Forward Deployed Engineer US

RunPod
United States, San Francisco
Workplace: RemoteFull timeUSD 100,000 - 180,000 annuallyFunction: Software EngineeringExperience: 3+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Collaboration","Attention to detail"]

Support Runpod’s AI cloud platform growth by partnering with customers and cross-functional teams to provide technical guidance, resolve escalated issues, and smooth onboarding for high-spending accounts. Troubleshoot complex problems across performance, configuration, compatibility, and code errors using logs, scripting, and remote access. Translate customer feedback into product improvements, while delivering technical documentation and training, webinars, and demos.

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FursaFursa
RunPod
RunPod
2 months ago

Forward Deployed Engineer US

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Support Runpod’s AI cloud platform growth by partnering with customers and cross-functional teams to provide technical guidance, resolve escalated issues, and smooth onboarding for high-spending accounts. Troubleshoot complex problems across performance, configuration, compatibility, and code errors using logs, scripting, and remote access. Translate customer feedback into product improvements, while delivering technical documentation and training, webinars, and demos.
Location: United States, San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Participate in customer sales meetings to explain Runpod technologies, provide architectural recommendations, and build proof-of-concept solutions for onboarding.
  • •Troubleshoot and resolve critical escalated technical issues across configuration, performance, functionality, compatibility, and code errors.
  • •Use code analysis, scripting, log analysis, and remote access to identify root causes and deliver solutions or workarounds.
  • •Communicate with customers and internal teams to ensure satisfaction and incorporate valuable feedback.
  • •Assist support and engineering with escalated tickets, including providing workarounds or bug fixes and collaborating on GPU server-related issues.

Pay and Benefits

Salary: USD 100,000 - 180,000 annually
Equity and Bonus:Equity
Perks:EquityPaid LeaveRemote WorkHome Office

Key Requirements

  • •Bachelor’s degree in a relevant field (e.g., Computer Science, Computer Engineering, Software Engineering, Information Technology) or equivalent experience.
  • •3+ years of professional experience in software development.
  • •Strong problem-solving skills and ability to work collaboratively.
  • •Familiarity with applied AI use cases such as inference, fine-tuning, LLM-based applications, or agentic systems.
  • •Located in the US on PST timezone; successful completion of a background check.
Experience:3+ yearsAI/MLLLM-based applicationsCloud platformInference
Education:Bachelor's
Skills:Problem-solvingCommunicationCollaborationAttention to detail
Tech Stack:PythonDjangoFlaskPyTorchJavaScriptReactNode.jsGoLinuxUbuntuDockerMySQLPostgreSQLMongoDBTCP/IPHTTPHTTPSSSHDNS

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

RunPod
Provides on-demand GPU cloud and marketplace services for machine learning workloads, offering rentable GPU instances, scalable compute for training and inference, and tools to run ML jobs cost-effectively without long-term commitments.
Industry: Cloud Computing
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