Own the vision for robotics software and controls platform, driving roadmap strategy, aligning with teams, and influencing executive decisions in a manufacturing context.

Lead product marketing for Bright Machines, defining positioning, messaging, and go-to-market strategy for AI and robotics-enabled manufacturing solutions.

The Senior Platform/MLOps Engineer will design and maintain scalable AI/ML infrastructures, implement training pipelines, and support robotic manufacturing systems.

The Senior Mechanical Engineer will design and build mechanical systems for intelligent factories, focusing on innovative design, system integration, and performance evaluation. They will collaborate with interdisciplinary teams and lead projects from concept to production while ensuring high quality and reliability standards.

As a Senior Platform Engineer, you'll design and maintain systems for Software Defined Manufacturing, ensuring reliability, scalability, and security in applications and tooling.

The role involves developing computer vision algorithms for defect detection, optimizing ML models, and deploying solutions in a manufacturing environment.

As a Software Quality Engineer, you will develop and execute tests for industrial software, collaborate on quality standards, and enhance testing processes.

Design, develop, and deploy software components for Software Defined Manufacturing. Ensure high-quality software through clean coding, testing, and collaboration in an Agile environment.

The Chief of Staff at Bright Machines partners with the CEO to drive strategic initiatives, enhance organizational effectiveness, and support executive leadership across the company.

The role involves designing and programming automated solutions, including controls for robotic systems, collaborating with teams, and analyzing customer needs.

Responsible for designing, developing, and deploying robotic automation systems, collaborating with teams to integrate hardware and software, and ensuring system functionality.

Lead development of robotic capabilities for manufacturing platform, integrating robotics, AI, and controls into production systems, ensuring program health and timely delivery.

Lead the development of robotics and hardware capabilities for a next-generation manufacturing platform, integrating hardware, software, and AI. Drive program lifecycle from design through validation, managing cross-functional teams to ensure timely delivery and alignment across disciplines.