Lead ATE solution development, DFT planning, and silicon characterization for APU products.
Originally posted 14 April 2026 by the employer. Relisted by the employer on 7 August 2026.
About the role
This Product Development Engineer role is a senior technical leadership position within AMD's APU Product Engineering organization, responsible for delivering production-ready test and product solutions from silicon bring-up through high-volume manufacturing. The position leads product characterization, test strategy, design-for-test (DFT) planning, performance optimization, and ATE test development for APU products.
What you'll do
- Lead product test strategy, DFT planning, and ATE solution development for APU products.
- Drive silicon bring-up, characterization, product definition, and performance optimization activities.
- Optimize product quality, yield, test coverage, and manufacturing costs across production environments.
- Collaborate with Design, Validation, Product Engineering, and Hardware Infrastructure teams to define production test and debug solutions.
- Develop, validate, and troubleshoot ATE hardware, software, and test programs across manufacturing environments.
- Mentor engineers and establish scalable automation, infrastructure, and technical practices across product lines.
What you'll need
- Bachelor's degree in Electrical Engineering, Computer Science, or Computer Engineering.
- Experience in semiconductor product engineering, test engineering, silicon bring-up, characterization, and test solution development.
- Technical background in design-for-test (DFT) planning and performance optimization across the product lifecycle.
Nice to have
- Strong experience in semiconductor product engineering, test development, silicon validation, manufacturing, or device physics.
- Knowledge of high-speed interfaces and subsystems including PCIe, USB, DDR, SerDes, JTAG, I2C/I3C, GPIO, and PLLs.
- Expertise with ATE platforms, preferably Advantest V93K, and production test methodologies.
- Experience with silicon performance optimization, power management, yield improvement, and product characterization.
- Proficiency in Python, scripting, automation tools, Git, Linux/Unix, Windows, and modern development environments.
- Experience with data analysis and AI/ML-enabled continuous improvement.
Skills: test engineer, product engineer, design for test (DFT), silicon bring-up, characterization, test solution development
More semiconductor jobs: AMD jobs · Product engineer jobs · Texas jobs
First seen in our index 194 days ago, well above the 91-day median for Product Engineering roles.
Product Engineering · Manufacturing Equipment
|
Open roles in category
150
|
Median days since first seen
91 d
|
Category median salary (all employers)
$159k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (150 roles · 49 employers) |
|---|---|---|
| Open roles in this specialty | 10 | 150 |
| Open roles in the wider Silicon Validation & Test family | 149 | 2421 · 121 employers |
| Median days since first seen | 126 d | 91 d (−35 d vs this employer) |
| Median salary (USD postings) | n/a | $159k |
Skills observed across this category: test engineer, product engineer, design for test (DFT), silicon bring-up, characterization, test solution development
Who's hiring in this category
- Texas Instruments · 11 open roles · median 81 d
- AMD (this employer) · 10 open roles · median 126 d
- Micron Technology · 9 open roles · median 189 d
- onsemi · 9 open roles · median 104 d
- Analog Devices · 7 open roles · median 92 d
- Marvell Technology · 7 open roles · median 39 d
How we counted: 150 open Product Engineering (Manufacturing Equipment) roles from 49 employers tracked in the SemiconductorJobs index, counted 11 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there, and is counted in the wider Silicon Validation & Test family row. Days are counted from when our index first saw each posting, not from the employer's original posting date.