Technical Support Engineer | Remote

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Hiring Remotely in Ho Chi Minh City, Ho Chi Minh, VNM
In-Office or Remote
Artificial Intelligence • On-Demand • Software
The AI Infrastructure Platform: scalable, efficient, on-demand GPUs
The Role
About Us

Vast.ai’s cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity.

We value curiosity, ownership, and continuous learning. You’ll have the opportunity to dive into state-of-the-art AI systems while collaborating with a globally distributed team. We encourage and support growth into specialized or leadership tracks as our startup continues to scale.

About the Role

We're looking for a Remote Technical Support Engineer to provide critical assistance to our clients and hosts. You’ll be the first line of defense for customers running AI workloads, diagnosing infrastructure issues, and driving product improvements. This is a full time, salaried, remote position that requires daily coverage to ensure our customers receive timely and effective support. The support that you provide will often be highly technical in nature and will require SysOps expertise.

  • This is a full-time, remote position.  

Vast.ai users or hosts strongly preferred.

Key Responsibilities
  • Provide technical support to customers and hosts via email, chat, and phone
  • Provide general support to customers (billing questions, how to use the platform for specific use cases, etc)
  • Troubleshoot and resolve issues related to our GPU rental platform
  • Maintain and update support documentation
What You'll Bring

Must-Haves:

  • Linux system administration experience – you're comfortable navigating the command line, managing services, troubleshooting system issues, and optimizing performance
  • Docker proficiency – you understand containerization, can debug container issues, and work with Docker Compose or similar tools
  • Technical support experience – you've successfully helped customers solve complex technical problems and can balance technical accuracy with clear, empathetic communication
  • Excellent written and verbal English skills – you can explain technical concepts clearly to users ranging from beginners to ML engineers
  • Customer-first mindset – you're genuinely invested in user success and take pride in delivering exceptional support experiences

Nice-to-Haves:

  • Experience with GPU drivers and CUDA – understanding NVIDIA driver installations, compatibility, and troubleshooting
  • Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, JAX, etc.)
  • Familiarity with virtualization technologies (KVM, VMware, etc.)
  • Background in cloud-native or distributed computing environments
  • Prior experience with the Vast.ai platform or similar GPU cloud services
  • Scripting skills (Python, Bash) for automation and diagnostics

You Are:

  • Self-directed and resourceful – comfortable diving into unfamiliar problems and figuring things out
  • Adaptable – willing to work flexible hours including occasional weekends/holidays to support our global user base
  • Detail-oriented – you catch the small things that make a big difference in complex technical environments
  • Genuinely excited about AI – you understand why GPU access matters and want to help researchers and developers push the boundaries of what's possible
Benefits
  • Competitive salary 
  • 100% salary during probation period
  • Tet bonus (after 1 year of employment and based on performance)
  • Annual leave as per regulations
  • Social, Health, and Unemployment Insurance
  • Reimbursement for approved work expenses
  • Fast growing, ambitious startup environment

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The Company
HQ: Westwood, CA
41 Employees
Year Founded: 2018

What We Do

Vast.ai is the market leader for low cost GPU rentals. The service connects data centers and professionals running the Vast hosting software with users who can quickly find the best deals for compute according to their specific requirements. Vast.ai GPU rentals are ~3-5X cheaper than current alternatives. Consumer computers and consumer GPUs in particular are considerably more cost effective than equivalent enterprise hardware. We are helping the millions of underutilized consumer GPUs around the world enter the cloud computing market for the first time.

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