5 months ago
Zürich, SwitzerlandSenior
Responsibilities
- Develop high-performance, low-latency deep learning inference solutions for computer vision workloads across different hardware platforms.
- Profile vision and vision-language models to identify performance bottlenecks and optimize acceleration and power efficiency.
- Design and implement end-to-end MLOps workflows for model deployment, monitoring, and retraining.
- Use machine learning knowledge, training and runtime frameworks, and model-efficiency tools to improve system performance.
- Create methods to improve training efficiency.
- Implement GPU kernels for custom architectures and optimized inference.
- Design and implement SDKs that enable customers and external developers to create machine-learning-based autonomous workflows.
- Improve engineering standards and collaborate across autonomy, embedded, and cloud teams.
Requirements
- Hands-on experience with MLOps, ML inference acceleration and optimization, and edge deployment.
- Strong knowledge of deep learning fundamentals, techniques, and current deep learning model architectures.
- Strong fundamentals in computer vision, image processing, and video processing.
- Hands-on experience building and managing ML pipelines for vision or vision-language tasks, including data preparation, model training, deployment, and monitoring.
- Understanding of security and compliance requirements in ML infrastructure.
- Experience with machine learning frameworks and libraries.
- Ability to drive concepts through architecture, development, testing, deployment, and monitoring across the software lifecycle.
- Ability to navigate and deliver within a complex codebase.
- Strong communication and collaboration skills across varying levels of technical depth.
Categories
About Skydio
Skydio builds autonomous drones, docking systems, and fleet management software for enterprise, public safety, and defense customers. It sells hardware with AI-based autonomy plus SaaS for fleet operations, inspections, and Drone-as-First-Responder programs. Founded in 2014 and headquartered in San Mateo, California, the company designs and assembles its products in the U.S., with manufacturing in Hayward, and its systems are used across utilities, law enforcement, and the U.S. military.