Making humanoids dexterous enough to thread a needle. Backed by Y Combinator.
About the role
This role is for someone who likes being close to the hardware, close to Linux, and close to the robot. You will work across embedded Linux, camera bring-up, real-time sensing, IPC, device drivers, and high-rate robotics runtime systems. Instead of joining a large team to maintain legacy infrastructure, you will directly bring up and improve the systems that make our robotic hands work in the real world.
What they're looking for
- Demonstrated ability to build reliable software on embedded Linux systems using C/C++ or Rust
- Strong Linux system programming fundamentals, including threading, IPC, scheduling, memory management, DMA, interrupts, and debugging
- Hands-on experience with embedded camera stacks such as V4L2, Media Controller, libcamera, MIPI CSI-2, device tree, or sensor drivers
- Experience bringing up hardware interfaces such as CSI-2, SPI, I2C, UART, CAN, EtherCAT, USB, or PCIe
- Ability to debug real hardware using tools such as gdb, perf, strace, dmesg, ftrace, logic analyzers, and oscilloscopes
- Experience building low-latency sensing, perception, actuation, or control pipelines
More about this role
At Proception , we are building dexterous humanoid robotic hands for the next generation of manipulation models. Our hands combine high-DOF actuation, tactile sensing, visual feedback, and real-time control systems to help robots interact with the physical world with human-level dexterity.
This role is for someone who likes being close to the hardware, close to Linux, and close to the robot. You will work across embedded Linux, camera bring-up, real-time sensing, IPC, device drivers, and high-rate robotics runtime systems.
We are working on robotics, dexterous manipulation, embedded systems, and real-world AI deployment . We started Proception because we realized that humanoid hands are one of the biggest bottlenecks to building general-purpose robots.
The next generation of robot intelligence will not come from better models alone. It also needs better hands, better sensors, better data, and better real-time systems. That is what we are building.
Instead of joining a large team to maintain legacy infrastructure, you will directly bring up and improve the systems that make our robotic hands work in the real world.
- Understand our embedded Linux stack, robot runtime, sensing...
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