Autonomy Engineer - Deep Learning Infrastructure
Core
Building and scaling deep learning infrastructure to support high-performance inference, MLOps workflows, and model optimization for computer vision and vision language models in autonomous drones.
Role type
Senior IC deep learning infrastructure engineer
Builds
High-throughput, low-latency inference solutions, MLOps pipelines, GPU kernels, and SDKs for autonomous workflows
Domain
Autonomous drones, Computer Vision, Deep Learning Infrastructure
Deliverable
production ML models | infrastructure
Required skills
MLOps, deep learning inference optimization, computer vision fundamentals, GPU kernel development, ML framework expertise, model deployment and monitoring, system architecture design
Preferred skills
Experience with vision language models (VLMs), edge deployment, security and compliance in ML infrastructure
Technologies
GPU kernels, ML frameworks, MLOps tools, vision language models
Responsibilities
Develop high-performance deep learning inference solutions for CV workloads; Profile and optimize CV/VLM performance and power efficiency; Design and implement end-to-end MLOps workflows; Implement GPU kernels for custom architectures; Create SDKs for external developers to build autonomous workflows
Seniority
Senior, hands-on IC
