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Provide high-volume L1 customer and host support through chat and email. Troubleshoot GPU rentals, Docker containers, Linux environments, networking, and account issues; communicate clearly with frustrated users; document and escalate unresolved problems; and maintain support documentation. The role requires strong written English, customer support experience, Linux fundamentals, and Docker and network troubleshooting. Familiarity with GPU drivers, AI/ML frameworks, cloud infrastructure, virtualization, and Vast.ai is preferred.

Execute manual, exploratory, regression, and automated testing for web applications and backend services. Develop test plans and cases, validate requirements, investigate failures, identify root causes, and file actionable defects. Collaborate with Product and Engineering on acceptance criteria, quality standards, and release readiness in a Linux-first environment.

Own the infrastructure, security, scalability, observability, and reliability roadmap for a decentralized GPU cloud marketplace. Translate non-functional requirements into engineering specifications, prioritize initiatives, and drive delivery. Manage platform metrics including uptime, fleet reliability, latency, and cost-to-serve. Partner across engineering and leadership to improve distributed systems, compliance, abuse prevention, and infrastructure tooling at significant scale.

Troubleshoot complex Linux, NVIDIA GPU, CUDA, Docker, virtualization, networking, hardware, and AI workload issues. Own escalated support tickets, assist clients and infrastructure suppliers, identify root causes, and collaborate with engineering teams. Build Python and Bash diagnostic tooling, create runbooks, improve monitoring and troubleshooting processes, and support supplier onboarding and machine management. The role is fully or mostly on-site in Los Angeles, with schedules covering Monday-Friday or Sunday-Thursday.

Design and implement secure architectures for a multi-tenant GPU cloud platform. Conduct threat modeling, security assessments, code reviews, penetration testing, and incident response. Manage SIEM, WAF, and EDR tools; develop security improvements with engineering teams; support compliance with SOC 2, ISO 27001, GDPR, NIST, and CIS Controls; maintain security documentation; and train development teams on secure practices.

Lead and scale Vast.ai’s two-sided GPU marketplace sales organization. Coach existing enterprise demand and strategic supply representatives, hire and onboard additional sellers, expand outreach, manage pipeline forecasting and CRM discipline, develop the sales technology stack, design compensation plans, set quotas, and manage strategic accounts. Partner with Marketing, Product, and Engineering to align go-to-market strategy and support aggressive revenue growth.

Deploys, fine-tunes, and serves open-source AI models on rented GPUs using tools such as vLLM and SGLang. Builds public example repositories, Docker templates, benchmarks, and live endpoints, then teaches through technical writing, videos, talks, livestreams, and community support. Reports product friction to engineering and product teams, represents Vast at hackathons and conferences, and serves as a highly credible technical voice across developer communities.

Provides escalated technical support for AI infrastructure across Linux, Docker, NVIDIA GPUs, CUDA, networking, storage, virtualization, and host configurations. Diagnoses complex workload and performance issues, supports supplier onboarding, develops Python and Bash automation, and maintains runbooks and knowledge articles. Collaborates with engineering on systemic platform problems, assists TensorFlow and PyTorch users, and provides L1 overflow coverage through an on-call rotation.

Design and scale infrastructure powering a global GPU marketplace. Responsibilities include GPU provisioning, workload scheduling, orchestration, provider onboarding, usage tracking, billing, pricing logic, resource management, and marketplace APIs. The engineer will optimize performance, reliability, security, fault tolerance, and multi-tenant cloud systems while collaborating with product and infrastructure teams. The role requires strong Python and C++ development, distributed systems expertise, and experience building large-scale compute platforms.

Provide high-volume L1 customer and host support through chat and email. Troubleshoot GPU rentals, Docker containers, Linux environments, networking, accounts, and AI workloads. Communicate clearly with frustrated users, document issues, maintain knowledge-base content, and escalate unresolved problems to L2 or engineering. The role is remote in Vietnam and may require evening, weekend, and holiday availability.