Lead development of Avride's control system by architecting and shipping Model Predictive Control (MPC) solutions in modern C++, identifying vehicle dynamics parameters from real-world data, profiling for real-time performance, and providing technical leadership, code review, and mentorship to a small controls team while aligning with Planning and Hardware.
About the role
We are seeking a Lead Software Engineer to drive the technical evolution of Avride's core Control System. This role is roughly 80% hands-on engineering and 20% technical leadership — you'll spend most of your time architecting and shipping Model Predictive Control (MPC) systems and vehicle dynamics models yourself, while also setting technical direction and unblocking a small team of 2–3 control engineers.
What you'll doHands-on (~80%)
- Architect, implement, and optimize cutting-edge control systems in modern C++ (C++17/20).
- Own the design of high-precision trajectory-tracking solutions, from formulation through production deployment.
- Identify and refine dynamic vehicle parameters using real-world data.
- Profile and optimize algorithms to meet real-time performance constraints.
- Write clean, maintainable, production-quality code and set the technical bar for the codebase.
- Analyze and iterate on system performance using real-world vehicle data.
Leadership (20%)
- Provide technical direction and code/design review for a small team of 2–3 control engineers.
- Break down complex control problems into scoped workstreams and help the team sequence and prioritize them.
- Mentor engineers on MPC, optimization, and controls best practices.
- Act as the primary technical point of contact between Controls and the Planning and Hardware teams, ensuring architectural decisions stay cohesive across systems.
- Drive projects to completion, balancing team velocity with technical rigor.
- 6+ years of professional software engineering experience, with a track record of owning significant technical systems end-to-end.
- Expertise in modern C++.
- Deep understanding of algorithms, data structures, and software design patterns.
- Direct experience with optimization, MPC, and system dynamics.
- Hands-on experience with data analysis and statistical methods applied to real-world sensor/vehicle data.
- Demonstrated ability to guide the technical direction of a small team while remaining a strong individual contributor.
- Exceptional communication and collaboration skills, with a focus on delivering results and driving cross-team alignment.
- Prior experience formally or informally leading a small engineering team or workstream.
- Digital signal processing techniques for analyzing real-world sensor data.
- Advanced knowledge of mathematics, including optimization, probability, and mechanics, and a proven ability to translate complex theory into production-ready algorithms.
- Relevant publications, patents, or achievements in hackathons/programming contests.
- A passion for staying at the forefront of the field, actively seeking and implementing state-of-the-art ideas to push performance beyond the current horizon.
#LI-MS1
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email [email protected].
Avride Austin, Texas, USA Office
8605 Cross Park Dr, Austin, TX , United States, 78754
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