Allen Control Systems
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
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Allen Control Systems
Allen Control Systems builds autonomous defense systems, including gun turrets and drone-defense technology, using computer vision, control systems, and robotics. The company is hiring across software engineering, mechanical engineering, testing, and operations roles to support product development and scaled production.
View all jobs at Allen Control SystemsLikely interview questions
- Walk us through your experience managing large-scale GPU clusters. How have you handled scheduling, resource allocation, and multi-tenant workloads?
- Describe a CI/CD pipeline you've built for ML model training and deployment. How did you handle artifact management, versioning, and automated validation?