Lead Software Engineer, Control
Lead Software Engineer architecting and implementing Model Predictive Control (MPC) systems and vehicle dynamics models for autonomous vehicles. 80% hands-on C++ development and optimization with 20% technical leadership and mentoring of a small controls team. Requires 6+ years experience, deep MPC/optimization expertise, and strong individual contribution.
About the job
What you'll do
Hands-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.
What you'll need
- 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.
Nice to have
- 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 (optimization, probability, 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.
Skills
C++, Model Predictive Control, Mpc, Optimization, System Dynamics, Data Analysis, Real-Time Systems, Algorithms, Data Structures
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