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Internship Ai Infrastructure Engineer Jobs in Wisconsin

WI · On-site

$100 - $130/hr

This role ensures stable, scalable, and high-performance infrastructure supporting next-generation AI compute operation. How You Will Stand Out * Degree in Computer Science, Data Engineering, or ...

WI · On-site

$100 - $140/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Infrastructure Engineer, Patching & Compliance About Cirrascale Cirrascale Cloud Services provides ... Our mission is to accelerate AI innovation by combining powerful hardware with white-glove service ...

New

AI & HPC Infrastructure Engineer

Milwaukee, WI · On-site

$105K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Global AI Infrastructure team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI, accelerated computing, and high-performance workloads.

WI · On-site

$175.10 - $334.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Empower the Security SRE Lead to maintain a world‑class security posture across the infrastructure and platform layers, with robust compliance to frameworks including HIPAA and NIST AI RMF.

New

WI · On-site

$175.10 - $334.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Empower the Security SRE Lead to maintain a world‑class security posture across the infrastructure and platform layers, with robust compliance to frameworks including HIPAA and NIST AI RMF.

New

WI · On-site

$175.10 - $334.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Empower the Security SRE Lead to maintain a world-class security posture across the infrastructure and platform layers, with robust compliance to frameworks including HIPAA and NIST AI RMF. * Govern ...

New

WI · On-site

$120 - $180/hr

... AI to drive outcomes at a time of exponential change with speed. With deep expertise in Managed ... Lead Cloud/Infrastructure Engineer We are seeking an experienced Lead Cloud and Systems Engineer to ...

WI · On-site

$120 - $180/hr

... AI to drive outcomes at a time of exponential change with speed. With deep expertise in Managed ... Lead Cloud/Infrastructure Engineer We are seeking an experienced Lead Cloud and Systems Engineer to ...

New

WI · On-site

$82.55 - $123.83/hr

... GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI ... Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI ...

New

WI · On-site

$75 - $95/hr

AI communication infrastructure * Secure and scalable AI solutions * Multilingual operational ... AI Developer to strengthen our team in Belgium. What you will do * Develop front‑end and ...

New

WI · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

TheAI Workflow Engineer / Automation Architect will work closely with AI leadership, product teams ... Evaluate emerging automation technologies, orchestration frameworks, and AI infrastructure tools.

New

Senior AI Engineer

Milwaukee, WI · On-site

$103K - $141K/yr

Oversee the development and deployment of robust AI infrastructure leveraging enterprise data lakes ... Mentor junior engineering staff and advise the Managing Director on technical priorities and secure ...

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Showing results 1-20

Internship Ai Infrastructure Engineer information

What does an internship AI infrastructure engineer do?

An Internship AI Infrastructure Engineer assists in designing, developing, and maintaining the foundational systems that support artificial intelligence (AI) applications. They work with cloud platforms, data pipelines, and scalable computing resources to ensure that AI models can be trained and deployed efficiently. Interns may help automate workflows, optimize performance, and collaborate with data scientists and software engineers. The role provides hands-on experience with the tools and frameworks commonly used in AI engineering environments.

What types of projects and responsibilities can an internship AI infrastructure engineer expect to work on?

As an AI Infrastructure Engineer intern, you can expect to be involved in projects that support the development, deployment, and scaling of AI models. Typical responsibilities may include optimizing data pipelines, maintaining and improving cloud or on-premise computing resources, and collaborating closely with data scientists to ensure efficient model training and inference. Interns often get hands-on experience with tools such as Docker, Kubernetes, and various cloud platforms, and work in cross-functional teams to troubleshoot and enhance AI workflows. This role provides a solid foundation in both software engineering and AI operations, preparing you for advanced positions in the field.

What are the key skills and qualifications needed to thrive as an internship AI infrastructure engineer, and why are they important?

To thrive as an Internship AI Infrastructure Engineer, you need a solid understanding of computer science fundamentals, programming (especially in Python or C++), and basic knowledge of machine learning frameworks, often supported by ongoing studies in a relevant field. Familiarity with cloud platforms (like AWS, GCP, or Azure), version control systems (such as Git), and containerization tools (Docker, Kubernetes) is typically expected. Strong problem-solving abilities, curiosity, teamwork, and effective communication help interns stand out and integrate quickly into engineering teams. These skills are crucial for supporting scalable AI solutions, collaborating on complex projects, and contributing meaningfully in a fast-evolving technical environment.

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

AspectInternship Ai Infrastructure EngineerData Engineer
Required CredentialsEnrolled in or recent graduate of Computer Science, Engineering, or related fields; some knowledge of AI and infrastructure toolsBachelor's or higher in Computer Science, Data Science, or related; experience with databases and data pipelines
Work EnvironmentInternship setting, collaborative teams, learning-focusedFull-time, technical teams managing data systems and pipelines
Employer & Industry UsageTech companies, AI startups, research labsTech firms, finance, healthcare, and other data-driven industries

The Internship Ai Infrastructure Engineer role focuses on supporting AI infrastructure projects during an internship, emphasizing learning and assisting with AI systems setup. In contrast, Data Engineers build and maintain data pipelines and infrastructure for data analysis. While both roles require knowledge of technical tools, the internship role is more entry-level and learning-oriented, whereas Data Engineers are more experienced and responsible for ongoing data management.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Wisconsin?

The most popular types of Ai Infrastructure Engineer jobs in Wisconsin are:

What are popular job titles related to Internship Ai Infrastructure Engineer jobs in Wisconsin?

For Internship Ai Infrastructure Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Internship Ai Infrastructure Engineer jobs in Wisconsin look for?

The top searched job categories for Internship Ai Infrastructure Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Internship Ai Infrastructure Engineer jobs?

Cities in Wisconsin with the most Internship Ai Infrastructure Engineer job openings:

AI infrastructure Engineer - Norway

Bitdeer Group

WI • On-site

$100 - $130/hr

Other

Posted 14 days ago


Job description

About Bitdeer

Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud.

Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence.

Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia.

About the Role

Architecting, deploying, and maintaining the infrastructure required for large-scale AI compute environments in a high-density AI data center.

What You Will Be Responsible For
  • Deploy and manage large-scale GPU clusters using orchestration platforms such as Kubernetes or Slurm
  • Optimize high-speed, low-latency networking (e.g., InfiniBand, RoCE v2) for distributed compute
  • Work closely with Project teams and operations to plan and monitor rack density across AI infrastructure
  • Implement and maintain high-throughput storage systems (e.g., Lustre, BeeGFS, WekaIO) supporting GPU-intensive workloads
  • Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools such as Terraform or Ansible
  • Troubleshoot and optimize performance across compute, networking, and storage infrastructure in a mission-critical environment
  • This role ensures stable, scalable, and high-performance infrastructure supporting next-generation AI compute operation.
How You Will Stand Out
  • Degree in Computer Science, Data Engineering, or related technical field (Master’s preferred)
  • Strong experience with Linux administration, containerization, and GPU infrastructure
  • Experience with orchestration and workload management platforms such as Kubernetes or Slurm
  • Familiarity with the NVIDIA infrastructure stack (CUDA, NCCL, Triton Inference Server)
  • Deep understanding of NVIDIA GB300 and VR NVL72 Scalable Units’ functionality
  • Experience working in HPC, AI infrastructure, or large-scale distributed compute environments
  • Experience with InfiniBand, RoCE v2, or high-performance networking architectures
  • Familiarity with AI-focused storage platforms such as Lustre, BeeGFS, or WekaIO
  • Experience with Terraform, Ansible, or other IaC frameworks
  • NVIDIA, Kubernetes, or cloud infrastructure certifications

Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

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