Software Engineer - Vehicle Data Infrastructure (C++)

Avance Consulting - Houston, TX

Full-time

Houston, TX

About the position

We are seeking an experienced C++ Software Engineer to contribute to the advancement of autonomous driving technology. This role involves collaboration across multiple teams to develop core libraries and optimize system performance, providing a unique opportunity for seasoned developers to impact the future of transportation as a service.

Responsibilities

• Design and implement onboard data storage, logger, and event infrastructure for real-time autonomous driving applications.
• Develop performance-critical frameworks, reusable libraries, and components using modern C++ for the autonomy stack.
• Create a real-time, resilient data offloading system to transfer data from onboard systems to hybrid cloud infrastructure.
• Convert sensor and component messages into multiple formats for AI infrastructure, simulation, diagnostics, and scenario extraction.
• Build a flexible data-serving SDK (C++) and API service for cross-functional access to autonomous driving data.
• Ensure the integrity and quality of autonomous driving metadata from system-level operations to real-world execution.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field.
• Highly skilled in C++ and good knowledge of Python.
• Experienced in multi-thread programming.
• Experienced in developing and deploying embedded software.
• Experienced in working in a Linux environment.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced, dynamic environment.
• Ability to adapt quickly to emerging technologies.
• Familiarity with full-stack development, e.g., React, Flask.
• Familiarity with data engineering & data science including data modeling, data warehouse, pipeline, reporting tools, and analytics.
• Familiarity with building core data store and data lake infrastructure.

Nice-to-haves

• Experienced in performance optimization.
• Experienced in storage system knowledge.
• Experienced in autonomous driving technologies or similar high-performance computing systems.