Forward Deployed Engineer US
Forward Deployed Engineer on the Revenue team at Runpod, supporting AI cloud platform growth by joining sales calls, building POCs, troubleshooting complex customer issues (inference, LLMs, GPU), providing architectural guidance, and relaying feedback to engineering. Requires 3+ years software development, AI familiarity, strong communication, and US PST location.
About the job
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.
Compensation & Benefits
- Competitive base pay ranging from $100,000 - $180,000 USD (may be inclusive of several career levels; narrowed during interview process based on experience, qualifications, and location).
- Meaningful equity in a fast-growing company (stock options for everyone on the team).
- Flexible PTO.
- $1,200 Home Office & Equipment Stipend.
- Remote-first work with collaborative team using Slack.
Skills
Python, Django, Flask, PyTorch, JavaScript, React, Node.js, Go, Linux, Ubuntu, Docker, MySQL, Postgres, MongoDB, TCP/IP
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