$99,500 - $149,300 USD yearly
Originally posted 10 November 2026 by the employer.
About the role
This role drives system-level bring-up, debug, validation, and failure analysis of accelerator cards, servers, and rack-scale platforms within the Data Center team. Focus areas include identifying and triaging hardware, firmware, and software failures for rack-scale AI inference solutions.
What you'll do
- Investigate hardware, firmware, and software failures encountered during card, server, rack, and test fixture bring-up.
- Drive end-to-end debug activities, including issue triage, root cause analysis, and communication with stakeholders.
- Execute validation plans and debug methodologies for accelerator cards, server platforms, Ethernet, PCIe, and high-speed I/O interfaces.
- Gather, analyze, and correlate failure data to identify trends, isolate root causes, and drive corrective actions.
- Develop, integrate, and document hardware and software bring-up, validation, and debug processes.
- Design and enhance test automation infrastructure to improve debug efficiency, validation coverage, and test stability.
What you'll need
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 2 years of Systems Engineering or related work experience (or Master's with 1 year, or PhD).
- Experience debugging and validating enterprise-class hardware, firmware, and software systems.
- Understanding of server architectures, AI accelerators or GPU cards, PCIe, networking, and system integration.
- Hands-on experience with failure analysis methodologies, root cause investigation, and laboratory system bring-up activities.
- Proficiency using hardware debug equipment, including oscilloscopes, JTAG tools, and other diagnostic instrumentation.
- Experience with Linux-based automation environments, scripting, and hardware debug in a Linux environment.
Nice to have
- Experience with server manufacturing test, failure analysis, or system qualification.
- Experience developing debug and test automation tools using Python or similar scripting languages.
- Experience debugging PCIe, Ethernet, memory, power, or signal integrity issues using protocol or logic analyzers.
- Experience supporting rack-scale AI, HPC, or data center platforms.
- Experience supporting DevOps and IT infrastructure activities in engineering lab and test environments.
Skills: bring-up, debug, AI accelerators, PCIe, server platforms, failure analysis
More semiconductor jobs: Qualcomm jobs · Silicon validation jobs · San Diego jobs
First seen in our index 0 days ago, well below the 42-day median for Post-Silicon Validation roles.
Post-Silicon Validation · Silicon Validation
|
Open roles in category
467
|
Median days since first seen
42 d
|
Category median salary (all employers)
$168k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (467 roles · 67 employers) |
|---|---|---|
| Open roles in this specialty | 43 | 467 |
| Open roles in the wider Silicon Validation & Test family | 143 | 2439 · 120 employers |
| Median days since first seen | 39 d | 42 d (+3 d vs this employer) |
| Median salary (USD postings) | n/a | $168k |
Skills observed across this category: bring-up, debug, AI accelerators, PCIe, server platforms, failure analysis
Who's hiring in this category
- AMD · 62 open roles · median 42 d
- Qualcomm (this employer) · 41 open roles · median 39 d
- Micron Technology · 31 open roles · median 49 d
- Apple · 29 open roles · median 19 d
- NVIDIA · 26 open roles · median 42 d
- Microchip Technology · 23 open roles · median 88 d
How we counted: 467 open Post-Silicon Validation (Silicon Validation) roles from 67 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.