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We highly appreciate your interest in this position of HCLTECH Vietnam. After reviewing all applications, only qualified candidates will be contacted for the next steps within 15 days from date of submission.
ABOUT HCLTECH VIETNAM COMPANY LIMITED
HCLTECH Vietnam Company Limited belongs to HCLTech.
HCLTech is a global technology company, home to more than 226,600 people across 60 countries, delivering industry-leading capabilities centered around Digital, Engineering, Cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, High Tech, Semiconductor, Telecom and Media, Retail and CPG and Public Services. Consolidated revenues as of 12 months ending September 2025 totaled $14.2 billion. To learn how we can supercharge progress for you, visit hcltech.com.
Work scope summary:
1. SW/FW design and validation for a new Design Verification instrument
2. Existing instrument debug and triage to support factory integration and deployment
3. New instruments bring-up for local factory integration and deployment
4. Backend FPGA RTL simulation and debug
5. AI tooling creation (Gen AI and Agentic AI)
Job requirement:
• Master's degree in computer science, Computer Engineering or Electrical Engineering from a
top university
◦ With a focus on AI/ML
• Strong proficiency in a modern systems programming language such as C++, ObjectiveC/
Swift, or Rust. A demonstrated ability to quickly master new languages and platforms is
highly valued.
• Hands on with programming embedded system and using common interfaces such as I2C,
SPI, UART, USB etc.
• Hands on with scripting language Python/Lua/Bash and Linux
• Design and verification experience of FPGA RTL components using System Verilog.
• Experience acting as a technical partner to internal customers. Need to translate vague
requirements from teams into concrete engineering specifications.
• Functional literacy in AI/ML concepts: Understand the fundamental lifecycle of machine
learning (datasets, training vs. inference, evaluation metrics) and can discuss the engineering
challenges involved.
• Practical knowledge and operational experience using modern LLM AI tools such as
ChatGPT/Claude Code
• Demonstrated experience in problem abstract and solving: have the ability to navigate the
ambiguity of a relatively complex issue, summarize and analyze.
• Great communication skills in both English and Vietnamese.
Preferred qualifications:
• Experience in modern MacOS programming (Swift, SwiftUI)
• Verbal communication in Chinese
• Modern Altera FPGA experience
• Hands-on experience building and deploying LLM or Agentic AI tools, and using them to
drive proactive improvements in work efficiency
