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M
Meta
Electrical CAD and Manufacturing Lead, Robotics Hardware Engineering
Career Insights for Robotics Engineer
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What they do
A Robotics Engineer designs robots, maintains them, develops new applications for them, and conducts research to expand the potential of robotics. Utilizes a combination of electrical, mechanical, and software engineering. Common coding languages are C++ and Python.
$135,291 / year median in California
+5% projected growth
Job Description
Electrical CAD and Manufacturing Lead, Robotics Hardware Engineering Meta - 4.0 Burlingame, CA Job Details $173,000 - $245,000 a year 1 day ago Qualifications CAD software Fabrication Manufacturing management Enterprise software Design of manufacturing processes PDM software Electrical technical documentation Engineering project drawing management Mechanical assembly drawings Electronics design Supplier relationship improvement Managing design projects Project management lifecycle Printed circuit board (PCB) layout Vendor relationship management Leading team collaboration initiatives Grounding systems Vendor negotiation Quality standards in production Collaboration with manufacturing teams Managing projects Manufacturing company experience Product lifecycle management Engineering manufacturing support Full Job Description At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences.
To continue our efforts on the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.
Meta Robotics Studio is seeking an Electrical CAD and Manufacturing Lead. This role is pivotal in owning the full lifecycle of printed circuit board design, fabrication, and assembly — from multi-layer layout through DFM/DFA optimization, vendor coordination, and delivery of production-quality hardware to internal engineering teams. You will lead PCB design efforts across a diverse portfolio of robotic subsystems (power distribution, motor controllers, perception, main logic, sensor interfaces) while establishing and maintaining design standards, library infrastructure, and manufacturing processes that enable rapid, high-quality prototype iteration.
Candidates should be comfortable working in a high ambiguity, fast-paced environment where full system requirements are seldom known. This team is dedicated to building hardware that enables learning through data collection and system testing.
To continue our efforts on the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.
Meta Robotics Studio is seeking an Electrical CAD and Manufacturing Lead. This role is pivotal in owning the full lifecycle of printed circuit board design, fabrication, and assembly — from multi-layer layout through DFM/DFA optimization, vendor coordination, and delivery of production-quality hardware to internal engineering teams. You will lead PCB design efforts across a diverse portfolio of robotic subsystems (power distribution, motor controllers, perception, main logic, sensor interfaces) while establishing and maintaining design standards, library infrastructure, and manufacturing processes that enable rapid, high-quality prototype iteration.
Candidates should be comfortable working in a high ambiguity, fast-paced environment where full system requirements are seldom known. This team is dedicated to building hardware that enables learning through data collection and system testing.