Jobs at VinFast Auto Ltd.

Lead vehicle homologation and certification activities for export markets, particularly India. Research regulations, develop certification strategies, coordinate testing and sample vehicles, review compliance reports, manage homologation budgets, monitor regulatory changes, and maintain certificate validity. Collaborate with engineering, design, testing, PMO, contractors, and international agencies to ensure vehicles meet market requirements and project timelines.

Build and maintain Java and Spring Boot backend services; document current architecture; identify bottlenecks and dependencies; design scalable, secure, resilient, event-driven target architectures; create technical diagrams; recommend service refactoring; and collaborate with frontend, DevOps, and vehicle teams. The role also covers microservices, cloud infrastructure, messaging, identity management, databases, and enterprise integrations.

Leads smart-service and software projects for connected electric vehicles, managing roadmaps, release schedules, development maturity, software integration, quality metrics, testing, certification, risks, budgets, resources, and vendor relationships. Coordinates cross-functional hardware, software, UX, QA, manufacturing, and third-party teams across geographies. Ensures delivery readiness, regulatory alignment, project documentation, and continuous reporting throughout the product lifecycle.

Leads the design, development, testing, deployment, and maintenance of scalable iOS applications using Swift. Collaborates with product, design, backend, algorithm, and QA teams to deliver user-focused experiences. Provides technical leadership and mentorship while integrating complex services, reviewing AI-generated code, optimizing performance, and following secure, maintainable coding practices.

Acts as a bridge between business, technical teams, and external partners for smart EV features and services. Gathers requirements, creates BRDs, PRDs, user stories, journeys, use cases, and UAT documentation. Manages product backlogs, prioritizes features, supports implementation and acceptance testing, monitors KPIs, and proposes improvements. Coordinates compliance, data privacy, cybersecurity, regulatory requirements, stakeholder communication, and risk management.

Lead development, integration, debugging, validation, and delivery of chassis-control software for suspension, braking, steering, and vehicle-dynamics systems. Direct SIL and HIL validation, root-cause analysis, simulation-tool development, fail-operational improvements, and resolution of complex cross-functional issues. Collaborate with engineering leaders, suppliers, and global experts; balance hardware and software tradeoffs; mentor engineers; support program reviews; and drive innovations for electric and conventional vehicle platforms.

Develops software functional detection methods for intelligent vehicle motion-control systems, including suspension, braking, steering, and vehicle-dynamics integration. Leads debugging, root-cause analysis, validation, simulation, and fail-operational system improvements across vehicle systems. Collaborates with engineering teams, chief engineers, suppliers, and global experts; guides technical teams, resolves complex cross-functional issues, supports program reviews, and drives innovations in vehicle dynamics software and simulation practices.

Develop and maintain ISO 26262-compliant functional safety software for ADAS and autonomous-driving ECUs. Implement safety mechanisms, diagnostics, monitoring, integration, calibration, and embedded FUSA software across camera, radar, sensor-fusion, and centralized compute platforms. Produce safety requirements, architectures, hardware-software interface specifications, traceability, and safety analyses while collaborating with multidisciplinary engineering teams.

Lead EMS emissions development for electric-vehicle powertrain systems, owning SOR, DFMEA, calibration, emission controls, exhaust and evaporative systems, catalyst and GPF strategies, OBD, and base-model calibration. Validate systems through test-bed, chassis dynamometer, vehicle, road, and environmental testing while optimizing after-treatment performance and emissions. Collaborate with engineering, quality, and suppliers and ensure compliance with homologation and emission regulations.

Lead engine management system onboard diagnostics development, including OBD1/OBD2 calibration, control algorithms, component validation, DFMEA, SOR ownership, and exhaust after-treatment, intake, EVAP, and base-model calibration. Collaborate with engineering, quality, and suppliers while conducting test-bed, chassis dynamometer, vehicle, road, and environmental testing. The role requires deep expertise in EMS software, calibration, ICE sensors and actuators, catalyst and GPF control, emissions regulations, homologation, OBM, and IUPR strategies.

Leads EMS development and calibration for internal combustion engine systems, including sensors, actuators, air and fuel paths, spark, torque, base models, catalyst heating, and operating maps. Optimizes ICE performance, BSFC, and emissions across cold starts, hot conditions, altitude, and vehicle operation. Collaborates with engineering, quality, and suppliers and participates in test-bed, chassis dynamometer, vehicle, road, and environmental testing.

Leads PCB design activities, coordinates with schematic, mechanical, and production engineering teams, analyzes design issues, proposes technical improvements, manages development problems in Jira, Codebeamer, and TFS, and prepares work plans and reports. The role requires automotive electronics expertise, PCB design experience, product integration knowledge, CAN/LIN protocols, circuit design skills, and proficiency with Cadence Allegro, Altium, CAM, and electronic testing equipment.

Owns end-to-end AI model deployment infrastructure for VoiceAI, Agentic AI, and robotics systems. Designs scalable MLOps pipelines, Kubernetes clusters on AWS EKS, GPU-optimized model serving with vLLM and Triton, CI/CD automation, autoscaling, and observability. Requires deep expertise in AWS, Kubernetes, NVIDIA CUDA, model serving, infrastructure as code, and Python/Bash automation.

Develops and manages global automotive service networks and after-sales operations. Responsibilities include onboarding and managing international service partners, establishing service standards, implementing maintenance and warranty processes, monitoring KPIs and SLAs, supporting overseas market launches, resolving operational issues, and driving continuous improvement. Requires automotive or business education, at least five years of relevant experience, strong English, Vietnamese nationality, and willingness to relocate abroad long-term.

Develop and deploy LLM-based conversational and multi-agent systems for automotive domains. Fine-tune and evaluate LLMs, implement RAG/knowledge bases, design agent orchestration, optimize models for edge devices, build personalization and proactive features, and ensure safety, evaluation, and production-grade MLOps/LLMOps.

Lead NVH CAE development for full vehicle and trimmed body systems. Build and run modal, dynamic stiffness, NTF and VTF simulations, correlate models with test data, perform root-cause analyses, propose and support design countermeasures, and collaborate with cross-functional teams to meet NVH targets and improve CAE methodologies.

Develop and integrate production ADAS functions, including path planning, vehicle control, LKA, ACC, FCW, AEB, and NOP. Implement C/C++ algorithms on ECUs, debug sensor-to-vehicle control chains, and perform vehicle calibration, tuning, testing, data analysis, and root-cause investigations. Support ASPICE-based development and validation while collaborating across Hanoi-area testing locations.

Develop and integrate L2/L2+ ADAS functions, including sensor fusion, object selection, and driving features such as LKA, ACC, FCW, AEB, and NOP. Implement production algorithms in C/C++, integrate them into ECUs and vehicles, and perform perception debugging, calibration, tuning, vehicle testing, data analysis, and root-cause investigation. Support ASPICE-compliant development and verification.

Define, maintain, and improve software quality processes, guidelines, templates, checklists, and tools for ADAS projects. Evaluate process performance and work-product quality, optimize development processes, support internal and external audits, and collaborate with engineering, quality control, and suppliers. The role requires automotive software quality experience, software development lifecycle knowledge, and familiarity with standards such as ASPICE, ISO 9001, ISO 26262, CMMI, and Agile.

Own evaluation of ADAS training data and model performance. Design evaluation methods, analyze model errors, automate data-quality checks, measure annotation agreement, define labeling standards, approve dataset releases, and report findings to engineering and management. The role requires broad ownership across data science, machine learning evaluation, quality automation, statistics, and stakeholder communication, with opportunities to evaluate computer vision models and benchmark datasets.