Lead Control Software Engineer

Avride; Austin (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Avride in Austin, TX is seeking a Lead Control Software Engineer to architect and implement MPC-driven control systems for vehicles, combining hands-on coding with technical leadership. You will guide a small team of control engineers, tackle real-time performance challenges, and collaborate across dynamics, optimization, and software design to deliver robust, scalable solutions.

The role emphasizes mentorship, clear communication, and delivering reliable results under tight timelines, with a

Qualifications

• Over 6 years of professional software engineering experience.
• Expertise in MPC, optimization, and vehicle dynamics is essential.

Responsibilities

• Architect and implement advanced control systems.
• Provide technical leadership to a small team of control engineers.
• Hands-on software development with cross-functional collaboration.

Skills

C++

Model Predictive Control

Optimization

System Dynamics

Data Analysis

Algorithms

Software Design Patterns

Trajectory Tracking

Real-Time Systems

Mentoring

Technical Direction

Collaboration

Communication

Signal Processing

Mathematics

Statistics

Job description

The Lead Control Software Engineer will architect and implement advanced control systems, focusing on Model Predictive Control and vehicle dynamics. This role involves both hands-on engineering and providing technical leadership to a small team of control engineers.

Requirements: Candidates should have over 6 years of professional software engineering experience, particularly in modern C++. Expertise in optimization, MPC, and system dynamics is essential, along with strong communication and collaboration skills.

Key Skills: C++, Model Predictive Control, Optimization, System Dynamics, Data Analysis, Algorithms, Software Design Patterns, Trajectory-Tracking Solutions, Real-Time Performance, Mentoring, Technical Direction, Collaboration, Communication, Signal Processing, Mathematics, Statistical Methods