Software Engineer/ Data Platform

at VinAI (View all jobs)

Hanoi, HCM

VinAI Research is a leading research lab with offices in Hanoi and Ho Chi Minh City, Vietnam. Funded by Vin Group, the largest enterprise in Vietnam by capitalization, our mission is to conduct high-impact research that pushes the knowledge frontier in AI and to accelerate applications of AI in Vietnam, the Asia Pacific region, and beyond.

Headed by its founding director, Dr. Hung H. Bui (formerly of Google DeepMind), this is the first AI research lab in Vietnam created with a focus on top-tier research and publications. The lab enjoys a world-class research facility, including ample access to computing infrastructure and GPUs. In addition, it maintains active research collaboration with other top AI research labs around the world. The current research areas include machine learning, deep learning, computer vision, natural language technologies and reinforcement learning.

Who is VinAI looking for? 

Data is deeply embedded in the product and engineering culture at VinAI. We rely on data – lots of it – to improve autopilot, to optimize hardware designs, to proactively detect faults, and to optimize load on the electrical grid. We collect data from each of our cars, superchargers, and stationary batteries and use it to make these products better and our customers safer.

We’re the small but fast-growing team which is building and operating the big data platform for the company. We collect massive amounts of IoT data, provide storage, access, and high-volume processing. Our stack is built on top of open source technologies, including Spark, Kafka, and related.

We’re looking for a talented engineer to join us as a foundational member of the team to deliver new and improved big data services and infrastructure. Your work will affect many hundreds of Tesla engineers daily, as well as improving the functionality of our cars, chargers, and batteries worldwide.

What you’ll do

  • Employ and improve industry-leading, scalable, distributed open-source technologies
  • Build back-end systems from scratch that are capable of handling trillion+ events per day
  • Facilitate operation of highly-available distributed systems at scale and across multiple locations
  • Facilitate others in deploying, operating, and extending upon your clean, tested code
  • Help define a platform that is highly leveraged, multi-tenant, and self-serviced
  • Work with data engineers and data scientists to drive efficient solutions from the platform
  • Help define the data story and enable data-driven solutions at Tesla, both technically and culturally

What you’ll need

  • BS in Computer Science, Physics, Computer Engineering, Electrical Engineering or proof of exceptional skills in related fields, with practical software engineering experience.
  • Strong programming fundamentals, particularly in data structures, concurrency, and Java
  • Deep understanding of a complex distributed system, such as Kafka, Spark, HBase, ElasticSearch
  • Have built and optimized highly available, scalable, distributed back-end services
  • Ability to break down and deeply understand complex problems and communicate complex matters efficiently
  • Strong problem solving skills, optimizing for the simplest, most robust yet practical solutions
  • Reliable, dependable, trustworthy, participating team member
  • Smart but humble, with a bias for action

Nice to Have

  • Proficiency in Python or Scala
  • Experience with cloud infrastructure such as AWS
  • Robust DevOps/SRE abilities

Why you’ll love work here:

  • Compensation is highly competitive and will take into account the applicant’s current experience level
  • Work on challenging real-world AI/ML problems.
  • Opportunity to continuously grow your knowledge in ML technology.
  • Opportunity to contribute, interact, share and learn from exceptionally talented colleagues.
  • Chance to publish research outputs at top-tier AI venues.
  • Chance to work with experienced AI scientists worldwide
  • Trained on A.I algorithm development and problem-solving skills to tackle real-world applications
  • Opportunity to contribute, interact, share and learn from exceptionally talented colleagues.

Interested applicants are invited to send your application to