
201 - 500 employees
Founded 2014
🤖 Artificial Intelligence
🤝 B2B
🔧 Hardware
💰 $329M Debt Financing - Vultr on 2025-06
Artificial Intelligence • B2B • Hardware
Vultr is a global cloud infrastructure provider offering on-demand virtual machines, bare-metal servers, GPU-accelerated instances, managed databases, object and block storage, Kubernetes, and networking services. The platform emphasizes AI and HPC workloads with a broad selection of AMD and NVIDIA GPUs, fast networking, and 32+ data center regions, plus a marketplace of deployable apps and developer-friendly APIs. Vultr targets developers and businesses seeking affordable, scalable, and compliant cloud compute and storage alternatives to hyperscalers.
🕒 October 6
🇺🇸 United States – Remote
💵 $135k - $145k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
👷🏻♀️ Engineer
🚫👨🎓 No degree required
👻 Ghost score 3%
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201 - 500 employees
Founded 2014
🤖 Artificial Intelligence
🤝 B2B
🔧 Hardware
💰 $329M Debt Financing - Vultr on 2025-06
Artificial Intelligence • B2B • Hardware
Vultr is a global cloud infrastructure provider offering on-demand virtual machines, bare-metal servers, GPU-accelerated instances, managed databases, object and block storage, Kubernetes, and networking services. The platform emphasizes AI and HPC workloads with a broad selection of AMD and NVIDIA GPUs, fast networking, and 32+ data center regions, plus a marketplace of deployable apps and developer-friendly APIs. Vultr targets developers and businesses seeking affordable, scalable, and compliant cloud compute and storage alternatives to hyperscalers.
• Execute GPU node and cluster bring-up processes across new hardware platforms • Validate GPU node functionality through automated and manual testing • Troubleshoot hardware and software issues across GPU and OS layers • Contribute to automation using Python, Bash, and Ansible • Support onboarding and offboarding of systems within GPU clusters • Document processes, findings, and improvements for internal teams • Install, configure, and maintain GPU drivers, firmware, and system software • Monitor GPU cluster health and respond to hardware alerts and failures • Help build and scale high-performance GPU infrastructure powering next-generation AI workloads
• 2–5 years of experience in systems engineering, infrastructure, or similar roles • Hands-on experience with Linux systems and server hardware • Familiarity with GPUs (NVIDIA and/or AMD) in production or lab environments • Experience with scripting (Python, Bash) • Exposure to automation tools such as Ansible • Strong troubleshooting and problem-solving skills • Ability to work across teams and communicate technical concepts clearly • Familiarity with GPU drivers and system software (NVIDIA CUDA, AMD ROCm) • Must be located in the United States • Must be legally authorized to work in the United States • Must not require employment visa sponsorship
• 100% company-paid insurance premiums for employee medical, dental and vision plans • 401(k) plan that matches 100% up to 4%, with immediate vesting • Professional Development Reimbursement of $2,500 each year • 11 Holidays + Paid Time Off Accrual + Rollover Plan • Increased PTO at 3 year and 10 year anniversary • 1 month paid sabbatical every 5 years • Anniversary Bonus each year • $500 stipend for remote office setup in first year + $400 each following year • Internet reimbursement up to $75 per month • Gym membership reimbursement up to $50 per month • Company paid Wellable subscription
Apply Now🕒 October 6
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