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2 manufacturing engineering internship jobs found

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Onsite manufacturing engineering internship $200,000 and up
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DR
Aug 05, 2026
Full time
Mechanical Design Engineer
$115,000 - $200,000 yearly
Droyd Robotics San Francisco, CA
About the Team Droyd builds autonomous robotic systems that automate repetitive manual work in real environments. We design and manufacture our hardware in-house, which means iteration, fabrication, and execution all happen under one roof. Our robots operate in production settings, which means mechanical design has to be robust, manufacturable, and tightly integrated with electronics and control systems. Our mechanical team designs the structures, linkages, and assemblies that make the robots real - this work moves fast and lives on the shop floor as much as it does in CAD. About the Role As a Mechanical Design Engineer at Droyd, you will own mechanical subsystems from first sketch through working prototype. You will design, build, break, and iterate on real hardware. This is a hands-on role. You will spend time in CAD, but also at the printer, in the shop, and on the robot, working closely with electrical, software, and robotics teams to bring systems together. This role...
AC
Aug 05, 2026
Full time
Senior Mechanical Engineer
$182,000 - $230,000 yearly
ATOMS Careers page San Francisco, CA
Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We're changing that. Atoms builds Physical AI- real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don't just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are...
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