Senior Software Engineer, Factory Software & ML Infrastructure

Foundry Robotics Inc

$150K — $250K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in building and shipping production software
  • Experience leading teams or major initiatives while remaining hands-on
  • Proficient in backend, frontend, and infrastructure.
  • Experience with systems like dispatch/scheduling or workflow engines
  • Knowledge of high-throughput data handling and event streams.
  • Designed cloud infrastructure (AWS/GCP/Azure) considering cost and reliability constraints.
  • Familiarity with on-premises/edge conditions and operational realities.

Responsibilities

  • Define architecture and product direction for Factory OS with a focus on shipping
  • Build full-stack systems: APIs, services, databases, frontends, and deployment infrastructure
  • Make pragmatic trade-offs in software development considering correctness, speed, and maintainability
  • Collaborate with operations and manufacturing personnel to translate floor realities into software solutions
  • Break down ambiguous problems into milestones, ship iteratively, and maintain system operability in production.

Benefits

  • Accelerated leadership trajectory with rapid advancement opportunities
  • Strategic influence over technical direction and product roadmaps
  • Opportunities for high-impact engagement with key stakeholders such as customers and investors.
Full Job Description
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 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

Compensation packages at Foundry Robotics for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. 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.

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