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GRAM is seeking an on-site hardware-focused engineer in El Segundo to own the architecture and integration of onboard sensing, compute, and communications for insectoid machines. You will oversee cameras, lidar, IMUs, encoders, compute modules, interfaces, and data pathways across the hardware-software boundary.
Responsibilities include defining subsystem architecture, selecting sensors against constraints, ensuring timing and calibration chains, and writing C++ or Python to integrate released
GRAM is a self-replication company creating machine labor for the physical economy.
Our first research frontier is self-preservation: the base case of physical self-replication. We are building a new class of machines called insectoids that can survive, coordinate, and recover without humans. We believe scalable machine labor requires more than single-agent task generality or machines shaped in our image.
You will own the architecture and integration of the onboard subsystems that let an insectoid sense, compute, communicate, and expose its state. Your scope spans cameras, lidar and ranging sensors, IMUs, encoders, contact and force sensors, compute modules, embedded boards, power and data interfaces, buses, networks, timing, calibration, harness interfaces, and the software pathways connecting them.
This is a hardware-centered role with real software responsibility. You will own subsystem selection, interface compatibility, integration configuration, and measured interaction across onboard sensing, compute, and communications.
The annual base salary range for this El Segundo position is $180,000-$220,000. An offer within this range will reflect the position's approved scope and the candidate's demonstrated role-relevant skills and experience.
This role is based on-site in El Segundo. You will work directly with sensors, boards, compute, harnesses, mounts, and software on benches and assembled machines. The work requires comfort moving between CAD, schematics, network traces, source code, calibration data, and physical instrumentation.
After submitting your application, we review your portfolio and any exceptional work you've shipped. If your application demonstrates the caliber we seek, you'll enter our interview process, which is designed for speed and substance. We aim to complete it within one week from start to finish.
GRAM expects deep trust and ownership from its people, and we begin by extending the same to candidates. We treat your information, prior work, and conv