Senior Technical Program Manager - Robotics Software & Controls

San FranciscoFull timesenior

Technical Program ManagerProgram ManagerProject & Program Management

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Requirements Summary

Controls architecture and design milestones, Robotics software releases, Perception and ML integration, Hardware-software interface validation, S

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Technical Program ManagerProgram ManagerProject & Program Management

RETHINK MANUFACTURING

The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.

Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to create the factory of the future, we’d love to speak with you.

ABOUT THE ROLE

As a Senior Technical Program Manager, you will lead the development of core robotics and hardware capabilities within Bright Machines’ next-generation manufacturing platform, bringing AI-enabled, software-defined automation to data center infrastructure manufacturing.

You will drive the development of complex electromechanical systems that integrate robotics, perception, controls, and ML into scalable, production-ready platforms. Operating at the system level, you’ll align hardware, software, and manufacturing teams to accelerate time from silicon to revenue, delivering faster ramps, higher yield, and more predictable performance in real-world production environments.

This role sits at the intersection of robotics, AI, and advanced manufacturing, defining how intelligent infrastructure is built and scaled.

Lead end-to-end execution of software and controls programs that power Bright Machines’ next-generation manufacturing platform. Integrate robotics, perception, motion control, and AI-driven quality systems into scalable, production-ready solutions.

Partner with robotics software, controls, perception/ML, hardware, cloud, and manufacturing teams to deliver tightly integrated, high-performance systems.

Drive program planning for major platform releases, define scope, system requirements, integration milestones, validation strategy, and deployment readiness.

Operate at the intersection of software and physical systems. Identify dependencies across motion planning, real-time controls, machine vision, ML pipelines, embedded systems, and hardware interfaces. Surface and mitigate integration risks early.

Lead execution across: Controls architecture and design milestones, Robotics software releases, Perception and ML integration, Hardware-software interface validation, System-level testing and reliability validation

Release management and deployment readiness

Provide clear visibility into program health, including technical risks, integration bottlenecks, performance trade-offs, and schedule alignment.

Deliver high-quality releases on time with production-grade reliability. Escalate issues quickly, drive decisions, and maintain momentum in fast-moving environments.

Help build scalable program frameworks that support modular platform growth, faster customer deployments, and continuous software-driven improvement.

Bring structure and urgency without creating unnecessary process overhead.

Travel: Up to 25%, primarily during late-stage builds, supplier work, and customer validation phases.

BS or MS in Computer Engineering, Robotics, Electrical Engineering, Computer Science, or related field.

5+ years leading complex software and/or controls programs in robotics, automation, or intelligent systems.

Strong systems-level understanding of:

Robotics software stacks

Real-time controls and motion systems

Machine vision and perception pipelines

ML-enabled quality systems

Hardware/software integration

Release and deployment management