Firmware & Algorithms Engineer

Mesa Quantum SystemsBoulder, CO
49dHybrid

About The Position

We are seeking an experienced Firmware & Algorithms Engineer who can bridge the gap between embedded systems development and sophisticated software algorithms for PNT applications. This role requires someone who can both develop robust firmware/HDL for our chip-scale atomic clocks and sensors, while also implementing advanced algorithms for clock ensembling, navigation, and threat detection. You'll work at the intersection of embedded systems, signal processing, and PNT applications—developing everything from low-level firmware (STM32 microcontrollers and/or FPGA) to high-level algorithms for spoof detection, jamming mitigation, and Kalman filtering for GPS-denied navigation.

Requirements

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or related technical field
  • 5+ years of professional experience developing firmware for embedded systems and/or HDL for FPGA
  • Strong proficiency in C programming for embedded systems and/or Verilog/VHDL for FPGA development
  • Experience with STM32 family of microcontrollers (preferably F4, L4, H7, or WB series) and/or FPGA platforms (Xilinx, Intel/Altera, Lattice, or Microchip)
  • Experience with RTOS (FreeRTOS, ThreadX, or similar) or FPGA state machines and timing-critical implementations
  • Proven experience implementing digital signal processing algorithms (FIR/IIR filters, FFT, correlation, etc.)
  • Practical experience with sensor fusion or state estimation algorithms (Kalman filters, complementary filters, particle filters)
  • Strong mathematical foundation in linear algebra, probability, and statistics
  • Experience with communication protocols (UART, SPI, I2C, USB) and at least one wireless protocol (BLE, WiFi, etc.)
  • Proficiency in Python or MATLAB for algorithm prototyping and data analysis
  • Experience with debugging tools for embedded systems (logic analyzers, oscilloscopes, JTAG/SWD)
  • Familiarity with version control systems (Git) and code review processes
  • Memory management and power optimization in resource-constrained systems
  • Real-time signal processing and control loop implementation (firmware or HDL)
  • Interrupt handling and real-time constraints / FPGA timing closure and pipelining
  • OTA firmware update mechanisms and bootloader concepts
  • Hardware abstraction layer (HAL) design
  • Digital design fundamentals (for FPGA: state machines, clock domain crossing, metastability)
  • Secure coding practices for embedded systems
  • Algorithm validation and performance characterization
  • Understanding of digital and analog electronics fundamentals

Nice To Haves

  • Experience with chip-scale atomic clocks, oscillators, or precision timing devices
  • Experience with GPS/GNSS systems and PNT applications
  • Practical experience implementing clock ensembling or frequency steering algorithms
  • Experience developing spoof detection or anti-jamming algorithms for GNSS
  • Machine learning/AI implementation for device compensation (temperature, aging, drift)
  • Experience with FPGA-based phase-locked loops (PLLs) or direct digital synthesis (DDS)
  • Experience implementing high-speed ADC/DAC interfaces and signal conditioning in FPGA
  • Experience with inertial navigation systems (INS) or magnetic navigation
  • Background in atomic physics, frequency references, or RF systems
  • Experience with timing standards and characterization (IEEE 1588, Allan deviation, phase noise analysis)
  • Knowledge of secure boot concepts and cryptographic implementations
  • Experience with continuous integration/continuous deployment (CI/CD) pipelines for firmware
  • Familiarity with IoT communication protocols (MQTT, CoAP)
  • Experience with STM32CubeIDE and STM32CubeMX tools
  • Published research or patents in PNT, timing systems, or sensor fusion
  • Experience with regulatory compliance for timing devices (FCC, CE, MIL-STD)

Responsibilities

  • Design and develop firmware for STM32 microcontrollers and/or FPGA implementations controlling atomic clocks and quantum sensors
  • Implement high-speed signal processing and control loops in FPGA (Verilog/VHDL) for real-time clock stabilization
  • Architect and implement secure over-the-air (OTA) firmware update solutions
  • Optimize firmware/HDL for resource-constrained environments (power, memory, processing, logic resources)
  • Develop drivers and integration solutions for sensors and peripherals
  • Implement phase-locked loops (PLLs), digital control systems, and frequency synthesis in FPGA or microcontroller
  • Collaborate with hardware teams to ensure optimal firmware-hardware interaction
  • Develop and implement clock ensembling algorithms to combine multiple atomic clock sources
  • Design and implement spoof detection and jamming detection algorithms for GNSS systems
  • Implement Kalman filters and sensor fusion algorithms for GPS-denied navigation (magnetic navigation, dead reckoning, inertial navigation)
  • Develop signal processing algorithms for atomic clock performance optimization
  • Create data analysis tools for characterizing device performance (Allan deviation, phase noise, etc.)
  • Implement machine learning models for temperature compensation and aging compensation of timing devices
  • Define software/firmware architecture for new quantum timing and sensing products
  • Design interfaces between embedded firmware and higher-level software systems
  • Create APIs and communication protocols for integrating our devices into customer systems
  • Develop testing frameworks and validation tools for both firmware and algorithms
  • Participate in design reviews and contribute to architectural decisions across hardware and software
  • Take ownership of significant firmware modules and algorithmic subsystems
  • Mentor junior engineers on embedded development and algorithm implementation best practices
  • Lead implementation of critical features (OTA updates, sensor fusion, threat detection)
  • Make informed trade-offs between performance, accuracy, power consumption, and development time
  • Create and maintain technical documentation for firmware components and algorithms

Benefits

  • Significant equity stake in a well-funded, rapidly growing deep-tech startup
  • Competitive salary and comprehensive benefits package
  • Hybrid/flexible work environment (location-dependent)
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