Job Opportunities API

About Us Foundry Robotics is building an AI-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national-security-critical hardware. Basically, we’re building robots that build robots. We are reimagining manufacturing through advanced robotics. Our mission is to rebuild the American manufacturing industry as an AI-first, assembly-focused, dual-use contract manufacturer. We aim to empower manufacturers with intelligent, efficient, and adaptable robotic systems that redefine productivity and quality. As a founding member of our engineering team, you will have a direct and significant impact on our product, culture, and ultimate success. Our wedge isn’t just “models.” It’s the software layer that turns: - Orders → Schedules - Schedules → Work instructions - Work → Telemetry - Telemetry → Continuously improving throughput, quality, and cost This role is not robotics engineering. It is for senior software engineers who build the cloud + on-prem systems that run the factory, and the data backbone that makes those systems observable, reliable, and scalable. We are also hiring Robotics Research Engineers separately—this is a different role. The Role We are hiring a Senior Software Engineer (IC) to build the backend systems and infrastructure that power the factory of the future. You will design and implement: - Cloud-based backend systems - On-prem factory services - Embedded-to-cloud data flows - Petabyte-scale visual data pipelines - Machine learning infrastructure across multiple compute environments You will build production systems that stay online when factories are noisy, connectivity is imperfect, and downtime costs real money. This is a hands-on engineering role. You will ship. Key Responsibilities - Cloud + On-Prem Architecture - Build and maintain a cloud-based backend for planning, scheduling, execution, inventory, traceability, and telemetry - Design multi-compute environment architectures spanning embedded, on-prem, and cloud systems - Implement infrastructure-as-code using Terraform - Ensure secure, reliable data movement between factory floor and cloud ML INFRASTRUCTURE & DATA SYSTEMS - Build PB-scale visual data pipelines for ingesting, curating, indexing, and preparing manufacturing data - Design container orchestration and microservices architectures for ML infrastructure - Enable fine-tuning workflows and model deployment across hybrid compute environments - Implement workflow orchestration and data lifecycle management RELIABILITY + PRODUCTION SYSTEMS - Design systems that tolerate intermittent connectivity and degraded network modes - Build observability: metrics, logging, tracing, runbooks - Make pragmatic tradeoffs between correctness, speed, and maintainability - Maintain high uptime in industrial production environments FULL-STACK EXECUTION (WHEN NEEDED) - Implement APIs, services, database schemas, event-driven systems - Contribute to operator-facing tools and internal dashboards - Ship production-grade systems end-to-end What We’re Looking For - 3–6 years building and shipping real production software - Deep experience in backend systems and infrastructure, hybrid cloud + edge experience, infrastructure and DevOps, OR data at scale - Comfortable operating independently and owning complex systems end-to-end - Comfortable working at large scale (terabytes → petabytes) Nice to Have - Experience supporting machine learning infrastructure in production - Experience in manufacturing, robotics, or industrial systems - Ability to obtain a government security clearance - Experience working on projects related to the Department of Defense (DoD) Growth Opportunities - Help define the software backbone of an AI-native fact