Autonomous Vehicle Controls Engineer for Driverless Trucks

Kodiak AI; Mountain View (CA); On-site; USD 145,000 - 190,000; Full time

Benefits offered by this job

Equity

Annual bonuses

Medical insurance

Dental insurance

Vision insurance

Flexible PTO

10 paid holidays

Parental leave

Dog-friendly office

Free catered lunch

Free EV charging

401(k)

Job summary

Kodiak Robotics, Inc. in Mountain View, CA is seeking a Software Engineer focused on vehicular motion control to join our Controls team. You will implement control and actuation strategies for driverless trucks and contribute to safety-critical software that manages braking, steering, and acceleration.

The role offers exposure to a modular controller design, data-driven feedback, and collaboration across planning, hardware, and systems teams to deliver robust vehicle control architectures.

Qualifications

• 2+ years of experience developing production-level vehicular controls software.
• Strong background in robotics, controls, and mathematics.
• Experience developing, testing, and tuning controllers for autonomous robots (trucks/cars).
• Focus on vehicle safety.

Responsibilities

• Implement control and actuation strategies for driverless trucks.
• Develop and test reliable safety-critical software controlling on-highway motion.
• Characterize vehicle platform including braking, steering, and acceleration.
• Develop models for onboard and simulated motion prediction.
• Specify requirements and document their implementation.
• Apply degraded operations capabilities for fail-safe driving.
• Collaborate with Planning, Hardware, Systems, and Infrastructure teams to advance architecture.

Skills

Vehicular controls

Robotics

Mathematics

Autonomous robots

Safety

Job description

Kodiak Robotics, Inc. in Mountain View, CA is seeking a Software Engineer focused on vehicular motion control to join our Controls team. You will implement control and actuation strategies for driverless trucks and contribute to safety-critical software that manages braking, steering, and acceleration.

The role offers exposure to a modular controller design, data-driven feedback, and collaboration across planning, hardware, and systems teams to deliver robust vehicle control architectures.