Onboard Infrastructure Engineer

Bot Auto; Houston (TX); Presencial; USD 120.000 - 190.000; Jornada completa

Descripción de la vacante

Bot Auto is seeking an Onboard Infrastructure Engineer to join our Autonomous Driving team. You will develop and maintain onboard infrastructure for real-time data handling, sensor integration, and deterministic software execution on embedded platforms.

You will optimize middleware and ROS-based components, reduce latency, and collaborate across hardware and software engineers to advance our autonomous trucking technology.

Formación

• Bachelor's or Master’s degree in CS or related field.
• Strong willingness to write efficient, low-runtime-variance code.
• Proficiency in C/C++ programming and ROS middleware.

Responsabilidades

• Design and maintain onboard infrastructure for real-time autonomous driving.
• Optimize middleware/ROS core functionalities for low latency.
• Collaborate with hardware and software teams on architecture.

Conocimientos

C/C++ programming

Embedded systems

Real-time systems

Educación

Bachelor’s or Master’s in Computer Science

Herramientas

ROS

RTOS

NVIDIA Drive

Descripción del empleo

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

About The Role

We are looking for an Onboard Infrastructure Engineer to join our Autonomous Driving team. In this role, you will be responsible for developing and maintaining the onboard infrastructure that supports autonomous vehicle systems, ensuring reliable communication, data management, and system integration. You would work on critical infrastructure projects for autonomous driving systems, such as implementing middleware/ROS core functionalities, conducting optimizations to reduce latency and improving system determinism. You will play a critical role in designing and optimizing the architecture that handles real-time data from sensors and computing hardware. This is a unique opportunity to work at the intersection of hardware, software, and real-world autonomous driving technology.

Key Responsibilities

• Design and implement onboard infrastructure modules (sensor driver, health management) to support real-time autonomous driving applications, ensuring computing efficiency, and SW reliability in resource demanding environments.
• Monitor system performance and implement tools for diagnostics, logging, and recovery to ensure stable vehicle operations.
• Optimize the deployment of autonomous driving software to embedded systems and onboard computing platforms.

Required Qualifications

• Bachelor’s degree with 5+ years of experience, or a Master’s degree with 2+ years of experience, in Computer Science or a related field.
• A strong willingness to develop computationally efficient code with consistently low runtime variance
• Proficiency in C/C++ programming
• Write robust, reliable codes

Preferred Qualifications

• Experiences in Sensor SW development
• Experience with ROS (Robot Operating System), or similar middleware for robotics and autonomous systems.
• 3+ years of experience in onboard infrastructure, embedded systems, or systems engineering.
• Experience with autonomous driving technologies or similar high-performance computing systems
• Experience with RTOS (Real-time Operating System)
• Experience with Nvidia Drive Products (Orin/Thor)