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Sunnyvale, California, United States
Onsite
42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles.
We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system.
We're building a new autonomous driving organization to deliver production-ready L4 autonomy across trucks, buses, passenger vehicles, and robotaxis.
Our approach is ML-first, centered around end-to-end learning, foundation models, vision-language-action (VLA) models, and world models.
As one of the founding members of the autonomy organization, you'll help build the next generation of autonomous driving systems from the ground up. Rather than inheriting decisions made years ago, you'll help define and implement them.
This is a hands-on engineering role. You'll build models, write production code, analyze failures, and see your work run on real vehicles.
Most autonomy programs were started years ago. The major architectural decisions and engineering culture were established long before today's engineers joined.
We're at a different stage.
The engineers who join now will help define and build our autonomy platform, influencing architecture, technical direction, engineering culture, and future roadmap.
Responsibilities
Develop and train ML models for autonomous driving.
Contribute to end-to-end driving systems, VLA models, and world models.
Build scene understanding and driving intelligence capabilities.
Improve training pipelines, evaluation systems, and data workflows.
Analyze failures and improve model performance.
Collaborate with software, systems, and vehicle engineering teams.
Qualifications
Demonstrated grit, ownership, and problem-solving ability. We value engineers who take initiative, thrive in ambiguity, chase difficult problems, and consistently deliver results.
Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
1-4 years of experience building ML systems, or equivalent research experience.
Strong Python and PyTorch (or JAX) skills.
Strong fundamentals in machine learning, deep learning, computer vision, robotics, or related fields.
Preferred Qualifications
Autonomous driving or robotics experience.
Foundation models, VLMs, VLA models, end-to-end learning, or world models.
Distributed training, simulation, or large-scale data processing.
C++ experience.
Interview Process
Application Review - Coding Test - 1st interview - 2nd interview - Offer Negotiation - Hiring
The screening procedures may vary depending on the position, schedule, or other circumstances.
You will be individually notified of the screening schedule and results via the email address provided in your application.
Compensation
$145,000 - $205,000
Additional Information
In accordance with fair hiring practices, do not include any personal information unrelated to your job qualifications (e.g., Social Security Number, family relations, marital status, age, photo, physical condition, place of birth, etc.) in your resume.
All documents must be submitted in PDF format and under 30MB in size.
If you experience issues uploading your resume, please send it along with the job posting URL to recruit@42dot.ai.
We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws.
Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA).
42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement
42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.
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