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From Home Ai Infrastructure Engineer Jobs (NOW HIRING)

Spellbrush

AI Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

... is looking for an AI Infrastructure Engineer to join us in building out end-to-end ML ... from traditional CPU workloads in very interesting ways. Experience deploying, or even optimizing ...

Spellbrush

AI Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

... is looking for an AI Infrastructure Engineer to join us in building out end-to-end ML ... from traditional CPU workloads in very interesting ways. Experience deploying, or even optimizing ...

NIO USA, INC

AI Infrastructure Engineer

San Jose, CA

$192K - $249K/yr

About the Position We are looking for a senior AI Inference Infrastructure Software Engineer with ... Stay ahead of industry trends and competitor solutions, applying best practices from both AI and ...

The Josef Group

AI Infrastructure Engineer

Chantilly, VA · On-site

$110K - $144K/yr

AI Infrastructure Engineer Top Secret or TS/SCI is required to start $200K to $250K Chantilly, VA What You'll Do * Deploy and optimize self-hosted LLM inference servers (vLLM, Ollama, and similar)

NIO

AI Infrastructure Engineer

San Jose, CA · On-site

$126K - $165K/yr

About the Position We are looking for a senior AI Inference Infrastructure Software Engineer with ... Stay ahead of industry trends and competitor solutions, applying best practices from both AI and ...

NIO

AI Infrastructure Engineer

San Jose, CA · On-site

$126K - $165K/yr

About the Position We are looking for a senior AI Inference Infrastructure Software Engineer with ... Stay ahead of industry trends and competitor solutions, applying best practices from both AI and ...

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From Home Ai Infrastructure Engineer information

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How much do from home ai infrastructure engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for from home 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 From Home Ai Infrastructure Engineer vs From Home Data Engineer?

AspectFrom Home Ai Infrastructure EngineerFrom Home Data Engineer
Required CredentialsBachelor's in Computer Science, AI, or related field; certifications in cloud platforms and AI toolsBachelor's in Computer Science, Data Science, or related; certifications in data management and cloud services
Work EnvironmentRemote, collaborating with AI development teams, cloud infrastructure managementRemote, working with data pipelines, databases, and analytics teams
Employer & Industry UsageTech companies, AI startups, cloud service providersData-driven companies, finance, healthcare, tech firms

From Home Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, including cloud and hardware systems, while From Home Data Engineers primarily develop and manage data pipelines and storage solutions. Both roles require technical skills and often work remotely, but their core responsibilities differ in focus on AI systems versus data management.

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What are the most commonly searched types of Ai Infrastructure Engineer jobs? The most popular types of Ai Infrastructure Engineer jobs are:
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From Home Ai Infrastructure Engineer jobs near you

AI Infrastructure Engineer

Spellbrush

San Francisco, CA • On-site

$126K - $166K/yr

Full-time

Medical, Dental, Vision

Re-posted 29 days ago

Job description

The Role:

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 all platforms.


What you’ll do:

  • Design, implement and run our next-generation inference architecture for running all our models powering all platforms and applications (mobile, web, etc.).

  • Work alongside a fast-paced and nimble team developing the latest state-of-the-art image generation models serving over 16 million users

You might be a great fit if:

  • You have experience with large distributed systems
    You have familiarity with the latest hotness like K8S, Kafka, NATS, Redis, etc. You’ve cut your teeth on both on-prem and multi-cloud clusters. But most importantly, you deeply understand the tradeoffs and the failure mode of each system you introduce (and potentially even have the battle scars to prove it!).

  • You have an excellent understanding of GPU’s handling large workloads
    GPU workloads are different from traditional CPU workloads in very interesting ways. Experience deploying, or even optimizing them end-to-end, is a huge plus for this role

  • The anime aesthetic resonates with you.
    It's no secret – we're huge anime enthusiasts, and our work focuses on the anime aesthetic. Your work will enable millions of users to partake in an evolving creative movement.

  • You're comfortable working on small, fast-paced teams
    We currently have a small tight-knit team on AI. You'll be working closely alongside some of the best AI researchers in the world, on the literal best image model in the world.
    We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara), or San Francisco. Visa sponsorships are available.

The final base salary is dependent upon location, experience, fit, and other factors. In addition, we offer a generous compensation package that includes equity, top-tier employer-sponsored health, dental, and vision insurance, and additional perks!

At Spellbrush, we value creativity, collaboration, and innovation. If you're excited about working with cutting-edge technology and passionate about anime, gaming, and generative AI, we’d love to hear from you!

To apply - please share your previous work experience/resume, Github, or portfolio and the name of the best waifu or husbando in your message!