Embedded Controls Engineer

AnySignalLos Angeles, CA

About The Position

This role spans COTS integration and custom firmware development. You'll commission and tune drive hardware, close loops on real motors, and build embedded software for our own control electronics — all in service of high-accuracy tracking on deployed systems.

Requirements

  • Real experience closing feedback control loops on real motors — not just simulation
  • C/C++ on embedded or real-time platforms (RTOS, bare-metal, or RT Linux)
  • Hands-on integration with servo drives, motor controllers, or similar electromechanical systems
  • Comfortable with hardware interfaces (SPI, CAN, RS-485, EtherCAT, GPIO)
  • Ability to read schematics and debug at the board level
  • U.S. citizen, lawful permanent resident, protected individual under 8 U.S.C. 1324b(a)(3), or eligible to obtain the necessary authorizations from the U.S. Department of State.

Nice To Haves

  • Experience with commercial motion controllers (Galil, Delta Tau, PMAC, or similar)
  • Antenna pointing, telescope tracking, or robotics background
  • Firmware development for custom PCBs (MCU bring-up, BSP, peripheral drivers)
  • Python for tooling and test automation
  • Familiarity with satellite orbital mechanics or two-axis mount kinematics

Responsibilities

  • Own the motion control stack from controller design through field performance, including tuning, validation, and long-term reliability
  • Design, implement, and tune closed-loop control systems (cascaded PID, feedforward, gain scheduling) on real hardware
  • Implement trajectory generation and tracking algorithms for high-rate target profiles
  • Design and develop embedded firmware for a custom motor control board
  • Integrate with higher-level software systems for scheduling, telemetry, and remote operations
  • Instrument the control system for observability — logging, metrics, diagnostics — so we can monitor fleet health and debug remotely
  • Design calibration and self-check routines that keep performance tight over time and across deployed units
  • Build HIL/SIL test environments and validate control software before field deployment
  • Characterize system dynamics — friction, compliance, inertia — and translate into controller performance
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