GPU Container Expert – Remote, EU

Datacrunch; Eu; Hybride; EUR 70 000 - 90 000; Plein temps

Résumé du poste

A leading AI cloud provider based in Europe is looking for an experienced individual to build and optimize GPU container infrastructure. This role involves collaborating with a small team of engineers to enhance AI workloads' efficiency and stability. The position is remote and offers generous compensation, including equity. Applicants should have strong Linux and GPU experience, along with over 8 years in container runtimes. This is a career-defining opportunity for those eager to contribute to innovative AI solutions.

Prestations

Generous cash and equity compensation

Healthcare benefits

Wellbeing programs

Qualifications

• 8+ years’ experience in container runtimes, familiarity with CRI.
• Hands-on experience building, optimizing, and troubleshooting GPU/accelerator infrastructure.
• Strong Linux expertise, including high performance networking.

Responsabilités

• Build, support, develop, and maintain GPU/accelerator infrastructure.
• Drive upstream development and contribute to relevant open-source communities.
• Ensure high performance, stability, and scalability of GPU containers.

Connaissances

Container runtimes expertise

Strong Linux expertise

Solid GPU experience

Excellent communication skills

Description du poste

Imagine a future where everyone has instant, low-cost access to intelligence. We’re building a fully featured European AI cloud - with everything one needs to train, experiment with, and deploy AI models. In addition, our GPUs run on 100%renewable energy.

We’re ambitious, curious, and gutsy doers. We practice a low hierarchy across the company and high morale in our teams. We’ve already achieved a lot, yet we’re only getting started. Now it’s your chance to join the ride. We offer more than just the job - we offer acareer-defining opportunity to be part of building something big!

As a cherry on top, we’ve recently raised $64M in Series A and are ready to reach new heights.

How the process looks like

1. Introduction chat with the TA Partner (45 mins): Learn more about Verda and share your career aspirations.
2. Technical interview with the team (60 mins): Dive deeper into your expertise and discuss technical challenges.
3. Final interview (60 mins): Meet with our CEO, CTO, and the wider team.

About the role

You’ll be at the heart of building and optimizing GPU container infrastructure across Europe, working with some of the brightest engineers in the field. This role gives you the chance to shape how AI workloads run at scale in a European cloud environment.

What's next

Apply sooner than later. This job ad will be removed when we’ve found the right person.

Please submit your application through our Careers page. We don’t accept applications sent by email.

Why Verda

• Generous cash + equity compensation along with various fringe benefits (e.g., healthcare, lunch, wellbeing, etc.).
• Our operations are profitable, in addition to fast growth.
• You’ll be an integral part of the small yet mighty team of 59, challenging the status quo to positively impact the lives of many people.
• You’ll work in small teams of experts.
• 27 nationalities in total, with 6 different ones in the management team.
• We foster a community-like atmosphere: we often enjoy each other’s company after work, e.g., munching BBQ made by Ruben, our CEO by day and master chef by night.

Practicalities

• Remote role, based anywhere in the EU.
• For Helsinki-based candidates this role requires presence in our Kamppi office at least 3 days per week.
• Full-time, permanent contract.

Your responsibilities

• Build, support, develop, and maintain GPU/accelerator infrastructure.
• Work closely with teammates, external partners, and upstream communities related to GPU and accelerator infrastructure and driver development.
• Speed up container runtimes and optimize storage handling on disk.
• Drive upstream development and actively contribute to relevant open-source communities.
• Ensure high performance, stability, and scalability of GPU containers across our infrastructure.

Your key competencies

• 8+ years’ experience in container runtimes, familiarity with CRI
• Strong Linux expertise, including high performance networking, and container filesystems.
• Solid GPU experience, especially with NVIDIA drivers.
• Hands-on experience building, optimizing, and troubleshooting GPU/accelerator infrastructure.
• Upstream development experience, including familiarity with community processes.
• Excellent written and verbal communication skills in English, with strong organizational ability.

Success criteria for this role in the next 6-12 months

• Significant reduction in container startup times and improved runtime efficiency.
• Well-documented, stable GPU container infrastructure used across our platform.
• Active contributions upstream, strengthening our position in the open-source community.
• Strong collaboration with internal teams and external partners, ensuring seamless GPU infrastructure delivery.