VINFAST is a pioneering electric vehicle (EV) company committed to revolutionizing the automotive
industry with sustainable and innovative mobility solutions. As a leading player in the EV market,
VinFast is dedicated to delivering high-quality, cutting-edge electric vehicles that redefine the driving
experience. Our team consists of passionate professionals driven by a shared vision of creating a greener and
more sustainable future through innovation, technology, and excellence.

We are
seeking
a highly skilled
Experts,
Senior
s, Engineers
to join our self-driving team. In this role, you will design, develop, and deploy advanced algorithms that enable autonomous vehicles to accurately sense, interpret, and interact with the world around them. You will work on
cutting-edge
challenges in 3D
object and occupancy
detection, tracking, sensor fusion, scene understanding, and foundation models for self-driving, with direct impact on the safety and performance of our autonomous systems.
This is an opportunity to contribute at the intersection of deep learning, computer vision, robotics, and system engineering, while collaborating with a world-class team of researchers and engineers.

• 
  Design and implement data lake
  s as a
  flexible and scalable storage of
  sensor data

• 
  Build scalable pipelines
  for
  indexing
  raw and extracted sensor data

• 
  Develop
  searchable database
  s
  for
  efficient
  information retrieval

• 
  Implement robust ETL pipelines to extract, transform, and load data into a structured data warehouse

• 
  Establish automated systems for data validation and quality assurance
  for large
  multi-modal datasets

• 
  Build tools for indexing and version control of extracted sensor data

• 
  Integrate
  labeling workflows
  into
  a
  data loop
  (s
  emi
  -
  a
  utomatic
  , active learning, crowdsourcing etc.
  )

• 
  Collaborate with algorithm and software engineering teams to ensure data integrity, traceability, and reproducibility

• 
  MSc/BSc degree with 3+ years of industrial experience in Computer Science, Machine Learning, Robotics and/or similar technical field

• 
  Proficiency
  in
  Python
  and
  strong software engineering
  skills

• 
  Comfortable
  in
  building
  data
  processing pipelines
  tailored for
  ML
  training pipelines

• 
  Knowledge of (at least one) of the
  Parquet, Pandas, Spark
  frameworks

• 
  Solid
  understanding of the main
  sensor modalities
  for self-driving (
  cameras, L
  i
  DAR,
  radar, GPS)

• 
  Experience with
  establishing
  dataset
  version control

• 
  Familiarity with
  cloud job orchestration
  ,
  monitoring, and instrumentation best-practices

• 
  Ability to solve hard problems and handle large amounts of heterogeneous data

• 
  Prior experience in self-driving or ADAS development and familiarity with functional safety standards (ISO 26262, SOTIF)