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Senior AI Infrastructure Engineer

https://www.t-mobile.com Logo

T-Mobile

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Location:
United States , Bothell ▼

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

113600.00 - 205000.00 USD / Year
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Job Description:

This role will be responsible for designing, deploying, and maintaining high-performance computing environments optimized for AI and machine learning workloads. The role involves building scalable infrastructure, ensuring efficient workload management, providing self-service and on-demand tooling, and collaborating with teams to support AI-driven applications. This role will drive operational excellence, and work with diverse hardware and software solutions to enhance performance and reliability of our on-premises AI/ML infrastructure.

Job Responsibility:

  • Technical System Expertise: Understands system protocols, how systems operate and data flows
  • Technical Engineering Services: Drives engineering projects by active contribution to the application of engineering techniques
  • Innovation: Contributes to designs to implement new ideas which improve an existing and new system/process/service
  • Technical Writing: Writes basic documentation on how technology works
  • Technical Leadership: Collaborates with technical teams and utilizes system expertise to deliver technical solutions
  • Technology Strategy: Contributes to new and existing technology options that support business goals

Requirements:

  • 5+ years technical engineering experience, preferably in multiple technology focus areas
  • Expert understanding of AI/ML infrastructure components, or GPU-based systems – preferably in a high-availability, large scale environment
  • Hands-on Experience with NVIDIA DGX servers, BasePOD architectures, and advanced GPU technologies
  • Proficient in Linux/UNIX environments, including scripting/automation tools (Bash, Python, Ansible, Terraform)
  • Understanding of AI infrastructure security best practices
  • Experience with container orchestration (Kubernetes, Docker) and GPU workload management tools
  • Strong knowledge of networking (InfiniBand/Ethernet) and storage solutions in AI/ML contexts

Nice to have:

  • Understanding of CI/CD pipelines using tools such as Git, Artifactory, Jenkins, etc.
  • Experience with AI/ML pipelines (PyTorch, TensorFlow, RAPIDS AI, or other deep learning frameworks)
  • Experience with configuring and using monitoring tools (e.g., Prometheus, Grafana, NVIDIA DGCM)
What we offer:
  • Competitive base salary and compensation package
  • Annual stock grant
  • Employee stock purchase plan
  • 401(k)
  • Access to free, year-round money coaches
  • Medical, dental and vision insurance
  • Flexible spending account
  • Paid time off
  • Paid holidays
  • Paid parental and family leave
  • Family building benefits
  • Back-up care
  • Enhanced family support
  • Childcare subsidy
  • Tuition assistance
  • College coaching
  • Short- and long-term disability
  • Voluntary AD&D coverage
  • Voluntary accident coverage
  • Voluntary life insurance
  • Voluntary disability insurance
  • Voluntary long-term care insurance
  • Mobile service & home internet discounts
  • Pet insurance
  • Access to commuter and transit programs

Additional Information:

Job Posted:
April 05, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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