Controls Engineer (Autonomous Vehicles)

Location: Sunnyvale, California, United States; full-time hybrid role combining office and workshop attendance with work from home.

Salary: $209,700–$266,800 per year, plus a competitive equity package.

Company

hirify.global develops embodied AI software and foundation models for mapless, hardware-agnostic automated driving systems.

What you will do

• Develop, integrate, tune, and validate control, trajectory-generation, and action-processing algorithms across vehicle platforms and driving conditions.
• Maintain the controls software architecture connecting AI Driver outputs with real-time vehicle actuation and feedback.
• Implement production-quality, latency-sensitive control software in C++ for prototype, reference, and production vehicles.
• Use simulation, closed-loop evaluation, and on-road testing to diagnose controller performance and validate improvements.
• Collaborate across engineering teams to define controller interfaces, integrate adjacent systems, and enable new vehicle platforms and product features.

Requirements

• Strong fundamentals in control theory, with depth in optimization, model-predictive control, numerical methods, or dynamical systems.
• Practical experience developing, tuning, and validating control or motion systems on real-world physical systems.
• Strong software engineering skills and experience building reliable production-quality systems in C++.
• Experience with latency-sensitive or real-time software.
• Ability to reason about and debug system-level behavior across complex robotic software and hardware.
• Ability to work in a hybrid setup based in the Sunnyvale office.

Nice to have

• Applied experience with model-predictive control, trajectory optimization, or motion planning.
• Experience with mobile robotics, autonomous vehicles, automotive systems, ADAS, or vehicle controls.
• Experience with safety-critical systems, validation, and standards such as ISO 26262.
• Applied machine learning experience or experience integrating systems with ML components.

Culture & Benefits

• Hybrid work combining time in offices and workshops with time working from home.
• Competitive equity package.
• Inclusive interview experience with accommodations available on request.
• Inclusive and respectful working environment that values diverse perspectives.

Hiring process

• Interview participation may include accommodations or adjustments upon request.