C++ Software Engineer - Control

Avride • Austin, TX

89d

About The Position

Avride is a fast-growing leader in the autonomous vehicle and delivery robot industry. We are building the future of mobility from the ground up, backed by a core team with over seven years of pioneering experience in autonomous technology. Our Control team is the driving force behind our vehicle's precision. We design robust systems that navigate trajectories with centimeter-level accuracy—smoother and more reliably than a human driver—across a vast range of real-world conditions. We are seeking a highly skilled software engineer to advance Avride's core Control System. In this role, you will architect sophisticated control systems using Model Predictive Control (MPC) and identify the dynamic parameters of our vehicles.

Requirements

• 3+ years of professional software engineering experience.
• Expertise in modern C++.
• Deep understanding of algorithms, data structures, and software design patterns.
• Hands on experience on data analysis and basic statistical methods.
• Exceptional communication and collaboration skills, with a focus on delivering results and driving projects to completion.

Nice To Haves

• Direct experience in robotics, with a strong grasp of Optimization, MPC, and system dynamics.
• Digital signal processing techniques to analyse real-word sensor data.
• Advanced knowledge of mathematics (optimization, probability, mechanics) and a proven ability to translate complex theories into production-ready algorithms.
• Relevant publications or achievements in hackathons and programming contests.
• A passion for staying at the forefront of the field, actively seeking and implementing state-of-the-art ideas to push our performance beyond the current horizon.

Responsibilities

• Design, implement, and optimize cutting-edge control systems in modern C++ (C++17/20).
• Develop and refine robust, high-precision solutions for trajectory tracking.
• Analyze and iterate on system performance using real-world vehicle data.
• Collaborate closely with engineers from our Planning and Hardware teams to build a cohesive and reliable self-driving system.
• Write clean, maintainable, and optimized production-quality code.
• Profile and optimize algorithms to meet real-time performance constraints.

What This Job Offers

• Job Type: Full-time
• Number of Employees: 251-500 employees