Robotics Software Engineer (Systems & Perception)

Hidonix Industries; Santa Monica (CA); On-site; USD 90,000 - 100,000; Full time

Benefits offered by this job

Flexible PTO

Job summary

Hidonix Industries is seeking a Robotics Software Engineer (Systems & Perception) to lead the integration of high-level perception and low-level control for autonomous platforms. The role involves building a ROS2 production framework, developing sensor fusion, and ensuring reliable, real-time operation.

You will own the architectural integrity of autonomous systems, including stair-climbing rover and wearable tech, with a focus on reliability and performance in industrial settings.

Qualifications

• Expert-level C, C++, and Python; able to switch between low-level driver work and high-level scripting.
• ROS/ROS2 experience with hardware communication protocols (CAN, UART, SPI, I2C).
• Hands-on computer vision with OpenCV or similar frameworks.
• Strong networking knowledge including video encoding (H.265/H.264) for remote operation.
• Experience with MCUs (FreeRTOS or bare-metal) and interfacing with high-level compute modules like NVIDIA Jetson.

Responsibilities

• Lead the architectural transition to a production-ready ROS2 framework.
• Design and optimize perception sensor-fusion pipelines (LiDAR, stereo vision, IMUs).
• Develop deterministic firmware for MCUs (RP2040, ESP32, nRF52) for motor control.
• Engineer robust low-latency telemetry between edge devices and remote servers.
• Manage software environments on Linux-based edge compute modules and deployments.

Skills

C/C++

Python

ROS/ROS2

OpenCV

Sensor fusion

Networking

MCUs

Tools

NVIDIA Jetson

Linux

Docker/Balena

Job description

We're Hiring! Robotics Software Engineer (Systems & Perception)

Employment Type: Full Time

Location: Santa Monica, CA (On-site)

Salary: 90K-100K Annually

PTO: Flexible

About the Role

Hidonix Industries is seeking a Robotics Software Engineer (Systems & Perception)

working in the R&D Hardware Team, to lead the integration of high-level perception and

low-level control systems for our next-generation autonomous platforms. We are looking for

a technical integrator; someone who understands real-time hardware constraints as well as

the complexities of computer vision and remote telemetry.

In this role, you will own the architectural integrity of our autonomous stair-climbing rover,

wearable technology suite and more. You will be responsible for ensuring that our robots

don't just "move," but perceive, communicate, and operate with industrial-grade reliability.

Key Responsibilities

• System Architecture & ROS2 Migration: Lead the architectural transition from legacy prototypes to a production-ready ROS2 framework, ensuring modularity and scalability.
• Perception Stack Development: Design and optimize sensor-fusion pipelines (LiDAR, Stereo Vision, Ultrasonics, IMUs) for real-time spatial awareness and object
• Low-Latency Telemetry: Engineer robust networking solutions for high-bandwidth data transmission (H.264/H.265) between NVIDIA Jetson edge nodes and remote servers over Wi-Fi/LTE.
• Embedded Control & MCU Implementation: Develop and maintain deterministic firmware for a variety of MCUs (RP2040, ESP32, nRF52) to facilitate high-precision motor control and sensor acquisition via CANBus, I2C, and SPI.
• Deployment & Lifecycle Management: Manage the software environment on Linux-based edge compute modules, ensuring stable deployments and efficient

Required Qualifications

• Language Proficiency: Expert-level command of C, C++, and Python, with the ability to switch between low-level driver development and high-level scripting.
• Middleware & Protocols: Professional experience with ROS/ROS2 and hardware communication protocols (CAN, UART, SPI, I2C).
• Computer Vision (CV): Hands-on experience with OpenCV, or similar frameworks.
• Network Engineering: Solid understanding of networking fundamentals, including RTP/UDP/TCP optimization and video compression standards (H.265/H.264) for remote operation.
• Hardware Experience: Experience with MCUs (FreeRTOS or bare-metal) and an understanding of how to interface them with high-level compute modules like NVIDIA Jetson.

Nice to Have

• Proven abilities: A portfolio of "it just works" projects, showing you can take a prototype and make it a reliable, field-ready system.
• Hardware Literacy: A functional understanding of Electrical Engineering concepts (schematic reading, logic analysis) to assist in hardware/software debugging.
• Platform Knowledge: Previous exposure to custom Linux environments or containerized deployments (Docker/Balena).
• Learning Models: Understanding on how to use Reinforcement Learning techniques for robot locomotion.

Other Requirements

• Must be commuting distance of Santa Monica, CA
• Must be a US Citizen or valid green card holder
• Must be comfortable with working on-site