Jobs at 42dot

Create user-centered product experiences for software-defined vehicles, including interaction designs, UI elements, 2D and 3D assets, models, information architecture, user flows, and prototypes. Analyze user behavior, improve design systems and workflows, collaborate with developers and quality engineers, and ensure high-quality design outputs across digital, mobile, web, and potentially AR/VR platforms.

Serve as primary finance business partner and HQ liaison for 42dot's US branch. Own budgeting, FP&A, project approval, and budget vs. actual tracking. Coordinate accounting, taxation, treasury, audits, and SOX/internal control compliance with external advisors and Korea HQ. Administer corporate cards and T&E programs, manage reimbursements, provide T&E policy training, and streamline expense workflows.

Translates global automotive regulations and market requirements into product specifications, UX standards, and regional feature matrices. Reviews Figma designs for multilingual support, layout expansion, and regional compliance. Collaborates with designers, engineers, vehicle development, homologation, and release teams to maintain global product standards throughout development. Improves globalization and localization processes and tools for Hyundai Motor Group’s Connect platform across international markets.

Research and prototype next-generation Vision-Language-Action architectures for autonomous driving. Develop multimodal foundation models, world models, predictive simulations, long-horizon planning systems, and agentic driving architectures integrating reasoning, memory, planning, and action. Train and fine-tune large-scale models, implement current AI research, build data pipelines, and contribute research prototypes to production systems in collaboration with distributed global teams.

Integrate, validate, troubleshoot, and maintain development vehicles for autonomous driving, ADAS, software-defined vehicle, AI, and data-collection programs. Install sensors, compute, logging, networking, and instrumentation systems; support prototype builds, system bring-up, testing, calibration, field deployments, documentation, and root-cause analysis. Coordinate vehicle modifications, maintain operational readiness, track fleet status and equipment, and support deployments, charging, logistics, and transportation activities.

Lead 42dot’s global export compliance program, focusing on U.S. EAR and South Korean NCT regulations. Manage technology classification, ECCNs, export licensing, regulatory filings, Technology Control Plans, audits, protected zones, personnel access controls, and confidentiality agreements. Advise on cross-border transactions, mergers, joint ventures, and overseas manufacturing while mitigating technology-transfer risks. The role requires strong compliance and legal expertise, technical literacy, risk-assessment skills, and preferably Korean-English fluency and direct MOTIE experience.

Develop, optimize, and maintain Linux-based in-vehicle applications for infotainment and autonomous systems. Integrate with hardware/firmware, debug kernel and user-space issues, improve performance and boot times, contribute to system architecture, and collaborate with QA for test strategies and high code quality.

Lead design strategy for in-vehicle (IVI) and connected mobile products. Drive end-to-end UX from information architecture and user flows to prototyping and visual design. Collaborate with product, engineering, and research teams, improve design systems, represent design in roadmap and implementation decisions, and provide design leadership and mentorship.

Lead design and implementation of a scalable data lakehouse and ML training/evaluation platform for autonomous driving. Build data SDKs, optimize data pipelines and serving, maintain infrastructure (processing pipelines, databases, lakehouse), collaborate with ML and cloud teams, and drive technical strategy to improve model training, validation, and deployment efficiency.

Develop and scale driving foundation models (VLM/VLA) using multimodal sequential data (camera, video, map, trajectory, action, language). Design, train, and evaluate models for scene understanding, temporal reasoning, agent interaction, risk/event understanding, and VLM-based applications (captioning, VQA, auto-labeling). Collaborate with simulation, data, and ML platform teams to integrate models into autonomous driving systems and build large-scale datasets, benchmarks, and training recipes.

Manage and operate large-scale, multi-datacenter GPU clusters using Kubernetes and Slurm. Monitor and diagnose hardware and software failures, develop automation scripts in Python or Shell, manage GPU quotas, support ML researchers, and participate in designing and tuning distributed training environments for large-scale autonomous driving models.

Research and develop 3D computer vision and machine learning algorithms for autonomous driving, including 3D shape modeling, pose estimation, tracking, self-supervised representation learning, physics-based vision, SLAM, and world-model simulation. Implement efficient, scalable vision systems and multi-sensor fusion for deployment in large-scale environments.

Design, develop, optimize, and deploy middleware and core software (real-time communication, execution frameworks) for autonomous driving on Linux/RTOS. Ensure automotive safety (ISO 26262) compliance, build debugging/testing tools, participate across the full SDLC, conduct design/code reviews, and collaborate with application and global cross-functional teams.

Research and develop 3D computer vision and machine learning algorithms for autonomous driving, including 3D shape modeling, pose estimation, tracking, self-supervised representation learning, world models and closed-loop simulation, sensor fusion, and scalable vision system design and optimization.

Optimize and validate deep learning models for GPU/NPU deployment in vehicles. Perform system profiling and low-level CPU/GPU/NPU performance analysis, develop automated performance analysis tools and metrics, and support runtime optimization and deployment of AI models in autonomous driving environments while collaborating with AI and software teams.

The OS Tools Software Engineer will design and implement tools for Vehicle OS, focusing on messaging systems and developer environments, contributing to autonomous driving technology.

Design, build, and maintain automated test frameworks and pipelines for embedded automotive ECUs and virtual ECUs across SIL/MIL/HIL. Build custom HIL benches, execute and analyze automated tests, verify automotive network protocols, integrate tests into Git-driven CI/CD, and maintain ASPICE-compliant requirement traceability.

Design and oversee the development of robust data platforms for training and evaluating ML models, focusing on autonomous driving. Collaborate with multiple teams and optimize data processing pipelines.

Develop scalable data pipelines for autonomous driving, enhancing data extraction and labeling processes, and collaborating with cross-functional teams on ML models.

Design, develop, and maintain applications for In-Vehicle Infotainment systems. Collaborate with cross-functional teams and provide technical support to others.