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Supports repair-center logistics for autonomous retail robots, including refurbishing, shipment preparation, inbound and outbound tracking, inventory management, cycle counts, audits, reconciliations, and parts returns. Uses Jira and tracking reports to coordinate robot swaps and deliveries with logistics partners. Ensures shipping and customs compliance, physically handles robots and inventory, and recommends process improvements. The role is locally based and requires warehouse and logistics experience.

Build and lead Simbe Robotics' accounting function: oversee monthly close, reconciliations, AR/collections, controls, external audit and tax relationships, lender reporting, and scale accounting systems/processes for enterprise growth and early international expansion.

Lead Simbe's editorial and communications strategy, building narratives, executive platforms, PR and analyst relations to strengthen reputation and accelerate commercial growth across earned, owned, and customer channels. Manage agency partners, editorial calendar, public affairs, and cross-functional programs to position Simbe as the category leader in Physical AI and Store Intelligence.

As a Senior Robotics Software Engineer, you will maintain and improve the Tally software stack, develop new software packages, enhance autonomy and navigation, and assist in DevOps and CI/CD processes.

As a Software Engineer, you will develop and maintain the Tally software stack, enhance robot navigation and autonomy, and support CI/CD processes.

Investigate and resolve customer issues across robotic and software systems using diagnostics, telemetry, logs, and monitoring tools. Reproduce problems, identify root causes, collaborate with Engineering, Product, and Operations, and document findings. Build scripts, automations, and AI-assisted workflows to improve investigation efficiency. Identify systemic issues, contribute to runbooks and escalation procedures, and help scale support operations.

Manage the full deployment lifecycle for retail locations, coordinating installation, network setup, configurations, and troubleshooting, while building automation and ensuring quality.

Build, train, evaluate, and deploy production computer vision models (detection, segmentation, OCR, barcode decoding, visual search). Own dataset quality, tooling, model releases, inference exports, and monitoring. Collaborate cross-functionally to improve model performance, robustness, and deployment for retail robotics and edge environments.

Lead design, integration, and optimization of production robot perception pipelines (detection, segmentation, depth, tracking, SLAM). Bridge computer vision and robot autonomy, optimize real-time inference on edge GPUs, debug field failures, define system benchmarks, and provide technical leadership and mentorship across teams.

Own and improve annotation systems, workflows, and tooling to produce high-quality training data. Build Python and web tools, integrate model-assisted labeling and active learning, implement data quality checks, support dataset versioning and evaluation, and coordinate cross-team efforts to measure and improve annotation throughput and model impact.