42dot is a technology company pioneering frictionless transportation services. 42dot develops technologies and platforms integrating autonomous driving, connected vehicles, and smart city infrastructure. Backed by Space Capital.
About the role
You will be individually notified of the screening schedule and results via the email address provided in your application. 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.
What they're looking for
- MS or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field (or equivalent practical experience)
- Strong hands-on experience with deep learning frameworks (e.g., PyTorch, JAX)
- Solid understanding of foundation models, multimodal learning, or transformer-based architectures
- Experience training or fine-tuning large-scale models (vision, language, or multimodal)
- Strong software engineering skills and experience working with large-scale data pipelines
- Ability to read, implement, and extend ideas from recent AI research papers
More about this role
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.
As a Staff VLA Engineer you'll contribute to next-generation autonomous driving intelligence research, working alongside the team to push past current VLA capabilities. You'll bring hands-on expertise in foundation models, multimodal learning, world models, or autonomous systems, and help turn research ideas into real technical progress.
Research and prototype next-generation Vision-Language-Action architectures.
Explore scalable multimodal foundation models for autonomous driving.
Help develop architectures with improved generalization, reasoning, and long-horizon decision making.
Support work on large...
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