Marcus T. Weidner

Profile

Senior Embedded Software Engineer with 9 years designing firmware and real-time control systems for automotive and industrial IoT applications. Specializes in bare-metal C/C++ on ARM Cortex-M, RTOS integration, and CAN/LIN protocol stacks. Reduced field failure rates by 34% across two product lines through disciplined static analysis and hardware-in-the-loop testing pipelines.

Work Experience

Senior Embedded Software EngineerMar 2020 - Present

Axiom Dynamics, Austin, TX

Architected a FreeRTOS-based motor control firmware stack for a 48V BMS platform, cutting interrupt latency from 180 µs to 42 µs and enabling ISO 26262 ASIL-B certification ahead of a $12M OEM contract deadline.
Developed a CAN FD diagnostic layer in C that reduced ECU field-return rate by 34% over 18 months by surfacing fault codes previously masked by legacy DTC logic.
Mentored 3 junior engineers through code review cycles and introduced PC-lint static analysis into the CI pipeline, eliminating 91% of MISRA-C violations within one sprint cycle.

Embedded Software Engineer IIJun 2017 - Feb 2020

Halcyon Sensing Solutions, San Jose, CA

Ported an industrial sensor fusion algorithm from MATLAB to bare-metal C on STM32F4, achieving a 5× throughput improvement and enabling real-time edge classification at 400 Hz sample rates.
Designed and validated an I2C/SPI driver abstraction layer used across 6 hardware SKUs, reducing board bring-up time from 3 weeks to 4 days per new platform.
Collaborated with RF hardware team to integrate a custom 915 MHz LoRa stack, extending field device battery life by 22% through adaptive duty-cycle firmware logic.

Embedded Software Engineer IAug 2015 - May 2017

Vantage Robotics Lab, Boulder, CO

Wrote bare-metal bootloader and OTA update manager for a Cortex-M0+ drone flight controller, supporting field firmware upgrades across a 200-unit deployed fleet without physical recall.
Implemented a PID-based gimbal stabilization loop in C++ that reduced image jitter by 61% as measured by optical flow variance metrics during flight testing.
Authored hardware abstraction layer for PWM, UART, and GPIO peripherals, cutting driver integration effort by an estimated 40% for subsequent product variants.

Profile

Work Experience

Education

Skills

Links