Senior Embedded Software Engineer Resume Example

Principal Embedded Software Engineer · Aurora Innovation

Seattle, WA · 2022 - Present

• Led the development of safety-critical embedded software for L4 autonomous driving platform, achieving ASIL-D compliance and reducing critical system latency by 15% through optimized RTOS scheduling.
• Architected and implemented real-time sensor fusion algorithms (LiDAR, Radar, Camera) on ARM-based SoCs, improving object detection accuracy by 20% in adverse weather conditions.
• Managed a team of 4 junior engineers, guiding design reviews, code quality, and integration efforts, resulting in a 30% reduction in integration defects and accelerated feature delivery.
• Optimized QNX RTOS performance and resource utilization for high-throughput data processing, decreasing boot times by 25% and ensuring deterministic execution of critical control loops.
• Developed and maintained hardware abstraction layers and device drivers for custom automotive-grade ECUs, enabling seamless integration of new hardware components and reducing bring-up time by 18%.

Senior Embedded Software Engineer · Waymo

Mountain View, CA · 2018 - 2021

• Designed and implemented core embedded software modules for perception and path planning subsystems, enhancing pedestrian detection robustness by 18% in complex urban environments.
• Contributed to the development of a high-reliability communication stack (CAN FD, Automotive Ethernet) for inter-ECU data exchange, improving message throughput by 25% and reducing communication errors by 10%.
• Collaborated with hardware teams on board bring-up and validation for multiple generations of autonomous vehicle hardware, identifying and resolving over 50 hardware/software interface issues pre-production.
• Developed extensive unit and integration test frameworks for embedded software components using GoogleTest/GMock, leading to a 40% reduction in post-release bugs for critical modules.

Embedded Software Engineer · Boeing Research & Technology

Everett, WA · 2016 - 2017

• Developed flight control software components for experimental UAV platforms, ensuring DO-178C compliance and achieving a 99.9% uptime rate during test flights.
• Implemented sensor data acquisition and processing algorithms for various avionics sensors, reducing data latency by 20ms and improving system responsiveness.
• Performed hardware-in-the-loop (HIL) testing and debugging for embedded systems, identifying and resolving critical software defects that improved system stability by 15%.

M.S. in Electrical Engineering, specializing in Embedded Systems · Carnegie Mellon University

Pittsburgh, PA · 2018 - 2020

• Thesis: "Real-time Sensor Fusion for Lidar and Radar in Adverse Weather Conditions", achieved 92% accuracy in object classification.
• Relevant Coursework: Advanced Embedded Systems Design, Real-time Operating Systems, Automotive Functional Safety (ISO 26262), Machine Learning for Robotics.
• GPA: 3.9/4.0, Dean's List.

B.S. in Computer Engineering · University of Washington

Seattle, WA · 2012 - 2016

• Capstone Project: Designed and implemented a low-latency control system for a quadrotor drone using an ARM Cortex-M4 microcontroller.
• Relevant Coursework: Digital Signal Processing, Microcontroller Programming, Data Structures and Algorithms, Operating Systems.
• Magna Cum Laude, GPA: 3.8/4.0.

Senior Embedded Software Engineer · Texas Instruments

Austin, TX · 2023 - Present

• Led the development of firmware for a new generation of automotive microcontrollers, reducing boot-up time by 25% and improving power efficiency by 18% through optimized bare-metal drivers.
• Architected and implemented an RTOS-based (FreeRTOS) task scheduler for sensor data fusion, achieving a 30% reduction in processing latency for critical data paths.
• Mentored a team of 3 junior engineers on best practices for embedded C++ development, code reviews, and hardware debugging techniques, enhancing team productivity by 20%.
• Collaborated with hardware design teams to define peripheral interfaces and resolve hardware-software integration issues, reducing prototype iteration cycles by 1.5 weeks.

Embedded Systems Developer · Renesas Electronics

San Jose, CA · 2018 - 2022

• Developed and maintained firmware for industrial IoT devices using C and C++, focusing on reliability and low-power consumption, resulting in a 2-year battery life for key products.
• Implemented secure boot and over-the-air (OTA) update mechanisms, reducing field maintenance costs by 40% and enhancing device security against remote attacks.
• Optimized communication protocols (CAN, SPI, I2C) for high-speed data transfer between MCU and external sensors, increasing data throughput by 50% while maintaining signal integrity.
• Authored comprehensive design documentation and test plans, leading to a 95% pass rate in initial hardware validation stages and smoother product launches.

Robotics Control Engineer · Intuitive Surgical

Sunnyvale, CA · 2015 - 2018

• Designed and implemented real-time control algorithms for surgical robotics, improving motor control precision by 10% and reducing system latency by 5ms.
• Developed custom diagnostic tools and firmware for sensor calibration and fault detection, decreasing system downtime by an average of 15 hours annually.
• Collaborated with cross-functional teams to integrate software with complex mechanical and electrical systems, successfully deploying features that enhanced robot dexterity and surgeon feedback.
• Conducted extensive system testing and validation, ensuring compliance with medical device regulations and achieving a 99.9% uptime rate during critical operations.

B.S. in Electrical Engineering · University of Texas at Austin

Austin, TX · 2011 - 2015

• Graduated Magna Cum Laude with a GPA of 3.85/4.0.
• Relevant Coursework: Embedded Systems Design, Digital Signal Processing, Control Systems, Microprocessor Architecture, Data Structures and Algorithms.
• Thesis: 'Real-time Control Algorithm for Multi-Axis Robotic Arm', achieving 15% improvement in positional accuracy over previous methods.