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Own end-to-end data labeling pipelines and vendor relationships, build annotation tooling and dataset browsers, define labeling taxonomies and QC standards, partner with researchers to design data collection strategies, monitor dataset metrics, integrate new data sources, and close the loop from labeled data to model improvement.

Own the reliability, scalability, and operational health of an AWS and Kubernetes-based platform supporting connected sensors. Responsibilities include production troubleshooting, incident leadership, infrastructure management with Terraform, automation, CI/CD improvements, observability, service-level objectives, runbooks, and post-incident reviews. The role partners with application, AI, embedded systems, and fleet teams and participates in on-call support.

Lead and run engineering-facing operations: manage hardware test sites, internal deployments, field sustainment, IT and lab infrastructure, inventory/asset tracking, test operations, vendor coordination, and translate field findings into prioritized feedback for engineering and product.

Embed with customers to discover high-value use cases, lead post-sales discovery, coordinate sales/deployment/engineering to deliver solutions, and drive expansion and renewal by co-developing generalizable product features. This is a field role requiring in-person engagement, technical fluency across platform/ML/firmware/hardware, and the ability to influence product direction without direct ownership.

The software engineer will design, deploy, and scale distributed systems for our sensing platform, focusing on reliability, performance, and cross-functional collaboration with hardware and application teams.

The role involves designing ML pipelines for computer vision, optimizing models for edge deployment, and developing data management systems for sensor datasets.

The ML Research Engineer will implement and deploy deep-learning models for perception AI, manage data pipelines, and design user interfaces.

The Embedded Software Engineer will design and maintain firmware for sensor nodes, integrate hardware modules, and improve system performance in real-world applications.

Specter seeks a Systems Software Engineer to develop low-latency networking and command control systems that connect embedded and cloud systems, focusing on efficient data handling for their hardware-software ecosystem.

The Manufacturing Engineer will manage the transition of hardware products from design to production, focusing on manufacturability, build processes, and quality systems, while collaborating with engineers and suppliers.