Responsibilities

• Lead the development of scene understanding systems responsible for calibrating spaces that contain hundreds of cameras.
• Translate state-of-the-art research into scalable, maintainable engineering systems.
• Manage ‘scene calibration’ technologies within the Scene Understanding Team by facilitating backlog refinements, communicating with stakeholders,,and collaborating on roadmaps with product managers.
• Work closely with other technology departments to deploy, monitor, and support Scene Understanding Services in hundreds of stores.
• Promote and enforce best practices in software development and project management.
• Mentor engineers and contribute to creating a collaborative remote team environment.
• Stay current with emerging AI trends and technologies to assess their potential applications in current and future projects.

Required Qualifications

• Bachelor's or master's degree in computer science or a related field
• 6+ years of experience as a Software Engineer
• Extensive experience in Python
• Proven experience working with RESTful APIs and OpenAPI, gRPC, and Protobuf, with knowledge of their design best practices and common libraries
• Proven experience interfacing with AI projects, with a focus on computer vision and geometry
• Proven experience in production.
• Excellent leadership, communication, and management skills

Additional Qualifications (desired)

• Experience with asynchronous processes and event-driven architectures
• Experience with containerized applications, Kubernetes and Docker
• Experience with Azure
• Experience with multi-view stereo technologies (turning images into 3D), such as Colmap
• Experience with SLAM or Structure from Motion
• Experience in a fast-paced, product-driven startup environment
• Experience with Golang
• Experience in the autonomous retail industry or a similar domain
• Experience in MLOps, DevOps, and build/release/deployment automation.