Autonomy Engineer - Deep Learning Model Acceleration
Core
Building and scaling infrastructure for real-time deep learning inference and MLOps to support autonomous flight systems on drones.
Role type
Senior IC deep learning infrastructure engineer (model acceleration & MLOps)
Builds
High-performance inference pipelines, optimized GPU kernels, and SDKs for autonomous workflows
Domain
Robotics / Computer Vision / Deep Learning
Deliverable
production ML models
Required skills
MLOps, deep learning inference acceleration, computer vision, image/video processing, GPU kernel development, ML framework expertise, model deployment and monitoring, software lifecycle management
Preferred skills
Vision Language Models (VLMs), training efficiency optimization, complex codebase navigation
Technologies
GPU, MLOps frameworks, ML inference tools, SDK development
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
