PLEASE NOTE THIS ROLE REQUIRES THE INDIVIDUAL TO WORK THE HOURS OF UTC PLU8 OR UTC MINUS 8 INCKUDING WEEKENDS
Are you passionate about high-performance computing (HPC) and ready to shape the future of cloud GPU infrastructure? Cudo Compute is a global leader in providing on-demand and reserved cloud GPUs for AI, machine learning, and HPC workloads. If you thrive on cutting-edge technologies and scalable systems, we want you on our team as a Lead Support Engineer!
As a Mid-level GPU Cloud Support Engineer, you will be a key member of our global support team, providing 24/7 coverage for our GPU cloud platform and customer-dedicated GPU clusters. This role combines technical expertise with AI-powered support tools to deliver exceptional service across multiple time zones.
Why Cudo Compute?
What You’ll Do:
Incident and Problem Management
● Lead end-to-end incident management, from initial triage to resolution, utilising AI-enhanced ITSM tools for faster response times.
● Own complex technical issues through their complete lifecycle, including root cause analysis and documentation.
● Collaborate with third-party vendors and partners to resolve critical infrastructure issues.
Service Excellence
● Maintain strict SLA compliance for critical incidents and system outages.
● Implement and maintain automated resolution workflows using AI-powered ITSM tools.
● Develop and curate knowledge base articles to support AI-driven first-line resolution.
Platform Operations
● Monitor and optimise multi-node GPU clusters using advanced monitoring solutions.
● Execute change management procedures following ITIL frameworks.
● Develop and implement automation scripts to reduce manual overhead.
What You Bring:
Technical Expertise
● 3+ years of IT support experience with a focus on GPU environments.
● Strong Linux system administration and command-line expertise.
● Proven experience with ITSM tools and AI-powered incident management systems.
● Experience in supporting HPC environments with industry-leading vendors.
Operational Excellence
● Demonstrated ability to work independently during solo shifts.
● Experience in implementing automated workflows in HPC and Cloud environments.
● Strong documentation skills and ability to maintain transparent communication.
Communication and Leadership
● Excellence in shift handover communications and escalation management.
● Ability to work effectively across global teams and time zones.
● Strong problem-solving skills with a self-starter mindset.
What You’ll Get:
- Competitive Salary
- Remote Work: Flexibility to work from anywhere in a UTC±8 or UTC-8 timezone with flexibility to work occasional extended hours within our coverage model if needed.
- Impactful Work: Help revolutionize cloud computing with powerful, sustainable infrastructure
- Cutting-Edge Tech: Work with the latest hardware and software from Nvidia, Intel, and AMD
- Collaborative Culture: Join a mission-driven team passionate about making a global impact in the cloud and HPC space.
About Cudo Compute
At Cudo Compute, we’re creating the next generation of cloud infrastructure—sustainable, high-performance, and GPU-optimized. Our platform powers innovation for AI, ML, and HPC, all while championing a greener, more efficient future. Join us in pushing the boundaries of what's possible in cloud technology.
This role offers significant opportunities for growth in AI-driven support technologies and global service delivery, making it ideal for a proactive professional looking to shape the future of GPU cloud support.
Ready to shape the future of cloud HPC? Apply today!
