Hybrid
Mid Level
Full Time
Posted January 14, 2026
Tech Stack
amazon-web-services
microsoft-azure
google-cloud-platform
python
kubernetes
docker
terraform
pytorch
tensorflow
aws-managed-services
appcast
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, ConsultNet, LLC, is seeking the following. Apply via Dice today!
Title: AI Infrastructure Engineer IV
Location : Northern Utah
Target Start Date : ASAP
Type: Contract-to-Hire (Direct Hire possible)
Pay Rate: $72.00-$85.00/hr ($150K-$175K)
**Overview**
Our client, a leader and growing presence in the robotics and autonomous vehicles space, is seeking a senior-level
**AI Infrastructure Engineer**
to architect and operate the high-performance computing environments that power advanced autonomous and AI systems. This role designs and scales GPU-accelerated, cloud, and distributed platforms that support AI research, model training, and production deployment.
You will partner with AI researchers, robotics engineers, and software teams to build reliable, secure, and high-throughput infrastructure that enables rapid experimentation and dependable field deployment.
**What You'll Do**
- Design and maintain high-performance compute, GPU, storage, and networking infrastructure for AI/ML workloads
- Build and operate cloud environments (AWS, Azure, Google Cloud Platform) optimized for scalability, performance, and cost efficiency
- Implement automation, CI/CD, DevOps, and MLOps pipelines for AI development and deployment
- Optimize compute and storage systems for throughput, latency, and reliability
- Monitor system health, capacity, and performance while resolving infrastructure bottlenecks
- Support model training, experimentation, and production deployment workflows
- Partner cross-functionally with AI, robotics, and software engineering teams
**Required Qualifications**
- Bachelor's degree in Computer Science, Engineering, or related field
- 10+ years in cloud, platform, or DevOps engineering
- 2+ years supporting AI/ML environments
- Strong proficiency in Python
- Experience with GPU-accelerated and distributed compute systems
- Hands-on experience with AWS, Azure, or Google Cloud Platform
- Experience with Kubernetes, Docker, Terraform, or similar orchestration tools
- Familiarity with PyTorch, TensorFlow, or comparable ML frameworks
- Strong troubleshooting, automation, and performance optimization skills
**Nice to Have**
- Experience supporting autonomy, robotics, or embedded AI systems
- Background in large-scale storage, high-throughput networking, or on-prem + hybrid cloud architectures
Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid.
For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact.
Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at .
We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.