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, AI

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Onsite

Job ID:

J01974

Status:

Close

Related Job:

Cloud Engineer (Azure)

Ho Chi Minh - Viet Nam

Product, Outsource

  • Devops
  • Azure

Design, set up, and operate the Core Cloud Infrastructure. Integrate cloud services into the Developer Platform, including financial operations (FinOps). Implement and manage infrastructure as code (IaC) using Terraform, OpenTofu, and Crossplane. Utilize cloud services effectively. Develop and maintain scripts and applications using Python and Go. Manage CI/CD pipelines using ArgoCD and cloud-specific pipelines. Implement FinOps tools. Ensure the security and networking of the cloud infrastructure.

Negotiation

View details

DevOps Engineer

Ho Chi Minh - Viet Nam

Product, Outsource

  • Devops
  • Azure
  • Kubernetes

Create a Kubernetes-based Developer Platform on Azure Automate infrastructure deployments on Azure Ensure efficient and secure operation of the Developer Platform Collaborate with software developers, architects, and product owners to collect and structure architectural decisions Contribute to the continuous improvement of documentation practices

Negotiation

View details

AI AUTOMATION DEVELOPER

Ho Chi Minh - Viet Nam

Product, Outsource

  • AI
  • NodeJS

Create and implement GenAI-based applications across the client's operational processes Convert business needs into technical prototypes and operational applications Develop chat agents, copilots, and workflow automatons to enhance operational teams Leverage Microsoft Copilot Studio, Azure AI Services, and automation tools like Power Automate to craft scalable AI solutions Integrate GenAI features into existing systems and procedures Ensure responsible AI use, data accuracy, and compliance with internal security standards Keep abreast of new GenAI technologies, tools, and platforms through constant research and assessment Work collaboratively with various experts within operations, IT, and business units to document solutions and share knowledge across teams

Negotiation

View details