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Runpod

Rents cloud GPUs for building AI applications

Forward Deployed Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in UK$100k - $180k

About the Job

Requirements

  • A bachelor's degree in a relevant field, such as Computer Science, Computer Engineering, Software Engineering, or Information Technology, or equivalent professional experience.
  • At least 3 years of professional experience in software development.
  • Strong problem-solving skills and the ability to work collaboratively.
  • Familiarity with applied AI use cases such as inference, fine-tuning, large language model-based applications, or agentic systems.
  • Excellent communication skills and attention to detail.
  • Located in EMEA; Ireland, the UK, or Spain is preferred.
  • Successful completion of a background check.

Responsibilities

  • Participate in customer sales meetings, explain Runpod technologies, provide architectural recommendations, and build proof-of-concept solutions to support onboarding for potential high-spending customers.
  • Troubleshoot and resolve critical or complex customer-escalated technical issues involving configuration, performance, functionality, compatibility, or code errors in Runpod products or services.
  • Use code analysis, testing scripts, log analysis, and remote access to identify root causes and deliver solutions or workarounds.
  • Communicate with customers and internal engineering, sales, supply, and product management teams to support customer satisfaction and incorporate feedback.
  • Assist the support team with escalated technical tickets, collaborate with engineering on workarounds or bug fixes, and work with infrastructure teams on GPU server issues.
  • Relay customer and support-team feedback to engineering to contribute to product development, testing, and product improvements.
  • Create and maintain technical documentation, including knowledge base articles, FAQs, guides, and manuals, and develop and deliver training sessions, webinars, and demonstrations for customers, partners, and internal teams.

Desired Qualifications

  • Proficiency in Python, including Django, Flask, or PyTorch; JavaScript, including React or Node.js; and Go, with hands-on full-stack development experience.
  • Knowledge of Linux or Ubuntu operating systems, Docker containerization, SQL databases such as MySQL or PostgreSQL, NoSQL databases such as MongoDB, data center server hardware and network operations, and network protocols such as TCP/IP, HTTP/HTTPS, SSH, and DNS.
  • Proficiency in deploying and managing AI/ML models as services or APIs, and a deep understanding of machine-learning model training, inference, and deployment on Runpod platforms.
  • Ability to write and execute scripts, queries, or commands and read and understand code, logs, errors, or traces.

About the Company

Runpod

Rents cloud GPUs for building AI applications

Runpod rents cloud computing power to developers and businesses building AI applications, with GPUs for model training, fine-tuning, and running models for users. Its Pods give teams a dedicated environment to run their own containers, while Serverless turns code into endpoints that adjust capacity to incoming requests. Clusters link multiple GPUs for larger training jobs, and the platform includes tools to deploy and monitor workloads through a web console or software interfaces. Customers pay for metered compute time and storage, with options for reserved resources and enterprise support. Runpod was founded in 2022 and is headquartered in San Francisco, California.

Company size
51-200
Company stage
Growth Equity (Venture Capital)
Total funding
$122.3M
Headquarters
San Francisco, CA
Founded
2022

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