SoC HWQA Engineer — Pre-Silicon & Silicon Validation

NVIDIA Corporation; Hinoba-an; On-site; PHP 450,000 - 750,000; Full time

Job summary

NVIDIA Corporation is seeking a HWQA Engineer to drive quality improvements across pre-silicon and silicon validation for SoC platforms. You will collaborate with hardware ASIC, FPGA, and software teams to design test plans, validate interfaces, and optimize verification pipelines using AI techniques.

Qualified candidates have 3+ years in embedded/SoC validation, strong Linux, Windows on Arm, and GPU validation experience, with hands-on debugging across HW, FW, and SW.

Qualifications

• Graduate/Post Graduate in Computer Science/Electronics/Telecommunication.
• 3+ years of test development, validation on pre-silicon and silicon.
• Experience with Embedded/SoC platforms (Android/Linux/WOA).
• Strong Windows on Arm and GPU validation knowledge.
• IP-level validation and HW/SW/FW debugging skills.

Responsibilities

• Design, build and implement test cases and test plans for pre-silicon and silicon validation on FPGA/SoC platforms.
• Validate OS Kernel, CPU, Memory, IO interfaces (PCIe, USB, Ethernet).
• Develop automated testing frameworks and use Gen AI tools for stress and stability testing.
• Create workloads and identify tools to validate new chip features.
• Collaborate with hardware ASIC, FPGA and SW teams on requirements and test methods.
• Troubleshoot bugs and drive resolutions across HW, FW and SW.

Skills

Test development

Pre-silicon validation

SoC validation

Embedded Linux

Windows on Arm

GPU validation

Test automation

LLM/Gen AI in testing

Debugging

Education

Bachelor's degree in Computer Science/Electronics/Telecommunication

Tools

Automation frameworks

Stress/tools

Analyzer/Oscilloscope

Job description

NVIDIA Corporation is seeking a HWQA Engineer to drive quality improvements across pre-silicon and silicon validation for SoC platforms. You will collaborate with hardware ASIC, FPGA, and software teams to design test plans, validate interfaces, and optimize verification pipelines using AI techniques.

Qualified candidates have 3+ years in embedded/SoC validation, strong Linux, Windows on Arm, and GPU validation experience, with hands-on debugging across HW, FW, and SW.