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Executive Ai Infrastructure Engineer Jobs (NOW HIRING)

AMAX

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)

AMAX

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)

Scout Motors

AI Infrastructure Engineer

Charlotte, NC · On-site

$105K - $137K/yr

Deploy and manage AI services across cloud and on-prem environments. * Automate infrastructure ... Collaborate with engineering, data, and product teams to support AI initiatives. * Excellent ...

AMAX

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)

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

Intel

AI Infrastructure Engineer

Santa Clara, CA · On-site

$170K - $315K/yr

We are looking for a performance-obsessed AI Infrastructure Engineer to push LLM inference to its absolute limits on Intel's next-generation GPU architectures. In this role, you will dive deep into ...

The Josef Group

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)

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 ...

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

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 ...

NIO

AI Infrastructure Engineer

San Jose, CA

$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 ...

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Executive Ai Infrastructure Engineer information

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$46.5K

$127.1K

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

As of Aug 17, 2026, the average yearly pay for executive 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 Executive Ai Infrastructure Engineer vs Data Engineer?

AspectExecutive Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in Computer Science, AI, or related fields; certifications in cloud platforms and AI toolsBachelor's in Computer Science, Data Science, or related; certifications in data management and cloud platforms
Work EnvironmentDesigning and overseeing AI infrastructure, collaborating with AI teams, managing cloud resourcesBuilding data pipelines, managing databases, ensuring data quality and accessibility
Employer & Industry UsageTech companies, AI startups, enterprises deploying AI solutionsData-driven companies, analytics firms, tech organizations handling large datasets

The Executive Ai Infrastructure Engineer focuses on designing and managing AI-specific infrastructure, ensuring optimal performance for AI applications. In contrast, a Data Engineer primarily builds and maintains data pipelines and databases to support analytics and machine learning. Both roles require technical expertise and often collaborate, but their core responsibilities differ in scope and focus.

What cities are hiring for Executive Ai Infrastructure Engineer jobs?

Cities with the most Executive 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 Executive Ai Infrastructure Engineer jobs?

States with the most job openings for Executive Ai Infrastructure Engineer jobs include:

Executive Ai Infrastructure Engineer jobs near you

AI Infrastructure Engineer

AMAX

Fremont, CA • On-site

$126K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 4 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.