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Senior Staff Software Engineer, Computer Vision and Video Processing (R3125)

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

10+ years of experience in software engineering, Bachelor's degree or higher in relevant field, Expertise in C++ for video processing, Strong knowledge of open-source libraries like GStreamer and OpenCV.

Key responsabilities:

Architect and develop video/image processing software
Guide technical decisions and mentor engineers

Shield AI Scaleup https://shield.ai/

501 - 1000 Employees

See all jobs

Job description

As a Senior Staff Software Engineer in our Hivemind Pilot organization, you will act as the technical conscience for our video and image processing pipeline software, ensuring its architectural soundness, scalability, and alignment with our product vision. Your role will focus on architecting, implementing, and releasing state-of-the-art video and image processing pipelines that form a core capability within the Hivemind Enterprise Software Development Kit (HM SDK). While this is not a people management role, it requires a seasoned technical leader who can guide the development of critical capabilities and set the standard for excellence in this domain.

You will enable internal and external users of our software products to leverage and extend these pipelines, empowering them to create custom applications for advanced robotics and defense. Your expertise will directly enhance the ability of autonomous agents to perform complex video and image processing tasks.

What you'll do:

Serve as the technical authority for video and image processing capabilities within our perception stack, driving technical decisions and ensuring robust design and implementation.

Architect and develop core video and image processing C++ software libraries, released as part of our software products to external customers.

Design and release video and image processing architectural components using our EdgeOS middleware product.

Integrate and streamline the use of popular open-source video and image processing libraries, such as GStreamer and OpenCV, within our software frameworks.

Implement out-of-the-box video and image processing capabilities for applications such as object detection, visual place recognition, visual odometry, and more.

Collaborate with other teams within Hivemind organization to build advanced perception capabilities using the pipelines you create.

Partner with Engineering and Product leaders to shape the technical roadmap for advanced video and image processing capabilities.

Mentor and guide less experienced engineers, fostering technical excellence and high standards across the team

Required Qualifications:

Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years with a Master’s degree; or 7 years with a PhD; or equivalent work experience.

Demonstrated excellence in designing and developing scalable, extensible C++ video and image processing software for CPU and GPU systems in Linux environments, preferably for autonomous systems.

Extensive experience working with open-source video and image processing libraries, such as GStreamer and OpenCV.

Proven expertise in C++ software architecture design patterns and their practical implementation.

Strong knowledge of video encoding standards (e.g., H.264 and H.265) and their application.

Experience developing video or image processing algorithms for electro-optional sensors.

Strong Git and Linux development skills, along with modern software development practices (e.g., CI/CD, test-driven development).

A track record of technical leadership, with the ability to set and maintain high standards, guide teams through complex technical challenges, and collaborate effectively.

Preferred Qualifications:

Experience with robotics perception algorithms and frameworks, including object detection and tracking, simultaneous localization and mapping (SLAM), and sensor fusion.

Familiarity with video or image processing algorithms for infrared sensors.

Hands-on experience working with EO/IR sensor hardware, such as pan-tilt-zoom cameras and MIPI interfaces.

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