CUDO Ventures

CUDO Compute

Visionary innovation, delivered ethically

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CUDO is the global leader in providing monetization applications for users around the world. Every day, our platforms deliver value to our users that boost revenues, increase margins and enable rapid responses to changing market dynamics and volatility.

About us

We relentlessly support and courageously challenge each other.

We are collaborative

We are pioneers striving for excellence who are always willing to improve.

We are experts

We are bold, think big and act with integrity.

We are impactful

We trust our employees’ judgement to deliver what’s needed.

We are empowered

Everything we do is underpinned by inclusion.

We are inclusive

Our values

Matt is a tech entrepreneur, Building and founding C4L in 2000 which was one of the fastest growing ISP’s in the UK & winner of many fast growth awards including Times Tech Track 100, Deloitte UK Top 50, Deloitte EMEA Fast 500 & many more. C4L provided approx 1% of the UK’s internet infrastructure and was one of the largest private networks in the UK including their own data centre & scaled to over 1% of the UK’s internet traversing it. Customers included Government, FTSE 250, Top 100 VARs, ISPs, Resellers & SMB’s. C4L was acquired in 2016 so Matt could start Cudo to make better use of the world’s computing capacity.

Matt Hawkins

A strategic leader with a proven track record of driving business growth resulting in increased profit margins and revenue in international multi- faceted organisations. Transforming business through change management, the introduction of innovation and technological support and rigorous corporate governance, in global blue-chip and Private Equity backed start-up organisations.

Lee Woodham

Andrew has well over 20 years of industry experience in software, network, and storage engineering. He is adept at designing lean, highly-supportable, and reproducible systems for data‑centre and carrier environments. Prior to joining Cudo at its inception, Andrew was the lead architect at C4L. Andrew’s extensive experience in leading teams who build platforms supporting millions of users, and that require the maximum resilience and availability, gives him the ability to solve difficult-to-reason problems, and deliver effective products.

Andrew Sturmey

With 13 years experience within the cloud industry, Pete built and managed a 150-strong partner channel that included over 30% of the top 100 managed service providers and value added resellers, in the UK. As VP of Sales for both Cudo and blockchain subsidiary Cudos, he is again leading strategic partnerships across metaverse, NFTs, Defi, AI and mining, all with the goal of driving distributed computing and web 3.0 cloud adoption.

Pete Hill

Meet the team

<html><head></head><body>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&nbsp;you on our team as a&nbsp;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.
<h3>Why Cudo Compute?</h3>
At Cudo Compute, we're revolutionizing cloud computing by delivering powerful, scalable, and sustainable cloud infrastructure solutions for AI, machine learning, and scientific workloads. Join us in building a greener, more efficient cloud powered by advanced GPUs.
<h3>What You’ll Do:</h3>
Incident and Problem Management
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Lead end-to-end incident management, from initial triage to resolution, utilising AI-enhanced ITSM tools for faster response times.
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Own complex technical issues through their complete lifecycle, including root cause analysis and documentation.
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Collaborate with third-party vendors and partners to resolve critical infrastructure issues.
Service Excellence
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Maintain strict SLA compliance for critical incidents and system outages.
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Implement and maintain automated resolution workflows using AI-powered ITSM tools.
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Develop and curate knowledge base articles to support AI-driven first-line resolution.
Platform Operations
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Monitor and optimise multi-node GPU clusters using advanced monitoring solutions.
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Execute change management procedures following ITIL frameworks.
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Develop and implement automation scripts to reduce manual overhead.
<h3>What You Bring:</h3>
Technical Expertise
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3+ years of IT support experience with a focus on GPU environments.
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong Linux system administration and command-line expertise.
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Proven experience with ITSM tools and AI-powered incident management systems.
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience in supporting HPC environments with industry-leading vendors.
Operational Excellence
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Demonstrated ability to work independently during solo shifts.
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience in implementing automated workflows in HPC and Cloud environments.
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong documentation skills and ability to maintain transparent communication.
Communication and Leadership
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Excellence in shift handover communications and escalation management.
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ability to work effectively across global teams and time zones.
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong problem-solving skills with a self-starter mindset.
<h3>What You’ll Get:</h3>
<ul>
<li style="font-family: helvetica;">Competitive Salary</li>
<li style="font-family: helvetica;">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.</li>
<li style="font-family: helvetica;">Impactful Work: Help revolutionize cloud computing with powerful, sustainable infrastructure</li>
<li style="font-family: helvetica;">Cutting-Edge Tech: Work with the latest hardware and software from Nvidia, Intel, and AMD</li>
<li style="font-family: helvetica;">Collaborative Culture: Join a mission-driven team passionate about making a global impact in the cloud and HPC space.</li>
</ul>
<h3>About Cudo Compute</h3>
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!</body></html>

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.
<h3>Why Cudo Compute?</h3>
At Cudo Compute, we're revolutionizing cloud computing by delivering powerful, scalable, and sustainable cloud infrastructure solutions for AI, machine learning, and scientific workloads. Join us in building a greener, more efficient cloud powered by advanced GPUs.
<h3>What You’ll Do:</h3>
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.
<h3>What You Bring:</h3>
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.
<h3>What You’ll Get:</h3>
<ul>
<li style="font-family: helvetica;">Competitive Salary</li>
<li style="font-family: helvetica;">
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.</li>
<li style="font-family: helvetica;">Impactful Work: Help revolutionize cloud computing with powerful, sustainable infrastructure</li>
<li style="font-family: helvetica;">Cutting-Edge Tech: Work with the latest hardware and software from Nvidia, Intel, and AMD</li>
<li style="font-family: helvetica;">Collaborative Culture: Join a mission-driven team passionate about making a global impact in the cloud and HPC space.</li>
</ul>
<h3>About Cudo Compute</h3>
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!