Senior AI Infrastructure Systems Engineer (R&D / GPU / AI)

nebius

United States

Remote

USD 180,000 - 224,000

Full time

14 days+

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Medical coverage and dental/vision for
Retirement plan with employer match
Paid parental leave
Internet/mobile stipend
Disability and life insurance

Job summary

Nebius in the United States is seeking a Senior Systems Engineer to diagnose difficult hardware and platform failures in high-performance GPU systems. You will investigate Linux-based environments, analyze logs, and design repeatable troubleshooting methods.

You will join a team focusing on performance, stability, and diagnostics, including DCGM and NCCL benchmarks, PCIe topology, and firmware interconnects. Strong scripting in Python or Go will accelerate automation and root-cause analysis.

Qualifications

  • Five+ years hands-on Linux-based systems engineering on server hardware, firmware, PCIe and GPU/HPC platforms.
  • Extensive Linux troubleshooting, including kernel-level debugging.
  • Strong understanding of NVIDIA GPU systems, drivers, and interconnects.
  • Deep PCIe knowledge: enumeration, topology, link behavior, error types.
  • Experience with BIOS/UEFI, BMC, GPU firmware and NIC firmware.
  • Ability to automate investigations with Python or Go.

Responsibilities

  • Form and test hypotheses by examining system logs, hardware data, and targeted diagnostic results.
  • Isolate failures across GPU servers, Linux hosts, firmware, PCIe and other interconnects, power, and cooling.
  • Analyze GPU diagnostics and fabric behavior, and run tests such as DCGM diagnostics and NCCL benchmarks.
  • Investigate PCIe topology and errors, linking symptoms to link or signal integrity issues.
  • Benchmark system performance, stability, power usage, thermal behavior, and workload characteristics.
  • Document root causes and turn findings into repeatable troubleshooting procedures; automate investigations with scripts.

Skills

Linux troubleshooting
Kernel debugging
NVIDIA GPU systems
PCIe knowledge
Firmware experience
Python or Go scripting

Tools

DCGM diagnostics
NCCL benchmarks

Job description

Role overview

Investigate difficult hardware and platform failures in high-performance GPU systems, using evidence to determine whether the cause lies in the GPU, host, firmware, interconnect, cooling, or physical hardware. The role combines Linux-based systems debugging, performance and stability analysis, and the creation of repeatable troubleshooting methods for issues that may not have an established procedure.

Responsibilities
  • Form and test hypotheses by examining system logs, hardware data, and targeted diagnostic results.
  • Isolate failures across GPU servers, Linux hosts, firmware, PCIe and other interconnects, power, and cooling.
  • Analyze GPU diagnostics and fabric behavior, and run tests such as DCGM diagnostics and NCCL benchmarks.
  • Investigate PCIe topology and errors, connecting protocol-level symptoms to potential link or signal-integrity problems.
  • Benchmark system performance, stability, power use, thermal behavior, and workload characteristics.
  • Document root causes and turn findings into repeatable troubleshooting procedures; automate investigations with scripts.
Requirements
  • At least five years of hands-on systems engineering experience involving Linux, server hardware, firmware, PCIe, and GPU or high-performance computing platforms.
  • Extensive Linux troubleshooting experience, including knowledge of the kernel and kernel-level debugging.
  • Strong understanding of modern server architecture and NVIDIA GPU systems, including relevant diagnostics, drivers, and interconnects.
  • Deep PCIe knowledge, including enumeration, topology, link behavior, and error types.
  • Experience with platform firmware such as BIOS/UEFI, BMC, programmable logic, GPU firmware, and NIC firmware.
  • Practical ability to investigate hardware, software, and networking issues; use low-level interfaces such as I²C, SMBus, or PMBus; and automate work with Python or Go.
Benefits and work setup
  • The listed benefits include employer-paid medical, dental, and vision coverage for employees and families.
  • A retirement plan with up to a 4% employer match and immediate vesting.
  • Paid parental leave.
  • A monthly reimbursement of up to $85 for mobile and internet.
  • Employer-paid disability and life insurance.
  • The source lists a salary range of $179,500–$224,300 plus quarterly performance bonuses.
Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

GPU Systems Engineer
GPU Systems Engineer

Career Techniques • New York (NY)

On-site
USD 200,000 - 300,000
Member of Technical Staff - GPU Infrastructure
Member of Technical Staff - GPU Infrastructure

Prime Intellect • United States

Hybrid
USD 150,000 - 300,000
Remote work option
Equity incentives
Professional development budget
+2
Technical Support Engineer (Bare Metal)
Technical Support Engineer (Bare Metal)

Coreweave • United States

Remote
USD 90,000 - 130,000
Medical, dental, and vision insurance
Life insurance and disability coverage
401(k) with employer match
+4
Infrastructure Engineer (GPU & Compute)
Infrastructure Engineer (GPU & Compute)

lightningai • United States

Hybrid
USD 180,000 - 220,000
Discretionary bonus
Equity
Medical/dental/vision
+8
Software Engineer, Compute Performance
Software Engineer, Compute Performance

Cisco Systems, Inc • San Jose (CA)

On-site
USD 150,000 - 190,000
Medical Insurance
Dental Insurance
Vision Insurance
+16
Principal Solutions Architect
Principal Solutions Architect

nscaleoperationsukltd • United States

Hybrid
USD 180,000 - 260,000
Equity
Base pay + equity
Annual compensation reviews
+1
Senior Systems Software Engineer - GPU Performance at Scale
Senior Systems Software Engineer - GPU Performance at Scale

NVIDIA Corporation • Santa Clara (CA)

On-site
USD 184,000 - 356,500
Senior AI Systems Performance Engineer
Senior AI Systems Performance Engineer

NVIDIA Corporation • California

On-site
USD 184,000 - 287,500
Equity
Comprehensive benefits
Senior AI Systems Performance Engineer
Senior AI Systems Performance Engineer

NVIDIA Corporation • Texas

On-site
USD 184,000 - 287,500
Equity
Benefits
Senior GPU Infrastructure Engineer - AI Infrastructure
Senior GPU Infrastructure Engineer - AI Infrastructure

Hamilton Barnes • Texas

On-site
USD 120,000 - 160,000
Potential equity/bonus