Senior Hardware Engineer (R&D / GPU / AI)

Reposted 20 Days Ago
Be an Early Applicant
Amsterdam, NLD
In-Office
Mid level
Artificial Intelligence • Information Technology • Consulting
The Role
As a System Engineer, you'll design, deploy, and maintain high-performance cloud systems, troubleshoot complex system issues, and collaborate to optimize performance and reliability.
Summary Generated by Built In

Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

The role

Nebius is looking for a Senior Hardware Engineer (R&D / GPU / AI). You’re welcome to work in our data center in Amsterdam, the Netherlands.

Your responsibilities will include:

  • Participate in the design, deployment, and maintenance of high-performance cloud systems tailored for AI workloads.
  • Arranging and performing hardware R&D tests and experiments on site in data center
  • Troubleshoot and resolve complex system issues related to GPUs, networking (InfiniBand, NVLink), PCIe, and server infrastructure.
  • Conduct deep investigations into hardware, software, and networking problems to ensure optimal system performance and reliability.
  • Participate in development of tests and test methodologies for advanced GPU, InfiniBand, and Compute systems to benchmark and validate performance.
  • Collaborate with cross-functional teams to improve system performance and reliability.
  • Monitor system performance and continuously fine-tune configurations for maximum efficiency

Required Skills & Qualifications: 

  • Strong knowledge of modern server architecture, especially in high-performance GPU-based environments.
  • Hands-on experience with GPUs, Network, NVLink, and PCIe.
  • Proficient in Linux systems, with expertise in Python and Bash scripting for automation.
  • Demonstrated ability to troubleshoot complex system issues, including hardware, software, and networking problems.
  • Experience with deep problem investigation, root cause analysis, and resolving performance issues in cloud-based or high-performance computing environments.
  • Strong analytical and problem-solving skills, with a focus on optimizing system performance.
  • Basic electronics modification by soldering and wiring

It will be an added bonus if you have:

  • Knowledge of the Linux kernel and experience with kernel-level troubleshooting.
  • Familiarity with electronic measurement equipment: oscilloscope, multimeter. 

What we offer: 

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Flexible working arrangements.
  • A dynamic and collaborative work environment that values initiative and innovation.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply, and will be required to provide proof of employment eligibility as a condition of hire.

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The Company
473 Employees

What We Do

Cloud platform specifically designed to train AI models

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