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Senior 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

$140 - $215/hr

We are seeking a highly versatile, hands‑on AI Infrastructure Engineer to join the AI Platforms team within IT Enterprise AI. In this role, you will build and operate the cloud, platform ...

Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns ... Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ...

WI · On-site

$100 - $140/hr

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 ...

WI · On-site

$100 - $150/hr

The Senior Infrastructure Engineer is a key technical leader responsible for the design, implementation, and optimization of Alterman's core technology infrastructure, with a primary emphasis on the ...

Sr Infrastructure Engineer

Neenah, WI · On-site

$109K - $149K/yr

As a Senior Infrastructure Engineer, you will provide expert-level technical leadership for enterprise networking platforms, including Cisco routing and switching, Cisco ACI, Meraki wireless, Palo ...

The Senior Infrastructure Engineer provides enterprise design and planning, installation, configuration, documentation, training, and day-to-day support of IT services related to the operation ...

Sr Infrastructure Engineer

Neenah, WI · On-site

$109K - $149K/yr

As a Senior Infrastructure Engineer, you will provide expert-level leadership across cloud and hybrid infrastructure environments, with a primary focus on Microsoft Azure, Infrastructure as Code, and ...

The Senior Infrastructure Engineer provides enterprise design and planning, installation, configuration, documentation, training, and day-to-day support of IT services related to the operation ...

New

WI · On-site

$175.10 - $334.75/hr

Executive Director, AI Infrastructure & Platform Engineering The Executive Director, AI Infrastructure & Platform Engineering is a senior engineering leadership role responsible for standing up ...

Senior AI Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

In the Senior AI Engineer position, you'll lead the development of intelligent, adaptive, and ... Strong understanding of AI model cost optimization, infrastructure scaling, and performance tuning.

Senior AI/ML Engineer

Watertown, WI

$99K - $136K/yr

We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...

Senior AI/ML Engineer

Watertown, WI

$99K - $136K/yr

We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...

Senior AI Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

In the Senior AI Engineer position, you'll lead the development of intelligent, adaptive, and ... Strong understanding of AI model cost optimization, infrastructure scaling, and performance tuning.

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...

Senior AI Engineer

Madison, WI

$120K - $158K/yr

Medica is seeking a Senior AI Software Engineer to design, build, and scale our next-generation AI ... Hands-on experience with infrastructure as code using Terraform or comparable declarative tooling.

Senior AI Engineer

Madison, WI

$120K - $158K/yr

Medica is seeking a Senior AI Software Engineer to design, build, and scale our next-generation AI ... Hands-on experience with infrastructure as code using Terraform or comparable declarative tooling.

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Showing results 1-20

Senior Ai Infrastructure Engineer information

What does a senior AI infrastructure engineer do?

A Senior AI Infrastructure Engineer is responsible for designing, building, and maintaining the large-scale computing systems that support artificial intelligence (AI) and machine learning (ML) workloads. They work on optimizing data pipelines, managing cloud or on-premise infrastructure, ensuring scalability, and enabling efficient training and deployment of AI models. These professionals collaborate closely with data scientists, software engineers, and IT teams to create robust, high-performance environments that support the rapid development and deployment of AI solutions.

What are the key skills and qualifications needed to thrive as a senior AI infrastructure engineer?

To thrive as a Senior AI Infrastructure Engineer, you need deep expertise in computer science, cloud computing, distributed systems, and AI/ML frameworks, often supported by a relevant degree and significant experience. Proficiency with tools such as Kubernetes, Docker, TensorFlow, PyTorch, and cloud platforms like AWS or Azure—as well as experience with CI/CD pipelines—is typically required. Strong problem-solving abilities, collaboration, and effective communication are standout soft skills for this role. These competencies are crucial for designing scalable, reliable AI infrastructure that supports complex machine learning workflows and organizational goals.

What are some typical challenges faced by senior AI infrastructure engineers when scaling AI systems for production?

Senior AI Infrastructure Engineers often encounter challenges related to managing large-scale data pipelines, ensuring low-latency model serving, and maintaining system reliability as user demand grows. Balancing resource allocation for compute-intensive workloads, optimizing infrastructure costs, and implementing robust monitoring are common hurdles. Collaboration with data scientists, DevOps, and product teams is crucial to streamline deployment cycles and rapidly address issues as they arise. Mastery of distributed systems and cloud platforms often distinguishes top performers in this role.

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 Senior Ai Infrastructure Engineer jobs in Wisconsin?

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

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

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

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

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

Infographic showing various Senior Ai Infrastructure Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 68% In-person, and 32% Remote job distribution.

AI infrastructure Engineer - Norway

WI • On-site

$100 - $130/hr

Other

Posted 24 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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