WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Staff Software Engineer, Large-Scale Inference

Anthropic
Greater London, UK
1 day ago
Apply on www.collegerecruiter.com
Prepare application

Role details

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

Tech stack

Artificial Intelligence Cloud Computing Program Optimization Distributed Systems Performance Tuning Software Engineering

Job description

A leading AI research organization in the UK is seeking a Staff Software Engineer to join its Inference team. In this role, you will optimize systems that serve AI models to millions of users, focusing on infrastructure for breakthrough AI research. Candidates should have significant experience in software engineering, especially with distributed systems, and may possess familiarity with performance optimization and cloud infrastructure. This position offers competitive compensation and a collaborative working environment.

Requirements

A leading AI research organization in the UK is seeking a Staff Software Engineer to join its Inference team. In this role, you will optimize systems that serve AI models to millions of users, focusing on infrastructure for breakthrough AI research. Candidates should have significant experience in software engineering, especially with distributed systems, and may possess familiarity with performance optimization and cloud infrastructure. This position offers competitive compensation and a collaborative working environment. #J-18808-Ljbffr

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.collegerecruiter.com
Prepare application

Good distractions

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

Moments

Explore playlists

2:54 min

Optimizing infrastructure for agentic flows and inference

Michael Kagan Michael Kagan +1 · World Congress 2026 Europe

2:27 min

Introduction to WebAssembly in a cloud computing context

Edo Edo · World Congress 2024

8:32 min

Benchmarking GitOps engine constraints for extensive multi-cluster environments

Artem Lajko · Europe 2026 Virtual

1:29 min

Overcoming challenges in AI-assisted distributed system development

Przemysław Ładyński Przemysław Ładyński · World Congress 2026 Europe

3:30 min

Optimizing performance using dedicated open source inference engines

Patrick Koss Patrick Koss · World Congress 2025

2:51 min

Alibaba Cloud developer resources and cloud computing training

Cheng Zhang · LIVE

Videos

See all
Green Cloud Computing thumbnail
35:20
LIVE • about 3 years ago

Green Cloud Computing

Doreen Sacker

Practical performance tuning for Serverless Java on AWS thumbnail
43:35
Europe 2026 Virtual • about 2 months ago

Practical performance tuning for Serverless Java on AWS

Vadym Kazulkin

Best Practices for AI-Assisted Development of Distributed Systems thumbnail
28:07
World Congress 2026 Europe • about 2 months ago

Best Practices for AI-Assisted Development of Distributed Systems

Przemysław Ładyński

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps thumbnail
35:19
Coffee With Developers • 3 months ago

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps

Hazal Mestci, Raph Terrier

Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated thumbnail
30:40
World Congress 2026 Europe • about 2 months ago

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

Christin Pohl

Architecting the Future: Leveraging AI, Cloud, and Data for Business Success thumbnail
32:46
World Congress 2024 • about 2 years ago

Architecting the Future: Leveraging AI, Cloud, and Data for Business Success

Alexander Wallner, Christian Ertler, Karin Janina Schweizer, Tomislav Tipurić

Related articles

See all