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Benjamin Cheng

@benjamincheng2

Senior Safety Software Engineer at Box building autonomous warehouse robotics perception systems with 99.97% detection reliability.

United States

Message

At Box, I architect and implement safety-critical perception software for autonomous robots working alongside people in warehouses. The camera and LiDAR system achieved 99.97% detection reliability across 2M+ operational hours.

I develop real-time software on Linux and QNX using C++, Rust, DDS, and ROS 2, with deterministic perception processing under 10ms. My work includes safety monitors and compliance with ISO 13849 and IEC 61508.

At Salesforce, I developed embedded safety monitoring and perception integration for autonomous industrial platforms. I implemented watchdogs and fail-safe mechanisms, and worked on ROS 2 sensor integration processing 1.2TB of data daily.

Earlier, at Philips and IBM, I developed embedded perception and functional safety software for medical, industrial, and robotics systems. I’ve also performed board bringup, built testing and CI/CD frameworks, and mentored engineers on safety-critical coding standards.

Experience

Work history, roles, and key accomplishments

Current

Senior Safety Software Engineer

Current

Box

Apr 2019 - Present (7 years 5 months)

Architected and implemented a functionally safe perception system in C++ and Rust for autonomous robots in warehouse environments, achieving 99.97% safety-critical detection reliability. Led board bringup, optimized Linux kernel modules, and mentored junior engineers on safety-critical coding standards.

C++C Rust Python ROS2 QNX Linux Kernel DDS PyTorch TensorFlow OpenCV PCL LiDAR Camera Sensors Jenkins Gitlab CI Docker Bazel Coverity Polyspace VectorCast MISRA C C++ISO 13849 IEC 61508 eBPF Ftrace Linux Perf JTAG GDB

Senior Embedded Safety Software Engineer

Salesforce

Aug 2016 - Mar 2019 (2 years 7 months)

Designed and developed safety-critical embedded software in C++ and C for real-time safety monitoring systems on QNX RTOS, achieving 99.99% system availability. Architected ROS 2-based perception integration for camera and LiDAR sensors, and implemented functional safety requirements per IEC 61508 SIL 2 and ISO 13849 PLd.

C++C Python ROS2 QNX Linux Kernel Preempt RT IEC 61508 ISO 13849 FMEA FTA Hazop PyTorch TensorFlow OpenCV LiDAR Camera Sensors Jenkins Docker Ansible Coverity MISRA C JTAG GDB CAN

Embedded Safety Software Engineer

Philips

Apr 2016 - Aug 2016 (4 months)

Developed safety-critical embedded software in C and C++ for real-time perception systems, implementing sensor fusion algorithms for camera and LiDAR data. Engineered real-time software on QNX RTOS and Linux for safety monitoring, and optimized Linux kernel configuration for embedded perception hardware.

C C++Python QNX Linux Kernel IEC 61508 ISO 13849 Camera Sensors LiDAR VectorCast JTAG Logic Analyzers GDB CAN MISRA C

Safety Systems Software Engineer

IBM

Apr 2012 - Apr 2016 (4 years)

Developed safety-critical software in C and C++ for industrial automation and robotics systems, implementing safety monitoring, emergency stop logic, and fail-safe mechanisms. Architected perception systems using camera and LiDAR sensors, and implemented functional safety requirements per ISO 13849 and IEC 61508.