Runpod
Forward Deployed Engineer (EMEA)
Runpod
€100k - €135k
Remote, EMEA
Python
Django
Flask

Forward Deployed Engineer (EMEA)

Overview

Runpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications.

Job Description

Runpod is a rapidly growing, well-funded company with a remote-first organization spread globally. Our mission is to create a foundational platform for developers to build and run custom AI systems that scale.

Responsibilities

  • - Participate in sales meetings with customers, explain Runpod''s specific technologies, provide architectural recommendations, and build proof-of-concept solutions to support onboarding for potential high-spending customers.
  • - Troubleshoot and resolve critical or complex technical issues escalated by customers, including those related to configuration, performance, functionality, compatibility, or code errors in Runpod''s products or services.
  • - Utilize various tools and methods, such as code analysis, scripting for testing, log analysis and remote access, to identify root causes and deliver solutions or workarounds.
  • - Communicate effectively with customers and internal teams, including engineering, sales, supply and product management teams, to ensure customer satisfaction and integrate valuable feedback.
  • - Assist the support team in troubleshooting and resolving escalated technical tickets, collaborate with the engineering team to provide workarounds or bug fixes, and work with the infrastructure team to address GPU server-related issues.
  • - Contribute to product development and testing efforts by relaying feedback from customers and the support team to the engineering team, helping to shape product improvements.
  • - Create and maintain technical documentation, such as knowledge base articles, FAQs, guides, and manuals, while also developing and delivering training sessions, webinars, and demos for customers, partners, and internal teams.

Required Skills

  • - Bachelor''s degree in a relevant field (e.g., Computer Science, Computer Engineering, Software Engineering, Information Technology, or a related field) or equivalent professional experience.
  • - 3+ years of professional experience in software development.
  • - Strong problem-solving skills and ability to work in a collaborative environment.
  • - Familiarity with applied AI use cases such as inference, fine-tuning, LLM-based applications, or agentic systems.
  • - Excellent communication skills and attention to detail.
  • - Successful completion of a background check.
  • - Strong technical skills, including proficiency in Python (Django, Flask, PyTorch), JavaScript (React, Node.js), and Go, with hands-on experience in full-stack development.
  • - Knowledge of various operating systems (Linux/Ubuntu), containerization (Docker), SQL databases (MySQL, PostgreSQL), NoSQL databases (MongoDB), and an understanding of data center components such as server hardware and network operations, as well as familiarity with common network protocols like TCP/IP, HTTP/HTTPS, SSH, and DNS.
  • - Proficiency in deploying and managing AI/ML models as services or APIs, along with a deep understanding of machine learning models, including their training, inference, and deployment processes on Runpod platforms.
  • - Ability to write and execute scripts, queries, or commands, and the ability to read and understand code, logs, errors, or traces.

Benefits

  • - The competitive base pay for this position ranges from 100,000- 135,000 euro.
  • - Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside.
  • - Medical, dental & vision plans
  • - Flexible PTO- take the time you need to recharge
  • - Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication
  • - Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale.
  • - $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace

About the company

Runpod is an end-to-end AI cloud platform that makes it easy for developers to build, deploy, and scale custom AI systems without managing infrastructure. Trusted by over 500,000 developers at leading AI companies, Runpod lets you launch GPU instances in seconds or deploy autoscaling, serverless inference APIs that scale from zero to production seamlessly. With support for 30+ GPU SKUs, global deployment across 8+ regions, enterprise-grade uptime, built-in orchestration, and real-time logs and metrics, Runpod simplifies every step of the AI workflow—from idea to global deployment—so teams can focus on building models, not infrastructure.


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