Onboard Infrastructure Engineer

Botauto; Houston (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Botauto seeks an Onboard Infrastructure Engineer to enhance the autonomous driving systems' onboard infrastructure. The role involves developing modules, monitoring performance, and optimizing software deployment on embedded systems.

The ideal candidate holds a Bachelor's degree with over 5 years of experience or a Master's degree with 2+ years, proficient in C/C++ programming, and adept in managing real-time operations. Join us and be at the forefront of autonomous technology in Houston!

Qualifications

• 5+ years experience with a Bachelor's or 2+ years with a Master's in a relevant field.
• Strong coding skills focusing on low runtime variance.
• Proficient in C/C++ programming.

Responsibilities

• Design and implement onboard infrastructure modules for real-time applications.
• Monitor system performance and implement diagnostic tools.
• Optimize deployment of autonomous software on embedded systems.

Skills

C/C++ programming

Computationally efficient code

Sensor software development

Real-time Operating System (RTOS)

Embedded systems

ROS (Robot Operating System)

Nvidia Drive Products (Orin/Thor)

Education

Bachelor’s or Master’s degree in Computer Science or a related field

Job description

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.

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.

Qualifications

Required:

• 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:

• 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)