Simulation Engineer (Autonomous Driving)

Reposted 6 Days Ago
Be an Early Applicant
Hiring Remotely in Pangyo-ri, Gangweon Do, KOR
Remote or Hybrid
Mid level
Artificial Intelligence • Software • Transportation
The answer to mobility and everything
The Role
As a Simulation Engineer, you will develop simulation environments for autonomous driving systems and validate their performance through experiments with cross-functional teams.
Summary Generated by Built In
We are looking for the best

We are seeking a highly skilled Simulation Engineer to join our Autonomous Driving organization. As a Simulation Engineer, you will play a key role in developing and maintaining advanced simulation environments to validate and verify the performance of our autonomous driving systems. You will work closely with cross-functional teams to ensure the robustness, scalability, and accuracy of our simulation tools.

Responsibilities

  • Develop and maintain high-fidelity simulation environments for testing autonomous driving algorithms and software

  • Implement realistic vehicle models, sensor models, and environmental models within the simulation framework

  • Design and execute simulation experiments to validate and verify the performance of perception, planning, and control algorithms

  • Collaborate with software engineers, robotics engineers, and data scientists to integrate simulation tools into the development pipeline

  • Analyze simulation results and provide actionable insights to improve the performance and reliability of autonomous driving systems

  • Stay up-to-date with the latest advancements in simulation technology and incorporate them into our development processes

Qualifications

  • Having excellent programming skills (C/C++/Python, etc.)

  • Project experience aligned to simulation, autonomous vehicles, or robotics

  • Proficient in working with cloud technologies (AWS, GCP, Azure, etc.)

  • Skilled in working with middleware development and integration (e.g., ROS/ROS2)

  • Comfortable with Linux, Git, and SQL

  • Possess communication skills for collaboration with other teams

Preferred Qualifications

  • M.S or Ph.D. degree in a relevant engineering program

  • Proficient in using simulation software, such as Carla, CarSim, Simulink, or similar tools

  • Understanding of self-driving stack and cloud technologies

Interview Process

  • Resume Screening - Coding Test - Virtual Interview (approximately 1 hour) - Onsite or Virtual Interview (approximately 3 hours) - Final Offer

  • Please note that the interview process may vary depending on the position and is subject to change based on scheduling and other circumstances.

  • Interview schedules and results will be communicated individually via the email address provided in your application.

Additional Information

  • Please upload all required documents in PDF format.

  • Veterans and applicants eligible for employment protection will receive preferential consideration in accordance with applicable laws and regulations.

  • In compliance with the Act on Employment Promotion and Vocational Rehabilitation for Persons with Disabilities, registered individuals with disabilities will receive preferential consideration.

  • 42dot does not accept unsolicited resumes from search firms. We will not pay any fees for resumes submitted without prior agreement.

  • A 3-month probationary period may apply.

※ Please make sure to review the information below before applying.

  • Learn more about how we work at 42dot, 42dot Way →

  • Explore 42dot’s unique Employee Engagement Program, Employee Engagement Program →

Skills Required

  • Excellent programming skills in C/C++/Python
  • Project experience in simulation, autonomous vehicles, or robotics
  • Proficient in cloud technologies like AWS, GCP, Azure
  • Experience with middleware development (e.g., ROS/ROS2)
  • Comfortable with Linux, Git, and SQL
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The Company
HQ: Seongnam-si
739 Employees
Year Founded: 2019

What We Do

We envision a world where everything is connected and moves autonomously through a self-managing urban transportation operating system. We are spearheading the transition to SDV (software-defined vehicle) with software and AI. We are developing diverse SDV technologies that continuously provide vehicle updates and services based on data for user-centric and safe mobility. If you want to create a new future of mobility through software, AI, and automotive vehicles, check out our job openings. Come ride with us!

Why Work With Us

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