Forward Deployed Engineer US

· Remote

Location

Remote

Type

Full Time

Job Description

RunpodJobs
Forward Deployed Engineer US

Forward Deployed Engineer US

Posted 2 Days Ago
Easy Apply
Hiring Remotely in San Francisco CA USA
In-Office or Remote
100K-180K Annually
Mid level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
To create a foundational platform for developers to build and run custom AI systems that scale.
The Role
Customer-facing technical engineer supporting sales and onboarding for Runpod's AI cloud. Troubleshoot escalated issues build POCs collaborate with engineering and product create documentation and train customers to ensure smooth deployment and operation of AI workloads.
Summary Generated by Built In

Runpod is the AI Developer Cloud. More than one million developers from indie researchers to teams running frontier models in production use Runpod to experiment train fine-tune deploy and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers.

We're a small remote-first team. We take ownership seriously move fast and ship work that more than a million developers rely on every day. We're looking for people who care deeply build with urgency and want to matter at scale.

This position will need to be located in the US on PST timezone

As part of the Revenue Team you’ll work closely with customers the sales team the product team  the engineering team and the support team to ensure a seamless and delightful Runpod experience. Your role will focus on providing technical insights resolving challenges and building trust with customers. Our team is dedicated to delivering exceptional solutions and fostering collaboration across functions to make the platform as smooth and efficient as possible.

This Forward Deployed Engineer will support the growth of our cloud platform. This role ensures customers experience seamless operations addressing technical challenges guiding onboarding and collaborating with engineering and sales teams. Ideal candidates combine technical expertise with strong communication skills to enhance customer satisfaction and improve our platform.

You’ll play a key role in solving technical challenges shaping the customer experience and driving product improvements. By building strong customer relationships and collaborating across teams your contributions will directly enhance operational efficiency customer satisfaction and the success of Runpod.

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.

Requirements:

  • 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.

  • Located in US in the PST region

  • 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.

What You’ll Receive:

  • The competitive base pay for this position ranges from 100000- 180000 usd .This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors including the candidate’s experience qualifications and location

  • 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.

  • 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.

  • $1200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace

Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race color religion sex sexual orientation gender identity national origin age marital status protected veteran status disability status or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however we are currently unable to sponsor employment visas

Skills Required

  • Bachelor's degree in Computer Science Computer Engineering Software Engineering IT or equivalent professional experience.
  • 3+ years of professional experience in software development.
  • Strong problem-solving skills and ability to work collaboratively.
  • Familiarity with applied AI use cases (inference fine-tuning LLM-based applications agentic systems).
  • Excellent communication skills and attention to detail.
  • Located in the US in the PST region.
  • Successful completion of a background check.
  • Proficiency in Python (Django Flask PyTorch).
  • Proficiency in JavaScript (React Node.js) and Go.
  • Experience with Linux/Ubuntu and containerization (Docker).
  • Experience with SQL (MySQL PostgreSQL) and NoSQL (MongoDB) databases.
  • Understanding of data center components server hardware network operations and protocols (TCP/IP HTTP/HTTPS SSH DNS).
  • Proficiency deploying and managing AI/ML models as services or APIs and understanding training/inference/deployment processes.
  • Ability to write and execute scripts queries and read/interpret code logs errors and traces.

What the Team is Saying

Jamie Ilario
Max Forsey
Jacob Wright

Runpod Compensation & Benefits Highlights

  • Healthcare StrengthPublic listings indicate fully paid health benefits for full‑time employees plus dental and vision coverage. Feedback suggests wellness programs also support overall health.
  • Retirement SupportPublic materials call out 401(k) matching as part of the package. Feedback suggests this provides structured long‑term savings alongside salary.
  • Equity Value & AccessibilityJob postings state everyone on the team receives stock options. Feedback suggests this makes ownership broadly accessible across roles.

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The Company
San Francisco California
80 Employees
Year Founded: 2022

What We Do

Runpod is pioneering the future of AI and machine learning offering cutting-edge cloud infrastructure for full-stack AI applications. Founded in 2022 we are a rapidly growing well-funded company with a remote-first organization spread globally. Our mission is to empower innovators and enterprises to unlock AI's true potential driving technology and transforming industries. Join us as we shape the future of AI. We are building Cloud services focused on accelerating AI adoption. Whether you're an experienced ML developer training a large language model or an enthusiast tinkering with stable diffusion we strive to make GPU compute as seamless and affordable as possible.

Why Work With Us

Our Guiding Virtues Give a sh*t - We want to work with people who care - about our customers and about each other. Look in the mirror - We deeply reflect on our own actions and seek to better ourselves. Courage over comfort - We tackle hard truths and tough situations directly even when it makes us uncomfortable.

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Runpod Offices

Remote Workspace

Employees work remotely.

We’re remote-first offering flexibility with virtual tools for collaboration. For those nearby we have coworking spaces in SF and Seattle. Enjoy the choice of office or remote work with a focus on flexibility and work-life balance

Typical time on-site: None
San Francisco California
Company Office Image
Seattle WA
Learn more

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Date Posted

07/08/2026

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