Senior Software Engineer, Factory Software & ML Infrastructure

About the role

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. 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.

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

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)
• 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 factory
• Work across robotics, ML infrastructure, and industrial systems
• Grow into larger technical ownership over time
• Influence architecture and long-term system design
• Why Join Us?
• This is one of the only places where world-class manufacturing executives, mechanical engineers, robotics researchers, and software engineers sit in the same room building production systems together.
• We are focused on reinventing manufacturing to be localized, autonomous, and software-defined.
• The base salary range for this full-time position in the location of San Francisco is:
• $150,000-$250,000 USD

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