Control System Engineer (Autonomous Driving)
Mountain View, California, United States
ENGINEERING – Autonomous Driving /
Full-time /
Hybrid
We are looking for the best
As a Control Engineer of 42dot, you will develop primitive control systems to tackle the most challenging problems in autonomous driving. You will contribute towards developing robust systems by collaborating with experts in motion planning, functional safety, HW engineering, and other related disciplines.
Responsibilities
- Design, implement, and optimize the longitudinal and lateral control for autonomous driving.
- Design and implement lower-level controls, translating high-level commands into specific actuator controls for real-time execution of autonomous operations.
- Develop estimation algorithms for key vehicle parameters such as road slope, vehicle speed, and slip, in order to enhance the precision and reliability of the control system.
- Work closely with other engineers and teams, such as those focused on motion planning, behavior planning, and mission planning, to ensure seamless.
Qualifications
- Bachelor’s/Master's degree in Robotics, Electrical Engineering, Mechanical Engineering, Computer Science, or related field
- +3 years of related experience
- Strong understanding and practical experience with robust control, vehicle dynamics, and systems engineering
- Experience with disturbance observation, system identification, and state estimation techniques such as Kalman filter and Particle filter
- Proven experience in lower-level control systems, specifically for actuator control
- Proficiency in software development, with strong coding skills in languages like C++, Python, or equivalent
Preferred Qualifications
- Experience in ROS/ROS2
- Experience with Model Predictive Control (MPC) and Nonlinear Control Systems
- Experience with industry standards and safety-critical systems in automotive or aerospace domains
- Experience in leveraging adaptive, self-calibrating control algorithms to maintain and improve system performance under varying operating conditions, such as misaligned wheel alignment
- Experience with source control management, build processes, code reviews, and testing methods
- Published research work in relevant fields demonstrating technical proficiency
Recruiting Process
- Application Screening - Coding Test - First Interview - Second Interview - Offer Negotiation - Final Acceptance
- The recruitment process may differ based on the specific role and may be subject to changes depending on schedules and circumstances.
- Applicants will be notified of the application schedule and results individually via the email address provided in their application.
Please refer to the videos from KCCV 2022 and UMOS Day 2021 for insights into 42dot Autonomous Driving, our autonomous driving AI software.
Please upload all submission files in PDF format.
※ Please review the following information before applying.
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