Software Engineer - C++ - Model Predictive Control

Software Engineer - C++ - Model Predictive Control

C++ Software Engineer – Model Predictive Control

$/yr - $/yr

• We are an established leader in autonomous vehicle and delivery robot systems, developing high-performance mobility platforms built on over seven years of experience in autonomous technology.
• Our Control Team is responsible for the vehicle’s motion precision and stability.
• We design reliable control architectures that execute smooth, accurate trajectories under diverse real-world conditions, achieving centimeter-level precision.

• We are looking for a C++ Software Engineer specializing in Model Predictive Control (MPC) to advance the vehicle’s core control stack.
• This role requires a strong foundation in applied control theory, software design, and real-time system performance optimization.
• You will work on translating control models into production-quality software deployed on robotic platforms.

• Design, implement, and optimize state of the art control systems and algorithms in modern C++ (C++17/20).
• Develop and tune MPC-based trajectory tracking solutions for autonomous vehicles.
• Analyze real-world operational data to model vehicle dynamics and refine control system performance.
• Collaborate cross-functionally with the Planning and Hardware teams to ensure control continuity and stability.
• Profile timing and computational performance to meet strict real-time constraints.
• Maintain high standards for readability, modularity, and system reliability in production code.

• 3+ years of professional software development experience.
• Strong proficiency in C++17/20 and deep understanding of algorithms, data structures, and software design patterns.
• Experience with data analysis and basic statistical methods.
• Ability to design, profile, and optimize software for real-time systems.
• Effective communication and teamwork skills with a focus on delivering robust technical solutions.

• Direct-Hands-On experience with robotics, control systems, optimization, MPC, and system dynamics.
• Knowledge of system identification, vehicle dynamics, and state estimation.
• Background in digital signal processing for sensor or feedback signal analysis.
• Advanced math foundation (optimization, probability, or mechanics).
• Contributions to open-source projects, research work, or technical competitions.
• Interest in advancing state-of-the-art control and autonomy performance.

Mid-Senior level

Full-time

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