Jobs at 42dot

Integrate and deploy machine learning models onto onboard automotive compute systems. Optimize inference for latency, throughput, memory, and power; build model deployment, conversion, validation, and rollout pipelines; diagnose runtime failures and resource contention; define model-to-system interfaces; and collaborate with autonomy ML teams to deliver reliable real-time vehicle execution.

Integrate and optimize machine-learning autonomy models for real-time execution on embedded automotive hardware. Build model deployment pipelines, improve inference latency, throughput, memory, and power usage, diagnose on-vehicle runtime failures, and define interfaces between ML models and onboard software. Collaborate with ML autonomy teams to translate deployment constraints into reliable vehicle-ready systems.

Lead development and production deployment of end-to-end driving, VLA, and world-model systems for L4 autonomous vehicles. Define scalable autonomy architectures, adapt foundation models, improve training and evaluation efficiency, and drive technical initiatives from concept to deployment. The role also includes mentoring engineers, shaping technical direction, and contributing to the founding autonomy team.

Build and own a multi-stage secure boot chain and Uptane OTA update client for an ASIL-D automotive firmware platform. Responsibilities include bootloader development, A/B updates, cryptographic verification, hardware-enforced isolation, diagnostics, embedded C development, security hardening, hardware bring-up, certification evidence, and integration with safety systems and CI. The role also provides technical leadership, code review, and ownership of production firmware deployment mechanisms.

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.

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.

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.

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.

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.

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.

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.