Responsibilities

• Develop and maintain high-fidelity simulation environments for testing autonomous driving algorithms and software
• Design a system that executes large-scale simulation experiments to validate and verify the performance of perception, planning, and control algorithms
• Design a system that facilitates the development process and supports data-driven decision-making, particularly in the analysis of simulation results, providing actionable insights to improve the performance and reliability of autonomous driving systems.
• Manage and achieve goals through multidisciplinary engineering teams, including software engineers, robotics engineers, and data scientists, to successfully integrate simulation tools into the development pipeline.
• Stay up-to-date with the latest advancements in simulation technology and incorporate them into our development processes.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field.
• 10-15 years of experience in developing simulation environments for autonomous driving systems, or related experiences.
• Proven ability to solve complex problems within virtual simulations and provide in-depth analyses.
• Strong project management skills with experience in leading cross-functional teams.
• Excellent communication skills for collaborating with team members and stakeholders.
• Experience mentoring junior engineers and delegating tasks effectively.

Interview Process

• Application Review - Coding Test - 1st Interview - 2nd Interview - Offer
• The process may vary by position and is subject to change.
• Schedule and results will be communicated via the email provided in your 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.

ㆍHow to work in 42dot, About 42dot Way →

ㆍ42dot's Employee Engagement Program, About Employee Engagement Program →