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Infiniband Jobs (NOW HIRING)

InfiniBand (fabric debugging, throughput, connectivity issues) * NVMe/storage (performance bottlenecks, firmware interactions, failure analysis) * Conduct rigorous system validation and ...

InfiniBand (fabric debugging, throughput, connectivity issues) * NVMe/storage (performance bottlenecks, firmware interactions, failure analysis) * Conduct rigorous system validation and ...

Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs * Docker, kubernetes (k8s), KubeVirt, containerd, kubelet Focus Areas: * Kernel Debugging - Analyze kernel crashes, oopses, panics ...

GPU Fabric Engineer

$125K - $135K/yr

The ideal candidate is deep hands-on experience with InfiniBand and RoCE fabrics in GPU cluster environments, and a strong understanding of how interconnect performance impacts distributed AI ...

... InfiniBand/RoCE). • Strong background in Kubernetes, Slurm, or similar orchestration frameworks, particularly in hybrid-cloud configurations. • Experience with distributed filesystems (e.g., WEKA ...

CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), and/or ARM CPU solutions. • Familiarity with virtualization technology concepts. Company : NVIDIA is a computing platform ...

Working knowledge of high-speed protocols like PCIe, Ethernet, Infiniband, DDR, NVMe, USB, etc. * Professional attitude with ability to execute on multiple tasks with minimal supervision. * Strong ...

InfiniBand (fabric debugging, throughput, connectivity issues) * NVMe/storage (performance bottlenecks, firmware interactions, failure analysis) * Conduct rigorous system validation and ...

InfiniBand (fabric debugging, throughput, connectivity issues) * NVMe/storage (performance bottlenecks, firmware interactions, failure analysis) * Conduct rigorous system validation and ...

Showing results 41-60

Infiniband information

See salary details

$11K

$83.3K

$113K

How much do infiniband jobs pay per year?

As of Aug 8, 2026, the average yearly pay for infiniband in the United States is $83,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $108,000.00 per year, depending on experience, location, and employer.

What is InfiniBand?

Infiniband is a high-speed, low-latency networking technology commonly used in data centers and high-performance computing environments. It is designed to connect servers, storage systems, and network devices, providing much faster data transfer rates than traditional Ethernet. Infiniband supports scalable bandwidth and efficient communication, which makes it ideal for applications requiring rapid data movement, such as scientific simulations and large-scale database transactions. Its architecture also supports remote direct memory access (RDMA), which further reduces latency and CPU overhead.

What are the key skills and qualifications needed to thrive as an InfiniBand network engineer, and why are they important?

To thrive as an InfiniBand Network Engineer, you need a strong background in computer networking, Linux system administration, and high-performance computing (HPC) environments, often supported by a degree in computer science or related field. Familiarity with InfiniBand architecture, experience with tools like OpenFabrics Enterprise Distribution (OFED), and certifications such as CompTIA Network+ are valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These abilities are essential for ensuring efficient, reliable InfiniBand network performance in complex HPC or data center environments.

What are the typical responsibilities of an InfiniBand network engineer in a data center environment?

InfiniBand network engineers are primarily responsible for designing, deploying, and maintaining high-performance InfiniBand fabrics that connect servers and storage systems in data centers, especially in HPC (High-Performance Computing) environments. Their daily tasks include monitoring network performance, troubleshooting connectivity or latency issues, and performing firmware and driver updates on InfiniBand switches and host adapters. They also collaborate closely with system administrators and application teams to optimize throughput and ensure reliable, low-latency communication. Additionally, InfiniBand engineers often participate in capacity planning and help scale the network infrastructure to meet growing computational demands.

What is the difference between Infiniband vs Ethernet Network Engineer?

AspectInfinibandEthernet Network Engineer
Required CredentialsNetworking certifications, Cisco, Cisco CCNA, CCNPNetworking certifications, Cisco, CCNA, CCNP
Work EnvironmentData centers, high-performance computing environmentsCorporate networks, data centers, enterprise environments
Industry UsageHigh-performance computing, research institutionsBusiness, telecommunications, enterprise IT
Common Search/ComparisonYesYes

Infiniband and Ethernet Network Engineers both work with network infrastructure, but Infiniband specializes in high-speed, low-latency connections used in data centers and HPC environments. Ethernet Network Engineers focus on standard Ethernet networks used across various industries. While their certifications and skills overlap, their work environments and applications differ significantly.

More about Infiniband jobs
What cities are hiring for Infiniband jobs? Cities with the most Infiniband job openings:
What states have the most Infiniband jobs? States with the most job openings for Infiniband jobs include:
Infographic showing various Infiniband job openings in the United States as of August 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $83,291 per year, or $40 per hour.

Staff Hardware Systems Engineer

Crusoe

San Francisco, CA • On-site

$215K - $260K/yr

Full-time

Re-posted 19 days ago


Job description

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About This Role:

We are seeking a Hardware Production / Sustaining Engineer to strengthen Crusoe’s Hardware Systems Engineering team and close critical skill gaps in debugging, validation, and production support of high-performance compute systems. In this role, you will take ownership of the full hardware lifecycle—from prototype bring-up to large-scale production—while driving automation, deep issue resolution, and reliability across Crusoe Cloud’s GPU- and CPU-based infrastructure.

You will work closely with cross-functional teams to support, debug, and improve hardware platforms at scale, with a particular focus on PCIe, InfiniBand, and NVMe/storage, which have been identified as essential areas for deeper expertise. Your work will directly impact Crusoe’s ability to deploy and operate sustainable, AI-first compute systems with world-class performance and reliability.

What You’ll Be Working On:

  • Drive the full hardware development and sustaining lifecycle, including feasibility, bring-up, validation, deployment, and ongoing production support.

  • Develop and maintain scripting and automation frameworks for hardware testing, diagnostics, and continuous reliability improvements.

  • Lead deep troubleshooting and debugging across:

    • PCIe (link training, topology, performance issues)

    • InfiniBand (fabric debugging, throughput, connectivity issues)

    • NVMe/storage (performance bottlenecks, firmware interactions, failure analysis)

  • Conduct rigorous system validation and characterization for GPU, CPU, and high-performance compute platforms.

  • Support E2E integration and solution testing to ensure Crusoe Cloud products meet performance, reliability, and scalability expectations.

  • Collaborate with mechanical, thermal, firmware, software, and manufacturing teams to resolve system-level issues and enable stable production operation.

  • Drive prototyping, qualification, and readiness for high-volume manufacturing with both internal teams and external vendors.

  • Identify opportunities for new hardware technologies, testing methods, and sustainability improvements aligned with Crusoe’s long-term objectives.

  • Provide data-driven insights to influence Crusoe’s hardware roadmap and reliability strategy.

What You’ll Bring to the Team:

  • 8–10+ years of experience in hardware development, validation, sustaining engineering, or production engineering.

  • Strong hands-on expertise in PCIe, InfiniBand, and NVMe/storage debugging and development.

  • Deep proficiency in hardware bring-up, board-level debugging, and system-level validation.

  • Ability to design and implement automation frameworks for hardware testing (Python, Shell, or similar).

  • Technical background in digital and analog design, server architecture, and high-performance compute hardware.

  • Experience working across thermal, mechanical, firmware, and software functions in multidisciplinary environments.

  • Strong analytical and problem-solving skills with a data-driven approach.

  • Excellent communication and collaboration skills for working with internal teams and external partners.

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or equivalent experience.

Bonus Points:

  • Experience designing or optimizing GPU-to-GPU communication architectures for AI/ML workloads.

  • Direct experience integrating NVLink or other next-generation GPU interconnect technologies.

  • Familiarity with cutting-edge GPU architectures and how to leverage them in AI/HPC environments.

  • Expertise supporting or designing systems across both ARM and x86 server architectures.

  • Background in sustainable or energy-efficient hardware design practices.

  • Advanced certifications or coursework in AI/HPC hardware systems.

Compensation Range:

Compensation will be paid in the range of $215,000 - $260,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.