Senior Deep Learning Engineer - AI for Wireless Systems

JOB DESCRIPTION

Design and prototype deep learning models for wireless signal processing tasks such as channel estimation, beam alignment, link adaptation, and scheduling.
Work with simulation tools and real-world datasets to build models that generalize across diverse wireless scenarios.
Implement, train, and validate neural networks (e.g., CNNs, Transformers, GNNs) using PyTorch or TensorFlow.
Collaborate with researchers and system engineers to integrate models into fullstack RAN.
Optimize model performance for real-time inference and hardware acceleration.
Contribute to model evaluation, benchmarking, and deployment readiness on GPU platforms.

JOB REQUIREMENT

MS or PhD in Electrical Engineering, Computer Engineering, or a related field (or equivalent experience).
12+ years of experience in wireless communications, signal processing, or AI/ML.
Deep understanding of communication systems (e.g., MIMO, OFDM, fading channels) and DSP fundamentals.
Strong experience in training and deploying deep learning models for time-series or signal-based tasks.
Proficiency in Python and experience with DL frameworks like PyTorch or TensorFlow.
Familiarity with tools such as MATLAB, GNU Radio, or Sionna for wireless simulation.
Ways to Stand Out from the Crowd:
Experience with AI for 5G/6G systems, AI-for-RAN architecture, or telecom-grade deployments.
Knowledge of 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

This is template

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:

Computer Hardware

Technical Skills:

Machine Learning

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Onsite

Salary:

Negotiation

Job ID:

J01974

Status:

Active

Related Job:

Engineering Manager - AI for RAN and 6G Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam


Computer Hardware

  • Machine Learning
  • Management

Lead and grow a high-impact engineering team focused on AI-enabled signal processing for the Radio Access Network (RAN). Guide the development of deep learning models for tasks such as channel estimation, beamforming, link adaptation, and CSI compression. Collaborate with global teams across architecture, research, and systems to drive proof-of-concepts and production-quality AI-RAN components. Oversee integration of AI models into full-stack simulations and/or testbeds using frameworks such as PyTorch, TensorFlow, and Sionna. Align project priorities with hardware-software co-design constraints and deployment scenarios on Our Client's platforms. Mentor team members, ensure technical excellence, and contribute to strategic direction.

Negotiation

View details

Director Engineering – Software Engineering and AI Inferencing Platforms

Ho Chi Minh, Ha Noi - Viet Nam


Computer Hardware

  • Management
  • Backend
  • Cloud
  • Data Engineering
  • AI

Build, lead and scale world-class engineering teams in Vietnam, collaborating with global counterparts across system software, data science, and AI platforms. Drive the design, architecture, and delivery of high-performance system software platforms that power Our Client's AI products and services. Partner with global teams across Machine Learning, Inference Services, and Hardware/Software integration to ensure performance, reliability, and scalability. Oversee the development and optimization of AI delivery platforms in Vietnam, including NIMs, Blueprints, and other flagship Our Client's services. Engage with open-source and enterprise data and workflow ecosystems (e.g., Temporal, Gitlab DevOps Platform, RAPIDS, NeMo Curator, Morpheus) to advance accelerated AI factory, data science and data engineering workloads. Champion continuous integration, continuous delivery, and engineering best practices across multi-site R&D Centers. Collaborate with product management and cross-functional stakeholders to ensure enterprise readiness and customer impact. Develop and deploy standard processes for large-scale, distributed system testing, encompassing stress, scale, failover, and resiliency testing. Ensure security and compliance testing aligns with industry standards for cloud and data center products. Mentor and develop talent within the organization, fostering a culture of quality and continuous improvement.

Negotiation

View details

Senior Natural Language Processing Engineer

Ho Chi Minh - Viet Nam


Computer Hardware

  • Machine Learning
  • NLP

Develop and refine AI language models for various NLP tasks, including translation and sentiment analysis. Implement and integrate models across multiple language pairs, ensuring seamless integration within Our Client's projects. Collaborate with multi-functional teams to ensure the successful deployment of NLP models. Continuously evaluate and improve model performance to maintain world-class standards.

Negotiation

View details