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Associate Ai Infrastructure Engineer Jobs (NOW HIRING)

AI Infrastructure Engineer

Fremont, CA · On-site

$126K - $165K/yr

Development and deployment of AI infrastructure workloads on-prem (GPU scheduling, model serving ... infra engineering Benefits * Medical Insurance * Dental Insurance * Vision Insurance * 401(k)

AI Infrastructure Engineer

Fremont, CA · On-site

$126K - $165K/yr

Development and deployment of AI infrastructure workloads on-prem (GPU scheduling, model serving ... infra engineering Benefits * Medical Insurance * Dental Insurance * Vision Insurance * 401(k)

AI Infrastructure Engineer

Fremont, CA

$117K - $154K/yr

Development and deployment of AI infrastructure workloads on-prem (GPU scheduling, model serving ... infra engineering Benefits * Medical Insurance * Dental Insurance * Vision Insurance * 401(k)

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 ...

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 ...

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 strong hands-on experience building, optimizing, and deploying high-performance, scalable inference ...

About the Position We are looking for a senior AI Inference Infrastructure Software Engineer with strong hands-on experience building, optimizing, and deploying high-performance, scalable inference ...

AI Infrastructure Engineer

Chantilly, VA

$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)

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Associate Ai Infrastructure Engineer information

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How much do associate ai infrastructure engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for associate ai infrastructure engineer in the United States is $82,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $95,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior AI infrastructure engineers or machine learning engineers with extensive experience, specialized skills, and advanced certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-demand industries or companies. These roles often require expertise in cloud platforms, distributed systems, and deep learning frameworks, along with leadership responsibilities and a strong track record of impactful projects.

How much do AI infrastructure engineers make?

AI infrastructure engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning tools can command higher salaries.

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

AspectAssociate Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's in CS, Engineering, or related field; familiarity with cloud platformsBachelor's in CS, Data Science, or related; strong programming skills
Work EnvironmentAI/ML teams, cloud environments, infrastructure setupData pipelines, database management, data processing systems
Employer & Industry UsageTech companies, AI startups, cloud service providersTech firms, finance, healthcare, data-driven industries

Associate Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate, but their core responsibilities differ in infrastructure versus data processing.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI engineers, research directors, or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data infrastructure. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such salaries are rare and generally found in large tech companies or specialized AI firms.

What does an associate AI engineer do?

An associate AI engineer supports the development and deployment of artificial intelligence models and systems. They assist with data preprocessing, model training, testing, and optimization, often using tools like Python, TensorFlow, or PyTorch. This entry-level role typically requires foundational knowledge of machine learning concepts and programming skills.
More about Associate Ai Infrastructure Engineer jobs
What cities are hiring for Associate Ai Infrastructure Engineer jobs? Cities with the most Associate Ai Infrastructure Engineer job openings:
What are the most commonly searched types of Ai Infrastructure Engineer jobs? The most popular types of Ai Infrastructure Engineer jobs are:
What states have the most Associate Ai Infrastructure Engineer jobs? States with the most job openings for Associate Ai Infrastructure Engineer jobs include:
What job categories do people searching Associate Ai Infrastructure Engineer jobs look for? The top searched job categories for Associate Ai Infrastructure Engineer jobs are:
Infographic showing various Associate Ai Infrastructure Engineer job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $82,636 per year, or $39.7 per hour.
AI Infrastructure Engineer

AI Infrastructure Engineer

AMAX

Fremont, CA • On-site

$126K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago


Job description

  • Design, build, and operate on-prem infrastructure that behaves like a cloud environment for internal teams, including AI/ML workloads
  • Own datacenter and infrastructure operations: compute, storage, networking, and the automation layered on top
  • Build and maintain Infrastructure-as-Code using Terraform (Terragrunt), Ansible, etc.
  • Deploy, secure, and operate our HashiCorp stack (Vault, Boundary) alongside identity/access via Keycloak
  • Build and maintain observability with Prometheus, Grafana, and Alertmanager
  • Deploy and manage containerized workloads via Docker and Kubernetes
  • Design and maintain networking infrastructure: VLANs, routing, firewall rules, and load balancers
  • Write scripts/tools (and contribute code where useful) to automate operational toil
  • Provide general datacenter support for customers colocated in the HostMax datacenter - things like cabling, hardware swaps, rack/stack work, and basic troubleshooting
  • Participate in business-hours (M-F) on-call rotation for customer and infrastructure support
  • Participate in an SDLC/Scrum-based workflow, using Jira and Confluence for planning and documentation
  • Help define standards, runbooks, and best practices as the team grows
  • Development and deployment of AI infrastructure workloads on-prem (GPU scheduling, model serving infra, self-hosted AI tooling, etc.)

Requirements
  • Solid experience with Infrastructure-as-Code and Configuration-as-Code
  • Real-world on-prem/datacenter operations experience - this is explicitly not a cloud-native (AWS/GCP/Azure) role, though the environment is designed to feel cloud-like
  • Working knowledge of networking fundamentals: VLANs, routing, firewalls, and load balancers
  • Hands-on experience with containerization and orchestration (Docker, Kubernetes)
  • Proficiency with Git and standard version control workflows
  • Development/scripting skills sufficient to build internal tooling and automation (not just run existing playbooks)
  • Comfort with hands-on datacenter/hardware work (cabling, rack/stack, hardware troubleshooting) in addition to infra engineering

Benefits
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k)
  • Flexible spending account
  • Commuter benefits
  • Disability insurance

We also have a perfect location for all types of commuters: AMAX is located right between I-680 and I-880. Warm Springs/South Fremont BART station and bus stops are within a 10-minute walking distance. 5 grocery stores, 6+ coffee/tea places, and numerous restaurants within 1 mile. Feel free to try the delicious fusions or grab your daily groceries after work!
About AMAX
Established in 1979, AMAX is a globally recognized leader in GPU-accelerated IT infrastructure, specializing in transforming standard IT systems into advanced, high-performance computing solutions. Catering to industries such as AI, cloud computing, autonomous vehicles, and high-performance computing, AMAX has set benchmarks in innovation, including pioneering liquid-cooled HPC systems for the semiconductor industry. With a global footprint spanning North America, Europe, and Asia, AMAX offers end-to-end services from design and manufacturing to deployment. Committed to addressing the growing demands of AI, AMAX delivers advanced solutions that help organizations achieve their technology goal and drive progress on a global scale.
Join Us
Become part of a diverse and inclusive team that values your technical expertise and innovative thinking. Together, we'll push the boundaries of what's possible in the hardware industry.
AMAX is proud to be an equal-opportunity employer. We welcome all applicants and provide equal employment opportunities regardless of age, race, gender, or other legally protected characteristics.