Jobs at 42dot

Design, implement, and optimize safety-critical embedded firmware for automotive software-defined vehicles. Develop BSPs, drivers, communication stacks, RTOS applications, and real-time logic in C/C++. Lead hardware bring-up, performance characterization, low-level debugging, static analysis, and functional-safety compliance. Collaborate with hardware, systems, and validation teams while using scripting and modern build tools for automation, testing, and deployment.

Leads architecture and development of safety-critical embedded firmware for automotive software-defined vehicles. Responsibilities include BSPs, hardware abstraction layers, peripheral drivers, communication stacks, RTOS architecture, concurrency, safety compliance, silicon bring-up, timing analysis, debugging, hardware-software interfaces, coding standards, and mentorship. Requires expert C/C++ skills, extensive RTOS and embedded hardware experience, static analysis governance, regulated safety development, and modern build and CI tooling.

Build and operate AWS cloud infrastructure supporting autonomous-driving data and machine-learning workloads. Responsibilities include managing Kubernetes, multi-region environments, CI/CD and GitOps pipelines, infrastructure as code, developer tooling, observability, incident response, reliability improvements, and security audits. The role partners with Data and ML Platform teams to establish scalable DataOps and MLOps infrastructure patterns.

Owns the full HR lifecycle for 42dot Silicon Valley, building California-compliant policies and programs, managing headcount planning, compensation, performance, employee relations, compliance, HR operations, and benefits vendors. Partners with Finance, Recruiting, technical leaders, and Korea headquarters to align global standards with U.S. practices. Leads HR data and Workday operations, develops the HR team, and supports organizational growth.

Manage full-cycle recruiting for corporate and business roles, including sourcing, screening, interviews, offers, candidate communication, hiring-manager partnership, recruiting operations, employer branding, onboarding coordination, and inclusive hiring. Maintain applicant tracking system data, monitor recruiting metrics, build talent pipelines, and provide market feedback. The role requires 2–5 years of recruiting experience and may support technical hiring.

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.

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.

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.

Lead development of next-generation digital cockpit by creating high-fidelity 3D environments for in-vehicle infotainment. Responsibilities include 3D engine mastery, architecture design, performance optimization, and tooling pipeline development.