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Mesh Optical Technologies

Designs and mass-produces high-speed optical transceivers

Embedded Controls Engineer

Controls & Automation EngineeringConfirmed live in the last 24 hours
Full-timeGardena, CA, USA

About the Job

Requirements

  • A bachelor's or master's degree in electrical engineering, computer engineering, mechanical engineering, aerospace engineering, or a related discipline, with coursework in control systems.
  • At least 2 years of experience designing and implementing real-time control systems on embedded platforms.
  • Strong proficiency in C and/or C++ for embedded development, including bare-metal and real-time operating system environments.
  • A solid foundation in classical and modern control theory, including proportional-integral-derivative tuning, frequency-domain analysis, and stability assessment.
  • Experience with sensor integration, actuator interfacing, and low-level peripheral drivers, including I²C, SPI, analog-to-digital converters, pulse-width modulation, and encoders.
  • Proficiency in Python or MATLAB for modeling, simulation, data analysis, and test automation.
  • Strong debugging skills across hardware and software boundaries, including use of oscilloscopes, logic analyzers, and serial debug interfaces.
  • Ability to work independently in fast-moving, cross-functional environments.
  • Willingness to work extended hours and weekends as needed.

Responsibilities

  • Design, implement, and tune real-time control loops, including proportional-integral-derivative, state-space, feedforward, and adaptive control, for thermal management, optical alignment, motion control, and process regulation across product and factory systems.
  • Develop embedded firmware in C/C++ for microcontrollers and digital signal processors, including bare-metal and real-time operating system architectures, emphasizing deterministic timing and low-latency execution.
  • Model and simulate control systems to predict dynamic behavior, assess stability margins, and validate controller designs before hardware deployment.
  • Implement sensor fusion, Kalman and complementary filtering, and signal-conditioning algorithms to extract usable signals from noisy measurements.
  • Bring up and integrate sensors, actuators, and motor drives; define hardware-software interfaces and write low-level drivers for I²C, SPI, analog-to-digital converters, pulse-width modulation, and encoder interfaces.
  • Develop calibration routines and self-tuning algorithms for production-scale deployment despite unit-to-unit variation.
  • Instrument control systems with logging, telemetry, and diagnostic interfaces for real-time monitoring, fault detection, and post-hoc analysis.
  • Collaborate with electrical, mechanical, optical, and manufacturing engineering teams to co-design systems whose control performance is coupled to hardware design.
  • Support production deployment of control systems, including validation, fault handling, and graceful degradation for field-deployed units.
  • Contribute to Python-based tools for system identification, data analysis, simulation, and automated testing of control-system performance.

Desired Qualifications

  • Experience with state-space controllers, linear-quadratic regulator or linear-quadratic Gaussian methods, model predictive control, adaptive control, or system-identification methods.
  • Experience with motion-control systems, including stepper and servo motor drives, trajectory planning, and encoder feedback.
  • Experience with thermal-control systems, including multi-zone regulation and transient thermal management.
  • Familiarity with optical or photonic systems in which control loops manage alignment, power regulation, or wavelength tuning.
  • Experience with FPGA-based control implementations or high-speed digital control loops.
  • Experience with hardware-in-the-loop testing and simulation environments.
  • Background in robotics, precision mechatronics, or semiconductor equipment.
  • Experience deploying control systems at production scale, including calibration, self-test, and fault recovery for high-volume manufactured products.
  • Familiarity with Git, continuous integration and continuous delivery pipelines, and collaborative embedded-development workflows.

About the Company

Mesh Optical Technologies

Designs and mass-produces high-speed optical transceivers

Mesh Optical Technologies designs and mass-produces high-performance optical transceivers in the United States for data centers and AI infrastructure. Its flagship product, the Alpha C1, is an optical transceiver that converts electrical signals to light at 1.6 terabits per second. The device uses flip-chip die bonding in its optical engine and removes a power-hungry component to boost energy efficiency by about 3–5%, delivering lower latency and higher reliability for GPU clusters. Production is geared toward scalable manufacturing in the U.S. to reduce reliance on Chinese suppliers, with a plan to reach 1,000 units per day by the end of 2026 and begin bulk orders in 2027. The company aims to scale production, expand its integrated optical manufacturing capabilities, and become a key supplier for hyperscale computing and AI data centers.

Company size
11-50
Company stage
Early VC
Total funding
$50M
Headquarters
Los Angeles, CA
Founded
2025

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