Signal Integrity Engineer

JONDAVIDSON PTE. LTD.; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

JONDAVIDSON PTE. LTD is seeking a seasoned signals-integrity engineer to perform high-speed simulation and analysis for AI server platforms.

You will collaborate with cross-functional teams to optimize interfaces and support testing through to mass production. Applicants should have 5+ years in high-speed simulation, strong PCIe Gen5/Gen6 and DDR5 knowledge, and hands-on experience with HFSS/SIwave, Sigrity or Keysight ADS.

Qualifications

• 5+ years in high-speed simulation and signal integrity for servers/HPC.
• Strong knowledge of PCIe Gen5/Gen6 and DDR5 interfaces.
• Experience with HFSS, SIwave, Sigrity or Keysight ADS.
• Interpret S-parameters, eye diagrams, jitter and crosstalk.
• PCB simulation and lab validation experience.

Responsibilities

• Perform board- and system-level high-speed simulation and validation for AI servers.
• Analyze PCIe Gen5/Gen6, DDR5, Ethernet interfaces to optimize signal quality.
• Conduct pre- and post-layout simulations, eye diagrams, jitter, crosstalk, and impedance analyses.
• Define PCB stack-up, routing constraints, differential-pair rules, and high-speed design guidelines.
• Execute high-speed signal measurement and correlate simulation with lab testing.
• Collaborate with Motherboard, Power, Thermal, Mechanical and PCB Layout teams to integrate SI across disciplines.
• Support EVT, DVT, and PVT phases by troubleshooting and enabling mass production.

Skills

High-speed simulation

Signal integrity analysis

PCIe Gen5/Gen6

DDR5

S-parameters interpretation

Lab validation

Tools

Ansys HFSS

Cadence Sigrity

Keysight ADS

SIwave

Job description

Company Overview

JONDAVIDSON PTE. LTD is an executive search company established in 2007, specializing in middle management and above across IT/Telco, Healthcare, Hospitality, Engineering, Marine Oil & Gas, and Aviation sectors. We partner closely with clients and candidates for lasting success.

Job Summary

Perform high-speed simulation and signal integrity analysis for AI server platforms, collaborating with cross-functional teams to optimize high-speed interfaces and support testing through to mass production.

Responsibilities

• Perform system- and board-level high-speed simulation, signal integrity analysis, and validation for AI server platforms to ensure optimal performance.
• Analyze and optimize PCIe Gen5/Gen6, DDR5, Ethernet, and other high-speed interfaces to enhance signal quality and reliability.
• Conduct pre-layout and post-layout simulations including channel analysis, eye diagrams, jitter, crosstalk, and impedance analysis to identify and resolve signal issues.
• Define PCB stack-up, routing constraints, differential-pair requirements, and high-speed design guidelines to support robust hardware design.
• Execute high-speed signal measurement, validation, debugging, and correlate simulation results with lab testing to ensure design accuracy.
• Collaborate closely with Motherboard, Power, Thermal, Mechanical, and PCB Layout teams to integrate signal integrity considerations across disciplines.
• Support Engineering Validation Test (EVT), Design Validation Test (DVT), and Production Validation Test (PVT) phases by troubleshooting and facilitating transition to mass production.

Required competencies and certifications

• Demonstrate 5+ years of experience in high-speed simulation and signal integrity analysis within servers, HPC, or high-performance electronic systems.
• Apply strong knowledge of PCIe Gen5/Gen6, DDR5, and high-speed serial interfaces to optimize system performance.
• Utilize simulation tools such as Ansys HFSS/SIwave, Cadence Sigrity, Keysight ADS, or equivalents for signal integrity analysis.
• Interpret S-parameters, insertion/return loss, crosstalk, jitter, eye diagrams, and channel modeling to diagnose and improve signal paths.
• Perform high-speed PCB simulation and lab validation to confirm design integrity.

Preferred competencies and qualifications

• Experience with high-density GPU server platforms, such as enterprise HGX or accelerator architectures, to support advanced computing environments.