Lead Systems HPC Engineer Remote - United States

Nebius Group; United States; Remote; USD 170.000 - 300.000; Vollzeit

Benefits dieser Stelle

Health insurance

401(k) plan

Parental leave

Remote work reimbursement

Disability & life insurance

Zusammenfassung

Nebius is hiring a Lead Software Systems Engineer - GPU Performance to optimize large-scale GPU clusters spanning hardware and software. You will analyze system behavior, identify bottlenecks, and implement tunings that improve performance for training and inference workloads.

The role covers hardware interactions, kernel-level work, and collaboration with vendors and internal teams to meet aggressive performance targets in a global AI cloud platform.

Qualifikationen

• 5+ years of system-level software development focused on performance optimization.
• 3+ years hands-on Linux systems administration, troubleshooting and tuning.
• Deep understanding of server architecture including PCIe, NICs, kernel, and HPC.
• Proficient in C/C++, Go, or Python for performance-oriented tasks.

Aufgaben

• Identify bottlenecks across hardware and software stack and drive improvements.
• Troubleshoot GPU cluster performance under real workloads (training and inference).
• Evaluate new hardware, configurations, and tuning approaches via the software stack.
• Support escalations from internal teams and customers on performance issues.
• Collaborate with infra, software, and hardware vendor teams (NVIDIA, Mellanox, Intel).
• Contribute to hardware and cluster qualification to meet performance targets.

Kenntnisse

System-level software development

Linux systems

PCIe architecture

Networking (InfiniBand/RoCE)

High-performance computing

Performance-oriented languages

Jobbeschreibung

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

We are looking for a Lead Software Systems Engineer - GPU Performance to play a key role in building our hyperscaler platform, working across its core components while analyzing and optimizing the performance of large-scale GPU clusters at the intersection of hardware and software.

You will operate across the full stack—from hardware and system software to networking (InfiniBand/RoCE), virtualization (KVM/QEMU), and distributed communication layers (e.g., MPI, NCCL).

In this role you will

• Focus on understanding system behavior across multiple layers, identifying performance bottlenecks, and driving improvements that shape how our clusters are built, operated, tuned, and validated.
• Investigate and troubleshoot performance issues of GPU cluster under real workloads (training and inference)
• Evaluate and integrate new hardware, system configurations and tuning approaches through software stack
• Support complex performance-related escalations from internal teams and customers
• Work closely with infrastructure, software engineering and hardware vendor teams (e.g. NVIDIA, Mellanox, Intel)
• Contribute to hardware and cluster qualification (acceptance), ensuring systems meet performance expectations

We expect you to have:

• 5+ years of professional experience insystem-level software development(focused on performance optimization, low-level programming).
• 3+ years of hands-on experience withLinux systems(administration, troubleshooting, and performance tuning).
• In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems.
• Strong proficiency in one or more performance-oriented programming languages(C/C++, Go, Python).

We conduct coding interviews as part of the process.

Key employee benefits:

• Health insurance:100% company-paid medical, dental and vision coverage for employees and families.
• 401(k) plan:Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement:Up to $85/month for mobile and internet.
• Disability & life insurance:Company-paid short-term, long-term and life insurance coverage.

Pay Transparency

We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.

Base Compensation Range

$170,000—$300,000 USD

Benefits & Perks:

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams

What's it like to work at Nebius:

Fast moving- Bold thinking- Constant growth- Meaningful impact- Trust and real ownership- Opportunity to shape the future of AI

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.

If you need accommodations during the application process, please let us know.