We are looking for the best

About Us

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.

About the Role

We are building next-generation vehicle intelligence at 42dot enabling vehicles to understand user intent trip context vehicle state environmental conditions and system constraints then coordinate vehicle behavior to deliver personalized proactive transparent and trustworthy experiences.

As an ML / AI Engineer you will design and develop AI-driven vehicle intelligence features that help users drive farther feel more confident reduce cognitive load and experience vehicles that adapt to their needs. You will work across vehicle telemetry user behavior navigation energy usage thermal systems cabin comfort charging simulation and fleet data to build intelligent systems that can predict recommend plan and optimize vehicle behavior.

This role is focused on applying modern AI and machine learning technologies including reinforcement learning multimodal AI foundation models large language models personalization time-series forecasting planning simulation-based learning and on-device inference. Reinforcement learning will be an important intelligence algorithm for developing adaptive vehicle behaviors optimizing system-level decisions and improving vehicle experiences through simulation fleet feedback and real-world operating data.

You will also collaborate closely with autonomous driving and VLA engineers to connect integrate and combine vehicle intelligence with driving intelligence. This role is not focused on developing core VLA models but it will help define how user intent trip goals vehicle constraints energy targets comfort preferences and system-level recommendations are shared with VLA and autonomous driving systems.

Responsibilities

• Develop AI-powered vehicle intelligence features that understand user intent trip goals vehicle state and system constraints.

• Apply reinforcement learning planning optimization and data-driven modeling to improve vehicle-level decisions across energy comfort charging routing and proactive vehicle preparation.

• Build models using vehicle telemetry navigation data user behavior weather traffic cabin conditions charging patterns and fleet data.

• Create personalization models that learn user routines comfort preferences driving patterns charging habits and trip priorities while preserving privacy and user control.

• Use simulation digital twins and scenario-based testing to train evaluate and validate AI behavior before production deployment.

• Collaborate with autonomous driving and VLA teams to define interfaces for sharing user intent route objectives vehicle constraints energy targets comfort preferences and system-level recommendations.

• Integrate ML models into production vehicle and cloud platforms considering latency compute efficiency reliability safety explainability and over-the-air update readiness.
  Work cross-functionally with Product UX Systems Engineering and Controls.

Qualifications

• Bachelors Masters or Ph.D. in Computer Science Artificial Intelligence Machine Learning Robotics Electrical Engineering or a related technical field.

• 3 years of experience developing and deploying machine learning or AI solutions in production environments.

• Strong experience with machine learning frameworks and programming languages such as Python PyTorch TensorFlow JAX or similar tools.

• Experience building predictive optimization recommendation forecasting or personalization models using large-scale real-world datasets.

• Solid understanding of reinforcement learning time-series modeling statistical learning and data-driven decision-making systems.

Preferred Qualifications

• Experience applying reinforcement learning planning simulation-based learning or optimization techniques to complex real-world systems.

• Familiarity with vehicle systems connected vehicles mobility platforms automotive software energy management charging systems or intelligent transportation technologies.

• Experience working with multimodal AI foundation models large language models (LLMs) agent-based systems or personalized AI experiences.

• Knowledge of deploying ML models to edge or embedded platforms including considerations for latency compute efficiency safety reliability and on-device inference.

• Experience collaborating with cross-functional teams including product UX controls systems engineering autonomous driving or robotics organizations to bring AI-powered features into production.

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

• $189000 -$261000/year

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 .

• 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.

Please review the following information before applying.

• How to work in 42dot About 42dot Way

Required Experience:

IC