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Entry Level Ai Infrastructure Engineer Jobs (NOW HIRING)

AI Foundry

AI Infrastructure Engineer

Seattle, WA · On-site

$122K - $160K/yr

They are seeking AI Infrastructure Engineers to help build and operate large-scale GPU infrastructure for training and inference workloads, focusing on hands-on systems work across various technical ...

MeshyAI

AI Infrastructure Engineer

Sunnyvale, CA · On-site

$125K - $164K/yr

The AI Infrastructure Engineer role involves ensuring the reliability and scalability of the AI model serving stack, while developing core engineering infrastructure to connect models to product ...

Meshy LLC

AI Infrastructure Engineer

Sunnyvale, CA

$126K - $165K/yr

The function owns the reliability, scalability, and operability of Meshy\'s AI model serving stack, along with core engineering infrastructure. The team operates a conventional production ...

Spellbrush

AI Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Spellbrush, the world's leading generative AI studio behind niji・journey , is looking for an AI Infrastructure Engineer to join us in building out end-to-end ML infrastructure to run our models on ...

Spellbrush

AI Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Spellbrush, the world's leading generative AI studio behind niji・journey , is looking for an AI Infrastructure Engineer to join us in building out end-to-end ML infrastructure to run our models on ...

Tencent

Sr. Cloud AI Infrastructure Engineer

Palo Alto, CA · Hybrid

$145K - $273K/yr

... infrastructure. Who We Look For 1.Education: Master's or Ph.D. degree in Computer Engineering ... Expertise in GPGPU architectures or other mainstream AI accelerator architectures . 3.Programming ...

Vast.ai

Senior Infrastructure Engineer

Los Angeles, CA · On-site

$180K - $300K/yr

Staff Infrastructure Engineer About Us Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing-reshaping our future for the benefit ...

Vast.ai

Senior Infrastructure Engineer

Los Angeles, CA · On-site

$180K - $300K/yr

Staff Infrastructure Engineer About Us Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing-reshaping our future for the benefit ...

Vast.ai

Senior Infrastructure Engineer

San Francisco, CA · On-site

$180K - $300K/yr

Staff Infrastructure Engineer About Us Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing--reshaping our future for the benefit ...

RadixArk

AI Infra Resident (1-Year Program)

Palo Alto, CA · On-site

$116K - $148K/yr

RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI infrastructure engineers. The role involves rotating across various domains such as inference and training, working ...

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Entry Level Ai Infrastructure Engineer information

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$46.5K

$127.1K

$182K

How much do entry level ai infrastructure engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for entry level ai infrastructure engineer in the United States is $127,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $141,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Ai Infrastructure Engineer vs Data Engineer?

AspectEntry Level Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's in CS, EE, or related; familiarity with AI toolsBachelor's in CS, Data Science, or related; experience with databases
Work EnvironmentAI/ML teams, cloud platforms, infrastructure setupData pipelines, database management, cloud services
Industry UsageTech companies, AI startups, research labsFinance, healthcare, tech firms, data-driven industries

Entry Level Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, including cloud and hardware setups, while Data Engineers primarily develop data pipelines and manage data storage. Both roles require technical skills and often overlap in cloud environments, but they serve different core functions within data and AI projects.

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What cities are hiring for Entry Level Ai Infrastructure Engineer jobs? Cities with the most Entry Level Ai Infrastructure Engineer job openings:
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Entry Level Ai Infrastructure Engineer jobs near you
Infographic showing various Entry Level Ai Infrastructure Engineer job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

AI Infrastructure Engineer

AI Foundry

Seattle, WA • On-site

$122K - $160K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
AI Foundry is an AI building and consulting business working with some of the largest companies in the world. They are seeking AI Infrastructure Engineers to help build and operate large-scale GPU infrastructure for training and inference workloads, focusing on hands-on systems work across various technical domains.
Responsibilities:
• Build, configure, and operate GPU cluster infrastructure for training and inference workloads.
• Work across Linux systems, high-performance networking, storage, orchestration, monitoring, and automation.
• Support provisioning, configuration management, job scheduling, workload management, and lifecycle operations.
• Implement observability, alerting, incident response, and operational runbooks for infrastructure health.
• Partner with hardware, facilities, vendors, and engineering teams to resolve performance, reliability, and capacity issues.
• Automate repetitive operational tasks and improve the reliability of cluster operations.
• Help evaluate hardware, networking, storage, and platform components for AI workloads.
• Document systems clearly so global teams can operate and troubleshoot consistently.
• Travel to India 8+ times per year to work directly with infrastructure and client teams.
Qualifications:
Required:
• Strong Linux systems engineering experience and enjoy hands-on infrastructure work.
• Understanding of GPU infrastructure or deeply motivated to build expertise in NVIDIA systems, CUDA, NCCL, and distributed AI workloads.
• Experience with networking, storage, Kubernetes, Slurm, observability, automation, or related infrastructure tooling.
• Ability to troubleshoot complex systems methodically and communicate what you are seeing.
• Care about reliability, operational clarity, and repeatable systems.
• Comfortable working with incomplete information and learning quickly.
• Ability to collaborate with infrastructure, facilities, vendor, and engineering teams across time zones.
• Ability to write useful documentation and runbooks.
• Energized by building greenfield infrastructure at serious scale.
• Use AI and modern tools to improve how you build, debug, document, and operate systems.
• International travel required to India 8+ times per year.
Company:
Launching soon. Founded in , the company is headquartered in , , with a team of 2-10 employees. The company is currently Early Stage.

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