Role Overview
The Forward Deployed Engineer EMEA role at RunPod is a full-time, remote position focused on supporting the growth and operational success of an AI developer cloud platform. This job suits a technical professional with software development experience who excels at bridging the gap between customers, sales, and engineering teams within the EMEA region.
Key Responsibilities
Join sales meetings to explain specific technologies, give architectural recommendations, and build proof-of-concept solutions for high-spending customer onboarding.
Troubleshoot and fix critical technical escalations concerning configuration, performance, compatibility, or code errors.
Apply code analysis, testing scripts, log review, and remote access methods to uncover root causes and provide fixes or workarounds.
Coordinate closely with engineering, sales, supply, product management, and support teams to drive customer satisfaction and incorporate feedback.
Assist the support division with escalated technical tickets and collaborate with infrastructure teams on GPU server issues.
Supply feedback to the engineering division to help shape ongoing product development and testing.
Author technical documentation such as knowledge base articles, user guides, and FAQs, while also conducting training sessions, webinars, and product demos.
Requirements
Hold a bachelor's degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or a related field, or have equivalent professional experience.
Bring a minimum of 3 years of professional background in software development.
Demonstrate strong problem-solving capabilities and the ability to operate in a collaborative environment.
Possess familiarity regarding applied artificial intelligence use cases such as fine-tuning, inference, agentic systems, or large language model applications.
Exhibit excellent communication skills and sharp attention to detail.
Reside in the EMEA region.
Pass a background check successfully.
Nice to Have
Display strong technical capabilities featuring proficiency in Python, Go, and JavaScript, alongside practical full-stack development experience.
Maintain knowledge of Linux operating systems, Docker containerization, SQL and NoSQL databases, and data center components.
Understand network protocols such as TCP/IP, SSH, HTTP/HTTPS, and DNS.
Show proficiency in deploying machine learning models as APIs or services, plus a deep understanding of training and inference workflows.
Process the ability to read code, execute scripts or queries, and analyze error traces and logs.
Skills and Tools
Python, PyTorch, Django, Flask
JavaScript, React, Node.js
Go and SQL
Docker and Linux/Ubuntu
Large Language Models and AI infrastructure tools
Salary and Benefits
Competitive base pay ranging from $100,000 to $180,000 in local currency equivalent, determined by experience, qualifications, and location.
Meaningful equity through stock options in a rapidly growing organization.
Flexible paid time off policy to support work-life balance.
Remote work environment utilizing Slack for primary team communication.
A $1,200 home office and equipment stipend provided upon starting.
About the Company
RunPod operates as the AI Developer Cloud, enabling over one million developers and researchers to experiment, fine-tune, train, and scale artificial intelligence workloads on a single platform. The company closed a $100 million Series A funding round in June 2026 and functions as a remote-first team that emphasizes ownership, speed, and high-scale impact. RunPod maintains a workplace free from discrimination and operates as an equal opportunity employer.
How to Apply
Interested candidates should visit the official RunPod careers page to submit an application for this remote position.
