INTRODUCTION
Phenikaa-X is a Phenikaa Group company developing autonomous vehicles, robotics and automation technology in Vietnam. Our portfolio includes autonomous vehicles, autonomous mobile robots and drones, supported by technologies such as artificial intelligence, mapping and simulation. We aim to bring autonomous technology into transportation, manufacturing and service operations, with a focus on safety, reliability and operational efficiency.
Our research team develops methods for perception, prediction and planning in autonomous driving, with priority directions in world models, foundation models and reinforcement learning. Researchers focus on a relevant domain and work with ML, simulation and integration engineers to test its contribution to the system.
You will own experiments in a selected autonomous-driving domain, from reproducible baselines to system evaluation. Depending on your focus, your work may involve world models, foundation models or RL for scene understanding, prediction or planning.
JOB DESCRIPTION
- In your assigned domain, develop perception, prediction or planning methods, such as world models for future scene states or foundation models adapted using sensor sequences and driving demonstrations.
- Compare suitable learning and post-training methods, such as RL, supervised fine-tuning or distillation; test objectives, data mixtures and, for policy learning, reward designs against clear baselines.
- Implement training and evaluation in Python with PyTorch or JAX; use data parallelism or model-state sharding to run experiments within available GPU memory and compute.
- Test temporal consistency, long-horizon prediction and planning behavior; run ablations, inspect difficult scenarios and check whether offline gains survive closed-loop simulation.
- Work with engineers on model interfaces and approved system tests; deliver reproducible code and technical reports, and prepare papers when results and disclosure policy permit.
REQUIREMENTS
- A master’s or PhD in ML, computer science, robotics or a related field, or equivalent research experience. Bachelor’s holders with a strong research portfolio are eligible; bring at least 3 years of relevant research, including graduate research.
- Hands-on research in a relevant autonomy domain or in world modeling, foundation models or RL, with a contribution documented in a paper, technical report, substantive technical blog or open-source project.
- Python and PyTorch or JAX skills, plus experience running multi-GPU training with DDP, FSDP or an equivalent approach; explain batch scaling, checkpointing and memory trade-offs.
- Working knowledge of sequence models and learning objectives; explain the architecture, loss, optimization and failure modes of a model you trained or post-trained.
- Experience building held-out evaluations and ablations, detecting data leakage and diagnosing unstable training; communicate findings and limitations clearly in English.
Preferred skills
- Doctoral research focused on generative models, reinforcement learning or multimodal learning.
- Experience implementing an on-policy RL loop or learning from human preferences, including rollout collection and reward diagnostics.
- Experience post-training or distilling diffusion, flow-matching or autoregressive models for temporal, visual or action data.
- Experience with autonomous driving simulators, multi-node training or tensor-parallel inference for large models.
BENEFITS
- Salary: negotiation based on candidate’s capacity.
- Lunch allowance, holiday bonuses, 13th-month salary.
- Birthday, sick leave, maternity, and welfare policies according to Vietnam Labor Code.
- Overtime pay in accordance with legal regulations (150–300% rate depending on time).
- Full social insurance contribution; private health insurance for employees and managers.
- Dynamic, friendly working environment with passionate and talented engineers.
- Equipped with modern equipment such as a high configuration PC.
- Accessed high-configured supercomputers for training AI models.
CONTACT
Recruitment Department – Phenikaa-X JSC
- Email: tuyendung@phenikaa-x.com
- Contact: 0971131001 (Ms. Thuy Duong)