Senior Deep Learning Engineer - AI for Wireless Systems

ABOUT CLIENT

Our client is a leading technology company specializing in graphics processing units (GPUs) and artificial intelligence (AI).

JOB DESCRIPTION

Develop and test deep learning models for various wireless signal processing tasks including channel estimation, beam alignment, link adaptation, and scheduling.
Utilize simulation tools and real-world datasets to create models that can be applied across different wireless scenarios.
Build, train, and assess neural networks (e.g., CNNs, Transformers, GNNs) with PyTorch or TensorFlow.
Engage in teamwork with researchers and system engineers to incorporate models into complete RAN systems.
Enhance model efficiency for real-time processing and hardware acceleration.
Participate in model assessment, performance comparison, and deployment preparation on GPU platforms.

JOB REQUIREMENT

Advanced degree in Electrical Engineering, Computer Engineering, or a related field, or relevant experience.
Extensive experience in wireless communications, signal processing, or AI/ML.
In-depth knowledge of communication systems such as MIMO, OFDM, and fading channels, as well as DSP fundamentals.
Proven experience in developing and implementing deep learning models for time-series or signal-based tasks.
Proficiency in Python and expertise with DL frameworks like PyTorch or TensorFlow.
Familiarity with tools like MATLAB, GNU Radio, or Sionna for wireless simulation.
Ways to Stand Out from the Crowd:
Experience in AI for 5G/6G systems, AI-for-RAN architecture, or telecom-grade deployments.
Knowledge in channel estimation by AI, model compression, real-time inference, or GPU optimization.
Exposure to CUDA, Triton, or real-time inference pipelines.
Contributions to research publications or open-source wireless/AI projects.

WHAT'S ON OFFER

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Machine Learning

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Onsite

Salary:

Negotiation

Job ID:

J01974

Status:

Active

Related Job:

OSS Software Engineer

Ho Chi Minh - Viet Nam


Product

  • C/C++

Collaborate with a small team of engineers to: Develop software primarily using C language Perform thorough software testing Deliver projects in phased releases Offer customer support for live operations Coordinate software development and support activities with the manager and the core development team based in California, USA

Negotiation

View details

Backend Engineer (Python/Kotlin)

Ho Chi Minh, Ha Noi - Viet Nam


Outsource

  • Python
  • Kotlin
  • AWS

Create and develop financial products on top of a core banking platform called Thought Machine Vault Create and develop event-driven microservices to enhance the functionality of the core banking platform Maintain and enhance service reliability through effective simulation, end-to-end, and performance tests Enhance SRE processes and offer production support for services Write high-quality, sustainable code using TDD Utilize Kubernetes and Docker for scheduling and running microservices Technology stack comprises mainly of Python and Kotlin/Java, with the flexibility to use the most suitable language for problem-solving Utilize PostgreSQL, Aurora, and S3 for persistence Harness the elastic AWS infrastructure Practice continuous integration and delivery Follow the approach of "you build it, you run it."

Negotiation

View details

Senior Full-stack Java Software Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Java
  • Angular
  • Cloud

Create and uphold full-stack web applications using Java as the primary language, Spring Boot for the backend, and Angular (TypeScript) for the frontend. Develop and execute RESTful APIs with a focus on scalability, security, and performance. Engage in system design, technical discussions, and code review. Utilize AWS cloud services for the deployment and management of applications in production. Implement unit tests and integration tests to guarantee code quality. Contribute to Agile/Scrum teams alongside Product Owner, QA, and DevOps. Provide guidance and assistance to less experienced developers.

Negotiation

View details