Autonomous Driving Controls Engineer — Real-Time Motion

Wayve; Sunnyvale (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Relocation support

Hybrid work

Learning budget

Health benefits

Job summary

Wayve is seeking an experienced robotics control engineer to translate AI Driver outputs into safe vehicle motion. You will develop and tune trajectory and motion controllers, integrating them into a latency-sensitive control stack that spans simulation, testing and on-road validation.

The role emphasizes C++ implementations, real-time performance, and cross-team collaboration to enable new platforms and features for autonomous driving technology.

Qualifications

• Strong fundamentals in control theory with depth in optimization or MPC.
• Experience developing, tuning and validating control or motion systems on real hardware.
• Proficient software engineering skills for production-quality, latency-sensitive code in C++.
• Experience with latency-sensitive or real-time software.
• Ability to reason about and debug system-level behaviour in complex robotic systems.
• Applied experience with model predictive control or trajectory optimization.
• Direct experience with mobile robotics or autonomous vehicle systems.

Responsibilities

• Develop, integrate, tune, and validate control and trajectory-generation algorithms for multiple vehicle platforms.
• Maintain and evolve the controls software architecture linking AI outputs to real-time actuation.
• Implement production-quality control software in C++ for prototype to production vehicles.
• Use simulation and on-road testing to characterize controller behaviour and validate improvements.
• Collaborate with Wayve teams to define interfaces and enable new platforms and features.

Skills

Control theory

MPC

Real-time systems

C++

Trajectory optimization

Mobile robotics

Tools

C++

Job description

Wayve is seeking an experienced robotics control engineer to translate AI Driver outputs into safe vehicle motion. You will develop and tune trajectory and motion controllers, integrating them into a latency-sensitive control stack that spans simulation, testing and on-road validation.

The role emphasizes C++ implementations, real-time performance, and cross-team collaboration to enable new platforms and features for autonomous driving technology.