Forward Deployed Engineer – APAC

About the role

Runpod is building an AI Developer Cloud used by over a million developers worldwide. As a Forward Deployed Engineer in the APAC region, you will work closely with customers, sales, product, engineering, and support teams to ensure a seamless and delightful experience on the platform.

Key responsibilities

• Participate in sales meetings, explain Runpod technologies, provide architectural recommendations, and build proof‑of‑concept solutions for high‑spending customers.
• Troubleshoot and resolve critical technical issues related to configuration, performance, functionality, compatibility, or code errors.
• Use code analysis, scripting, log analysis, and remote access to identify root causes and deliver solutions or workarounds.
• Communicate effectively with customers and internal teams to ensure satisfaction and integrate feedback.
• Assist the support team, collaborate with engineering for workarounds or bug fixes, and work with infrastructure on GPU server issues.
• Contribute feedback to product development and testing, shaping platform improvements.
• Create and maintain technical documentation and deliver training sessions, webinars, and demos.

Required profile

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, or equivalent experience.
• 3+ years of professional software development experience.
• Strong problem‑solving abilities and collaborative mindset.
• Familiarity with applied AI use cases such as inference, fine‑tuning, LLM‑based applications, or agentic systems.
• Excellent communication skills and attention to detail.
• Located in the APAC region (ideally Malaysia, Singapore, or South Korea).
• Successful completion of a background check.

Required skills

• Python (Django, Flask, PyTorch)
• JavaScript (React, Node.js)
• Go
• Linux/Ubuntu operating systems
• Docker containerization
• SQL databases (MySQL, PostgreSQL)
• NoSQL databases (MongoDB)
• Network protocols (TCP/IP, HTTP/HTTPS, SSH, DNS)
• Deploying and managing AI/ML models as services or APIs

What we offer

• Competitive base salary $100,000‑$160,000 USD per year.
• Equity stock options.
• Flexible paid time off.
• Remote‑first work environment with collaborative Slack communication.
• $1,200 home office and equipment stipend.