World Congress 2023 • about 3 years ago

What I learned as a developer from accidents in space

Andrey Sitnik

Efficient deployment and inference of GPU-accelerated LLMs​ thumbnail
23:01
World Congress 2024 • about 2 years ago

Efficient deployment and inference of GPU-accelerated LLMs​

Adolf Hohl

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