# Senior AI Infrastructure Systems Engineer (R&D / GPU / AI) Source: https://realanalystjobs.com/job/senior-ai-infrastructure-systems-engineer-r-and-d-gpu-ai-nebius-27c24bbb Senior AI Infrastructure Systems Engineer (R&D / GPU / AI) at Nebius, an on-site role based in USA. Experience level: 5 Years. Pay stated in the posting: $179,500- $224,300. Posted on 28 January 2026, read from Nebius' own careers page (Greenhouse), which RealAnalystJobs re-checks daily and removes the role when it closes. Nebius has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Nebius](https://realanalystjobs.com/companies/nebius) - Location: USA - Work mode: On-site - Pay stated in the posting: $179,500- $224,300 - Posted: Jan 28, 2026 - Employment type: Full time - Experience level: 5 Years - Source: Nebius' careers page (Greenhouse), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python) ## Visa sponsorship The posting does not say. Nebius had H-1B petitions approved for 7 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/nebius#h1b-record) ## About this role 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. The role: The role involves forming technical hypotheses, designing targeted tests, analyzing system logs and low-level hardware data, and distinguishing between GPU, host, firmware, interconnect, thermal, and physical hardware failures. It requires strong ownership, curiosity, and the ability to turn ambiguous problems into evidence-based conclusions and repeatable troubleshooting procedures. This is a senior systems engineering role focused on diagnosing and resolving complex hardware and platform failures in high-performance AI infrastructure. This engineer will work across Linux, GPU servers, PCIe, firmware, power, and cooling to determine the true root cause of issues that may not have an existing troubleshooting procedure. What skills we expect you to have: • Minimum 5 years of hands-on systems engineering experience across Linux, server hardware, firmware, PCIe, and GPU or high-performance computing platforms. • Extensive Linux experience, particularly using Linux as an environment for hardware debugging, system-level troubleshooting, and platform investigation. • Knowledge of the Linux kernel and experience with kernel-level debugging or troubleshooting. • Strong knowledge of modern server architecture, particularly in high-performance, GPU-based environments. • Strong knowledge of NVIDIA GPU platforms and diagnostic tooling, including nvidia-smi, XID and SXID analysis, GSP and driver behaviour, NVLink, NVSwitch, Fabric Manager, DCGM diagnostics, and NCCL testing • Deep knowledge of PCIe, including topology, enumeration, root complexes, endpoints, switches, bridges, retimers, link speed and width, AER and DPC errors, completion timeouts, and link failures. Candidates should understand how protocol-level errors can relate to physical-layer or signal-integrity problems. • Experience benchmarking systems for performance, stability, power efficiency, thermal behaviour, and workload characteristics • In depth understanding of firmware interactions across BIOS/UEFI, BMC, CPLD/FPGA, GPU firmware, NIC firmware, and other platform components. • Experience with low-level hardware communication and debugging using I²C, SMBus, PMBus, register maps, bit masks, byte- and word-level data, and device datasheets. • Demonstrated ability to troubleshoot complex hardware, software, and networking issues. • Experience with deep problem investigation, root cause analysis, and performance optimization in cloud or high-performance computing environments. • Strong analytical and problem-solving skills with a performance-first mindset. • Scripting and automation using various languages (Python\Go) 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. Compensation • We offer a competitive salary ranging from $179,500- $224,300 + quarterly performance bonuses. Join Nebius Today! 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. Description from Nebius' public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-ai-infrastructure-systems-engineer-r-and-d-gpu-ai-nebius-27c24bbb) and use Apply now there to reach the employer's application. The listing is re-checked against Nebius' careers page daily and removed when it closes. ## Nebius 8 open analyst roles on Real Analyst Jobs. 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