Runpod · 13 hours ago
Forward Deployed Engineer (EMEA)
United States
Full-time
Remote
Mid Level
$100K/yr - $135K/yr
3+ years expRunpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. The Forward Deployed Engineer will work closely with customers and various teams to ensure a seamless experience, providing technical insights and resolving challenges. This role is crucial for enhancing customer satisfaction and driving product improvements through collaboration and strong customer relationships.
AI InfrastructureArtificial Intelligence (AI)Cloud InfrastructureGPU
No H1B
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
Qualification
Required
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
Preferred
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
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
$1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace
Company
Runpod
Runpod is a cloud platform designed for GPUs, enabling developers to deploy customized full-stack AI applications.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$22M2024-05-08Seed· $20M
2023-03-30Pre Seed· $2M
Leadership Team
Zhen Lu
Chief Executive Officer
P
Pardeep Singh
Co-Founder, CTO
Recent News
PR Newswire
2026-01-20
Crunchbase News
2025-12-26
Company data provided by crunchbase