Senior CV/ML Platform Engineer - GPU Infra/Edge Deployments

Allencontrolsystems; Austin (TX); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Health, Dental, Vision Insurance

Paid Time Off

Job summary

Allencontrolsystems in Austin, Texas is seeking a CV/ML Platform Engineer to design and manage infrastructure for its machine learning team. The role involves deploying Kubernetes clusters and managing NVIDIA GPU resources to ensure efficient ML model training.

The ideal candidate will have strong automation skills and experience with MLOps platforms. This position offers competitive salary and comprehensive benefits, including health insurance and paid time off.

Qualifications

• 2+ years of experience in Platform Engineering or DevOps/MLOps.
• Hands-on experience with NVIDIA GPU infrastructure.
• Experience implementing and maintaining MLOps platforms.
• Strong Linux systems knowledge, including networking.

Responsibilities

• Deploy and operate Kubernetes clusters on bare-metal infrastructure.
• Manage NVIDIA GPU clusters for ML training.
• Own the ACS CV/ML CI/CD pipeline.
• Improve and maintain core ML infrastructure.
• Automate model training and testing tasks.

Skills

Platform Engineering or DevOps/MLOps experience

Programming skills

NVIDIA GPU infrastructure

MLOps platforms experience

High-performance storage solutions

CI/CD pipeline development

Model optimization toolchains

Observability stacks

Linux systems knowledge

Job description

Allencontrolsystems in Austin, Texas is seeking a CV/ML Platform Engineer to design and manage infrastructure for its machine learning team. The role involves deploying Kubernetes clusters and managing NVIDIA GPU resources to ensure efficient ML model training.

The ideal candidate will have strong automation skills and experience with MLOps platforms. This position offers competitive salary and comprehensive benefits, including health insurance and paid time off.