Top Tech Jobs & Startup Jobs

Design and build scalable internal cloud infrastructure and developer productivity tools. Improve build/compute systems using containerization, remote caching, and job orchestration. Optimize CI/CD, analyze system usage, reduce onboarding time, and increase cost-efficiency for engineering workflows.

Lead and manage Skydio's Software Infrastructure Team, focusing on site-reliability engineering, observability, and cloud-to-drone infrastructure, while ensuring security and operational excellence.

As a Deep Learning Infrastructure Engineer, you'll build and scale infrastructure for deep learning, develop high-performance solutions, and optimize model deployment for computer vision tasks.

Lead the development of tools for the autonomy lifecycle, focusing on backend systems and front-end visualization to enhance developer experience and streamline workflows.

Design and build cloud-native and full-stack simulation systems, integrating APIs with the Skydio Simulator while ensuring scalability and reliability.

Design and implement deep learning solutions for detection, tracking, segmentation, and optical flow estimation tasks on drones. Requires experience in prototyping, optimizing, and deploying models while curating image datasets.

As a Deep Learning Engineer, design, implement, and deploy computer vision models for autonomy systems. Utilize real-world and synthetic data for training and evaluation, optimizing models for embedded hardware and developing benchmarks to assess performance.

The Customer Success Manager will oversee customer implementation, usage, and retention, while fostering relationships and managing a portfolio of accounts to drive value and expansion.

The engineer will develop and implement core motion planning software for drones, focusing on algorithms for behavior, control, and user interaction.

As an Autonomy Engineer, you will build scalable data pipelines and tools for machine learning, optimizing workflows for training and deployment.