Senior Software Engineer, Factory Software & ML Infrastructure

Foundry Robotics•San Francisco, CA

3h•Onsite

About The Position

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. 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. This role 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.

Requirements

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 Haves

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)

Responsibilities

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
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
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
Implement APIs, services, database schemas, event-driven systems
Contribute to operator-facing tools and internal dashboards
Ship production-grade systems end-to-end