Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Design, implement, and test firmware for critical components of an AI Robotics Humanoid, including motor controllers, battery management systems, and sensing hardware. Develop Python tools for automation and support CI/CD infrastructure. Collaborate on hardware/software integration in the lab.

Design, implement, and test embedded software for an AI Robotics company's general purpose humanoid. Responsible for developing Python tools, improving development environment, and supporting hardware/software integration. Requires 5+ years of software engineering experience and proficiency in C++, Python, and Linux.

Looking for a Cybersecurity Engineer to protect Figure robots and systems from cyber threats. Responsibilities include conducting risk assessments, designing security measures, promoting best practices, and ensuring compliance with cybersecurity standards. Requires a Bachelor's Degree and 5 years of experience in cybersecurity solutions for robotics, automotive, IoT, or similar industries.

Software Engineer role focused on developer productivity, automation, and continuous improvement to accelerate the development of the first humanoid robot for corporate tasks. Responsibilities include developing deployment tools, managing infrastructure, optimizing CI/CD pipeline, and collaborating with engineering teams for improvement plans.

Seeking a Senior Supplier Industrialization Engineer to onboard new vendors, evaluate and analyze their quality, and drive improvement initiatives to meet quality targets. Responsibilities include supplier evaluation, quality plan development, root cause analysis, and working with various parts suppliers. Requires 7+ years of manufacturing engineering experience and a Bachelor’s or Master’s degree in relevant fields.

Staff Equipment Engineer needed to select, install, and scale manufacturing equipment for robot prototype line. Responsibilities include detailed machine design, creating tooling, and collaborating with engineering teams. Ideal candidate has 7+ years of manufacturing engineering experience and expertise in manual and automated assembly techniques.

Lead the evaluation, selection, and implementation of a new MES system. Provide ongoing support, troubleshooting, training, and documentation related to MES processes. Design and implement interfaces between MES, PLM, and ERP systems.