Senior Autonomy Engineer - Real-Time Computer Vision & SLAM

Showcify; United States; Remote; USD 170,000 - 278,000; Full time

Job summary

Skydio in the United States is seeking a talented computer vision engineer to architect and implement algorithms that run on every Skydio drone. You will work with a world-class team to bring theory into practical, real‑world deployments.

The role emphasizes hands‑on software engineering, real‑time estimation, mapping, and detection, with opportunities to prototype new approaches and influence product features. Proficiency in C++ and a collaborative, fast‑paced environment are essential.

Qualifications

• Hands-on experience with visual odometry, state estimation, mapping, and SLAM.
• Proficiency with probabilistic inference and 3D geometry.
• Optimization for computationally constrained environments.
• Deep learning - training data, neural networks, online learning.
• Solid software engineering foundation and a commitment to writing clean, well-architected code.
• High proficiency in C++.

Responsibilities

• Design and implement real-time estimation, mapping, tracking, classification, and detection algorithms.
• Imagine and then implement new features that unlock magic for our users.
• Characterize and quantify the performance of the vision system.
• Research and prototype new approaches.
• Be a generalist helping out on all aspects of the software when needed.

Skills

C++

Visual odometry

State estimation

Mapping

SLAM

Probabilistic inference

3D geometry

Deep Learning

Software engineering

Job description

Skydio in the United States is seeking a talented computer vision engineer to architect and implement algorithms that run on every Skydio drone. You will work with a world-class team to bring theory into practical, real‑world deployments.

The role emphasizes hands‑on software engineering, real‑time estimation, mapping, and detection, with opportunities to prototype new approaches and influence product features. Proficiency in C++ and a collaborative, fast‑paced environment are essential.