Autonomy Engineer - Deep Learning Model Acceleration

Skydio Inc.; Zürich; Vor Ort; CHF 80.000 - 100.000; Vollzeit

Zusammenfassung

Skydio Inc. in Zürich is hiring an Autonomy Engineer specializing in deep learning model acceleration for Computer Vision. You will work on high-performance solutions that improve ML inference and contribute to the development of groundbreaking autonomous flight technology.

The role requires expertise in MLOps, deep learning, and computer vision, with a focus on building efficient models and workflows. Candidates should have proven experience in managing ML pipelines and knowledge of the latest ML frameworks.

Qualifikationen

• Hands-on experience with MLOps and ML inference acceleration.
• Strong knowledge of deep learning and computer vision.
• Experience in building and managing ML pipelines.

Aufgaben

• Develop high-performance deep learning solutions.
• Profile models to analyze performance and bottlenecks.
• Design and implement MLOps workflows for deployment.

Kenntnisse

MLOps

Deep Learning fundamentals

Computer Vision

Machine Learning pipelines

GPU acceleration

Image processing

Tools

ML frameworks

Jobbeschreibung

Autonomy Engineer - Deep Learning Model Acceleration

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best‑in‑class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.

About the role

Learning a semantic and geometric understanding of the world from visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with real‑time deep networks to accelerate progress in intelligent mobile robots. If you are excited about leveraging massive amounts of structured video data to solve problems in Computer Vision (CV) such as object detection and tracking, optical flow estimation and segmentation, we would love to hear from you.

As a deep learning model acceleration engineer, you will be responsible for building and scaling the infrastructure that supports Skydio’s Deep Learning (DL) and AI efforts. You will be working at the nexus of Skydio’s autonomy, embedded and cloud teams to deliver new capabilities and empower the deep learning team.

Responsibilities

• Develop solutions for high‑performance deep learning inference for CV workloads that can deliver high throughput and low latency on different hardware platforms.
• Profile CV and Vision Language Models (VLMs) to analyze performance, identify bottlenecks and acceleration/optimization opportunities and improve power efficiency of deep learning inference workloads.
• Design and implement end‑to‑end MLOps workflows for model deployment, monitoring, and re‑training.
• Utilize advanced Machine Learning knowledge to leverage training or runtime frameworks or model efficiency tools to improve system performance.
• Create new methods for improving training efficiency.
• Implement GPU kernels for custom architectures and optimized inference.
• Design and implement SDKs that allow customers/external developers to create autonomous workflows using Machine Learning (ML).
• Leverage your expertise and best‑practices to uphold and improve Skydio’s engineering standards.

Qualifications

• Demonstrated hands‑on experience with MLOps, ML inference acceleration/optimization, and edge deployment.
• Strong knowledge of DL fundamentals, techniques, and state‑of‑the‑art DL models/architectures.
• Strong fundamentals in CV, image processing, and video processing.
• Demonstrated hands‑on experience building and managing ML pipelines for solving vision or vision‑language tasks including data preparation, model training, model deployment, and monitoring.
• Experience and understanding of security and compliance requirements in ML infrastructure.
• Experience with ML frameworks and libraries.
• Ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, deployment, and monitoring.
• Comfortable navigating and delivering within a complex codebase.
• Strong communication skills and ability to collaborate effectively at all levels of technical depth.

EEO & Equal Opportunity Statement

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state, or local anti‑discrimination laws.

For positions located in the United States of America, Skydio, Inc. uses E‑Verify to confirm employment eligibility. To learn more about E‑Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/