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Own UX for operator tablet apps and an AI-driven dashboard, conduct field research in customer warehouses, prototype rapidly in Figma and AI tools, ship v2 quickly, and define the product's long-term design vision while collaborating tightly with product and engineering.

Own and architect the autonomy software stack for drone and vehicle-mounted systems, building perception, localization, and inventory scanning pipelines that run on embedded compute, improving scan accuracy, integrating sensors, and iterating with hardware and field teams to ensure reliable production deployments.

Lead design and implementation of perception, localization, and inventory scanning pipelines for vehicle-mounted embedded systems. Own architecture, improve scan accuracy and sensor integration, build scan-triggering and mapping software, and collaborate with hardware, ML, and field teams to diagnose and iterate on deployed systems in warehouse environments.

Manage and scale production annotation operations: oversee vendor relationships, schedule and deliver labeled datasets, implement QA (IAA/gold-set), author SOPs/taxonomies, build Python workflows and API integrations, track work in Jira, and drive operational improvements to meet SLAs.

Own and evolve the robotics platform layer across drone and MHE products: ROS2/Zenoh communications, Docker-based deployments, diagnostics and observability tooling, deployment processes, and a roadmap to converge platforms while supporting multiple autonomy pods.

Develop and maintain production robotics software for drone or MHE vision platforms, analyze field data, build tooling and observability, debug systems onsite, and collaborate with cross-functional teams to improve reliability and expand product capabilities.

The role involves technical leadership in developing and integrating autonomous systems for logistics, including design, collaboration with teams, and mentoring.

Design and build a greenfield, multi-layer data warehouse and semantic metrics layer; separate analytics from OLTP; ensure data quality, traceability, tenant isolation, and high SLAs; enable linking of structured records to drone imagery/video; deliver self-service data access, observability, and infrastructure automation to scale across products and tenants.

Lead technical direction and hands-on implementation of enterprise-grade integrations, distributed services, and infrastructure. Improve scalability, reliability, security, observability, CI/CD, and APIs; mentor engineers; act as US-based customer technical contact to turn requirements into scoped production work.

The Senior QA Engineer will lead automation strategies, build and maintain test suites, design API automation, integrate testing into CI/CD, and collaborate cross-functionally for quality assurance.