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Forward Deployed Engineer APAC

Runpod

Remote · На постоянной основе

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Опыт
3+ yrs
Зарплата
USD 100,000 – USD 160,000 / year
Открытия
1
Опубликовано
1 час назад
Work mode
Работа из дома
Образование
Bachelor's degree
Eligibility
Candidates must be based in the APAC region, ideally in Malaysia, Singapore, or South Korea. Applicants should have relevant software development experience, meet the technical and communication requirements, complete a background check, and be eligible to work in the United States if applicable; v…
Resume
Required to apply

Описание работы

About the role

Runpod is a remote-first platform built for developers creating and operating custom AI systems at scale. The company supports more than 500,000 developers around the world and reports an annual recurring revenue run rate above $120M. Founded in 2022, Runpod has expanded quickly by developing infrastructure tailored for modern AI workloads, helping teams move from experimentation into production across cloud, on-premises, and hybrid setups.

As part of the Revenue Team, you will partner with customers, sales, product, engineering, and support to deliver a smooth Runpod experience. The focus of this role is to provide technical guidance, resolve customer challenges, and strengthen trust through collaborative problem-solving. The position is designed for someone who combines strong technical ability with clear communication and a customer-first mindset.

This Forward Deployed Engineer role is focused on supporting the growth of Runpod's cloud platform. You will help customers achieve reliable operations, guide onboarding, address technical issues, and work cross-functionally to improve both customer satisfaction and the platform itself. Your work will influence product improvements, operational quality, and customer success.

Key responsibilities

  • Join customer sales conversations, explain Runpod's technical offerings, recommend suitable architectures, and build proof-of-concept solutions for prospective high-value customers.
  • Investigate and fix complex or high-priority technical problems raised by customers, including issues tied to configuration, speed, functionality, compatibility, and code-related errors.
  • Use debugging methods such as code review, scripting, log inspection, and remote access to identify root causes and provide working solutions or temporary workarounds.
  • Maintain effective communication with customers and internal stakeholders across engineering, sales, supply, and product management to drive satisfaction and capture useful feedback.
  • Support the customer support team with escalated tickets, collaborate with engineering on fixes or workarounds, and work with infrastructure teams on GPU server-related issues.
  • Feed customer and support insights back into product development and testing efforts to help shape future improvements.
  • Write and update technical documentation, including knowledge base content, FAQs, guides, and manuals, and deliver training sessions, webinars, and demos for customers, partners, and internal teams.

Requirements

  • A bachelor's degree in a relevant discipline such as Computer Science, Computer Engineering, Software Engineering, Information Technology, or a similar field, or equivalent professional experience.
  • At least 3 years of professional software development experience.
  • Strong analytical and troubleshooting ability, along with the capacity to work well in a collaborative environment.
  • Familiarity with practical AI use cases such as inference, fine-tuning, LLM-based applications, or agentic systems.
  • Excellent verbal and written communication skills with strong attention to detail.
  • Must be based in the APAC region, ideally in Malaysia, Singapore, or South Korea.
  • Successful completion of a background check.
  • Preferred technical strengths include Python (Django, Flask, PyTorch), JavaScript (React, Node.js), and Go, with hands-on full-stack development experience.
  • Experience with Linux/Ubuntu, Docker, SQL databases such as MySQL and PostgreSQL, NoSQL databases such as MongoDB, and familiarity with data center components like server hardware and network operations.
  • Working knowledge of network protocols such as TCP/IP, HTTP/HTTPS, SSH, and DNS.
  • Ability to deploy and manage AI/ML models as services or APIs, including understanding model training, inference, and deployment workflows on Runpod platforms.
  • Capability to write and run scripts, queries, and commands, and to read code, logs, errors, and traces.

Perks and benefits

  • Base compensation is listed at USD 100,000 to USD 160,000, converted to local currency and adjusted during the interview process based on experience, qualifications, and location.
  • Meaningful equity in a fast-growing company through stock options.
  • Flexible paid time off to help you recharge when needed.
  • Remote-first working style with collaborative teams using Slack for internal communication.
  • The opportunity to join a team focused on AI infrastructure, learning, ownership, and strong culture.
  • A USD 1,200 home office and equipment stipend to help set up your workspace.

Additional information

Runpod is an equal opportunity employer committed to maintaining a workplace free from discrimination and based on equality and respect. The company values diversity in all forms and reviews qualified candidates without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or other protected characteristics under law.

The company welcomes qualified candidates who are eligible to work in the United States, but it is currently unable to sponsor employment visas.

This role is based in the APAC region, with the ideal locations being Malaysia, Singapore, or South Korea.

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