zaimler
Founding Hardware Engineer at Monty AI
San Francisco, CA
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About the role
- This is a unique opportunity to work with novel MEMS-based tactile sensors.
- Work with world-class founders from Meta Superintelligence Labs, Intel, and Stanford on the cutting edge of physical AI.
- Access proprietary, state-of-the-art active MEMS sensors with on-chip digitization through an exclusive hardware joint venture.
Responsibilities
- Architect and design high-density tactile glove electronics, including rigid-flex PCB layout, power distribution, and signal integrity.
- Develop low-level firmware for sensor data acquisition, synchronization, and deterministic streaming using RTOS and C/C++ protocols.
- Quarterback external mechanical and industrial design partners to ensure ergonomics, durability, and manufacturability of wearable hardware.
- Expert-level skill in rigid-flex multilayer PCB design using Altium and embedded firmware development for sensor fusion.
- Demonstrated experience managing external ME/ID contractors and manufacturing partners while maintaining a high bar for data fidelity.
- Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
Requirements
- The ideal candidate:
Benefits
- Flexible founding-level role with significant equity upside and the chance to build a real hardware moat for humanoid robotics.
- I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career.
Company info
- Monty AI - Building physical AI data infrastructure for humanoid robotics
- This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
- She will pick the best candidates from Jack's network
- The next step is to speak to Jack https://jackandjill.ai/jack/job-listing?utm_source=job_listing&utm_medium=job_board&utm_campaign=07ba2dd3-6bb5-417b-b8a5-bf6cc8488335.
- Founding Hardware Engineer, Tactile Systems
This listing is sourced directly from zaimler's careers page and normalized into a canonical job model.