ZipRecruiter

Log In

1

Ai Infrastructure Job Jobs (NOW HIRING)

Spellbrush

AI Infrastructure Engineer

San Francisco, CA · On-site

$126.70K - $166.10K/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 ...

Bitwise

Software Engineer - AI Infrastructure

Laurel, MD

$171.50K - $203.20K/yr

Software Engineer - AI Infrastructure An active TS/SCI clearance with polygraph is required for this role Hey! Bitwise is a leading provider of mission-focused intelligence solutions that advance ...

Spellbrush

AI Infrastructure Engineer

San Francisco, CA · On-site

$126.70K - $166.10K/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 ...

Bitwise

Software Engineer - AI Infrastructure

Laurel, MD · On-site

$171.50K - $203.20K/yr

Software Engineer - AI Infrastructure ** An active TS//SCI clearance with polygraph is required for this role ** Hey! Bitwise is a leading provider of mission-focused intelligence solutions that ...

next page

Showing results 1-20

People also search for

All JobsAi Infrastructure Job Jobs

Ai Infrastructure Job information

See salary details

$28

$59

$87

How much do ai infrastructure job jobs pay per hour?

As of May 30, 2026, the average hourly pay for ai infrastructure job in the United States is $59.18, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $68.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in an AI Infrastructure role, and why are they important?

To excel in an AI Infrastructure role, you need a strong background in computer science, cloud computing, and distributed systems, often supported by a relevant degree and experience with large-scale data environments. Proficiency with tools like Kubernetes, Docker, TensorFlow, PyTorch, and cloud platforms such as AWS, Azure, or Google Cloud is essential, along with familiarity with CI/CD pipelines and automation frameworks. Strong problem-solving, collaboration, and communication skills help drive innovation and facilitate cross-functional teamwork. These abilities ensure the robust, scalable, and efficient deployment of AI solutions that meet organizational needs.

What are some common challenges faced by professionals working in AI infrastructure roles?

Professionals in AI infrastructure roles often encounter challenges such as ensuring scalability and reliability of systems to handle large volumes of data and compute-intensive workloads. Managing the integration of diverse tools and frameworks, optimizing hardware and cloud resources, and maintaining security and compliance are also critical aspects. Additionally, effective collaboration with data scientists, software engineers, and DevOps teams is essential to streamline AI model deployment and monitoring. Staying current with rapidly evolving technologies is key to overcoming these challenges.

What is an AI Infrastructure job?

An AI Infrastructure job involves designing, building, and maintaining the foundational systems and tools required to support artificial intelligence and machine learning workloads. These professionals work on scalable computing environments, manage large datasets, and ensure high-performance computing resources are available for AI development and deployment. Their responsibilities often include optimizing hardware (like GPUs and TPUs), developing cloud-based solutions, and establishing reliable pipelines for data and model management. AI Infrastructure specialists collaborate with data scientists, ML engineers, and IT teams to deliver robust, efficient, and secure platforms that power AI applications.

What is the difference between Ai Infrastructure Job vs Data Engineer?

AspectAi Infrastructure JobData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI frameworksBachelor's in CS, Data Science, or related; programming skills in SQL, Python
Work EnvironmentData centers, cloud platforms, AI labsData pipelines, cloud environments, database systems
Industry UsageAI development, machine learning deploymentData processing, analytics, data pipeline creation

Ai Infrastructure Jobs focus on building and maintaining the hardware and software systems that support AI applications, including cloud and data center infrastructure. Data Engineers primarily develop and manage data pipelines and storage solutions to enable data analysis and machine learning. While both roles require technical skills and work in tech environments, Ai Infrastructure Jobs are more hardware and system-focused, whereas Data Engineers concentrate on data flow and management.

More about Ai Infrastructure Job jobs
What cities are hiring for Ai Infrastructure Job jobs? Cities with the most Ai Infrastructure Job job openings:
What states have the most Ai Infrastructure Job jobs? States with the most job openings for Ai Infrastructure Job jobs include:
What job categories do people searching Ai Infrastructure Job jobs look for? The top searched job categories for Ai Infrastructure Job jobs are:
Ai Infrastructure Job jobs near you
AI Infrastructure Engineer

AI Infrastructure Engineer

Spellbrush

San Francisco, CA • On-site

$126.70K - $166.10K/yr

Full-time

Medical, Dental, Vision

Posted 19 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 systemsYou 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 workloadsGPU 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 teamsWe 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!

Apply