Embedded Controls Engineer

EMBEDDED CONTROLS ENGINEER

Mesh Optical Technologies was founded on the belief that optical photons will be at the center of advanced technologies in the coming century. Making advanced technology ubiquitous means building at scale, and that’s exactly what we’re doing at Mesh.

Our products and factory equipment rely on real-time control systems that must be precise, stable, and fast—from thermal regulation and optical alignment loops to motion control and process automation. We are seeking an Embedded Controls Engineer who combines deep embedded programming expertise with strong controls and algorithms knowledge. You will design, implement, and tune the control systems that keep our hardware operating at the edge of its performance envelope.

RESPONSIBILITIES

• Design, implement, and tune real-time control loops (PID, state-space, feedforward, adaptive) for thermal management, optical alignment, motion control, and process regulation across product and factory systems
• Develop embedded firmware in C/C++ for microcontrollers and DSPs, including bare-metal and RTOS-based architectures, with emphasis on deterministic timing and low-latency execution
• Model and simulate control systems to predict dynamic behavior, assess stability margins, and validate controller designs prior to hardware deployment
• Implement sensor fusion, filtering (Kalman, complementary), and signal conditioning algorithms to extract clean, actionable signals from noisy real-world measurements
• Bring up and integrate new sensors, actuators, and motor drives, defining hardware-software interfaces and writing low-level drivers (I²C, SPI, ADC, PWM, encoder interfaces)
• Develop calibration routines and self-tuning algorithms that enable production-scale deployment of control systems with unit-to-unit variation
• Instrument control systems for observability—logging, telemetry, and diagnostic interfaces that support real-time monitoring, fault detection, and post-hoc analysis
• Collaborate with electrical, mechanical, optical, and manufacturing engineering teams to co-design systems where control performance is tightly coupled to hardware design
• Support production deployment of control systems, including validation, fault handling, and graceful degradation strategies for field-deployed units
• Contribute to Python-based tooling for system identification, data analysis, simulation, and automated testing of control system performance

QUALIFICATIONS

• Bachelor's or Master's degree in electrical engineering, computer engineering, mechanical engineering, aerospace engineering, or a related discipline with coursework in control systems