CV/ML Platform Engineer

About this role

Allen Control Systems seeks a CV/ML Platform Engineer to design and operate infrastructure supporting computer vision and machine learning development for autonomous defense systems. You'll manage a 130+ GPU Kubernetes cluster, build ML CI/CD pipelines, and enable high-velocity model training and optimization for edge deployment.

What you'll do

• Deploy and operate bare-metal Kubernetes clusters with 130+ NVIDIA GPUs and AWS burst capability
• Own CV/ML CI/CD pipelines and automate model training, testing, and validation workflows
• Maintain ML infrastructure including model versioning, experiment tracking, and data provenance systems
• Implement and optimize model deployment toolchains (TensorRT, quantization) for NVIDIA Jetson edge devices
• Manage high-performance storage solutions handling terabytes of video and image data
• Monitor GPU health, training throughput, and inference metrics using observability tools

What they're looking for

• Platform Engineering or MLOps (2+ years)
• Kubernetes and bare-metal GPU cluster management
• NVIDIA CUDA, GPU Operator, and GPU scheduling (MIG, Volcano)
• MLOps platforms (Kubeflow, MLflow, Weights & Biases, DVC)
• CI/CD pipeline development with model validation and artifact management
• Model optimization (TensorRT, ONNX, quantization) for ARM/Jetson
• High-performance storage (MinIO, WEKA, Ceph) and data orchestration
• Linux systems administration, networking, and observability (Prometheus/Grafana, ELK)

Benefits

• Competitive salary
• Health, Dental, Vision Insurance
• Paid Time Off
• Engineering-first culture focused on technical excellence
• Work on cutting-edge defense technology with real-world impact
• Founded by proven entrepreneurs with $180M in successful exits