Autonomy Engineer - Deep Learning Infrastructure
Core
Building and scaling infrastructure for real-time deep learning inference, MLOps workflows, and GPU optimization to support autonomous flight systems for mobile robots.
Role type
Senior IC deep learning infrastructure engineer
Builds
High-performance inference pipelines, MLOps workflows, GPU kernels, and SDKs for autonomous workflows
Domain
Robotics, Computer Vision, Deep Learning Infrastructure
Deliverable
production ML models
Required skills
MLOps, ML inference acceleration/optimization, edge deployment, DL fundamentals, Computer Vision, image processing, video processing, ML frameworks, GPU kernel development, software lifecycle management
Preferred skills
Vision Language Models (VLMs), model efficiency tools, complex codebase navigation
Technologies
GPU, MLOps frameworks, ML inference frameworks
Responsibilities
Develop high-performance deep learning inference solutions for CV workloads; Profile CV and VLMs to identify bottlenecks and optimize 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
