Onboard Infrastructure Engineer

Posted 4 Days Ago
Be an Early Applicant
Houston, TX, USA
In-Office
Senior level
Logistics • Transportation
Transforming American Transportation
The Role
Develop and maintain onboard infrastructure for autonomous driving systems, including sensor drivers, health management, middleware, diagnostics, logging, recovery, and real-time data handling. Optimize autonomous driving software for embedded systems and onboard computing platforms, focusing on low latency, deterministic performance, computational efficiency, reliability, and system integration.
Summary Generated by Built In
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)

Skills Required

  • Bachelor's degree in Computer Science or a related field with 5+ years of experience, or a Master's degree with 2+ years of experience
  • Ability and willingness to develop computationally efficient code with consistently low runtime variance
  • Proficiency in C/C++ programming
  • Ability to write robust, reliable code
  • Experience in sensor software development
  • Experience with ROS or similar robotics and autonomous systems middleware
  • 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 real-time operating systems
  • Experience with Nvidia Drive products, including Orin or Thor
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Houston, TX
76 Employees
Year Founded: 2023

What We Do

We are an L4 autonomous trucking company, based in Houston, Texas. We operate our autonomous truck fleet and offer Transportation as a Service (TaaS) to our freight customers. Our team combines visionary leadership, top-tier science and engineering talents, financial and governance experts, and industry veterans to build an AI-driven autonomous trucking company. We focus on fleet operations, transforming autonomous trucking into a commercially profitable product. This blend of experience, industry maturity, and innovative technology positions us to commercialize autonomous trucking at scale.

Similar Jobs

Takeda Logo Takeda

Spanish Speak Nurse - LVN

Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
Hybrid
Houston, TX, USA
50000 Employees
24-33 Hourly

CrowdStrike Logo CrowdStrike

Principal Product Manager

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Hybrid
5 Locations
11000 Employees
160K-250K Annually

CrowdStrike Logo CrowdStrike

Engineer III, AI SDLC Engineer (Remote)

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
USA
11000 Employees
120K-180K Annually

CrowdStrike Logo CrowdStrike

Director, Engineering - Cloud Detection Platform (Remote)

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
USA
11000 Employees
195K-290K Annually

Similar Companies Hiring

Toro TMS Thumbnail
Cloud • Enterprise Web • Sales • Software • Transportation
Chicago, IL
80 Employees
Axle Health Thumbnail
Artificial Intelligence • Healthtech • Information Technology • Logistics
Santa Monica, CA
25 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
43 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account