Senior Software Engineer, Factory Software & ML Infrastructure

📋 Job Overview

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.

🏢 About Foundry Robotics

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

• 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

📌 Required Qualifications

• 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)

⭐ Desirable Experience

• 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)

🎁 Benefits

The base salary range for this full-time position in the location of San Francisco is: $150,000—$250,000 USD. Compensation packages at Foundry Robotics for eligible roles include base salary, equity, and benefits. Foundry Robotics employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, and generous PTO.

🛂 Visa & Eligibility

Experience working on projects related to the Department of Defense (DoD) is a nice-to-have, and the ability to obtain a government security clearance is desirable.