Platform Product Reliability - San Jose, United States
Originally posted 12 May 2026 by the employer.
About the role
This role leads reliability engineering across server, rack, and datacenter platform products, owning system-level product reliability from architecture through fleet deployment.
What you'll do
- Define and own the end-to-end reliability strategy for AI servers, accelerator platforms, rack systems, and datacenter infrastructure from design requirements through field deployment. - Establish reliability requirements, qualification standards, and EVT / DVT / PVT qualification gates and exit criteria. - Develop system reliability models including MTBF projections, FIT rate analysis, Weibull lifetime modeling, and component derating methodologies. - Lead root-cause investigations for reliability failures surfaced during development, manufacturing, and field deployment across hardware, firmware, thermal, and mechanical domains. - Work closely with ODMs, JDMs, contract manufacturers, and component suppliers to validate and enforce platform reliability commitments.
What you'll need
- BS, MS, or PhD in Electrical Engineering, Mechanical Engineering, Reliability Engineering, or a related technical field. - 5+ years of reliability engineering experience in hardware-centric organizations, with focused time spent on complex systems rather than component-level work. - Experience leading reliability programs for AI accelerator or GPU-class compute systems, hyperscale or cloud server infrastructure, networking platforms, storage systems, or rack-scale infrastructure. - Deep understanding of system-level failure mechanisms, including thermal, power delivery, mechanical, and connector/interconnect failure modes. - Hands-on experience with FMEA, Weibull analysis, HALT/HASS, qualification planning, failure analysis methodologies, and reliability statistics and modeling.
Nice to have
- Experience with liquid-cooled systems, high-density power delivery, or thermal management for high-power AI infrastructure. - Direct experience supporting hyperscale or cloud datacenter deployments at scale, including customer-facing reliability commitments and SLA management. - Demonstrated experience building a reliability organization from early-stage, establishing processes, tooling, and team norms. - Familiarity with fleet telemetry systems, large-scale field reliability analytics, and data-driven approaches to proactive reliability management. - Experience working closely with ODM or JDM partners in Taiwan or broader Asia, including NPI support and on-site qualification engagement. - Background in high-speed digital systems, GPU compute platforms, or accelerator-based architectures.
Skills: reliability strategy, AI servers, HALT/HASS, Weibull analysis, FMEA, failure mechanisms
This role has been open 103 days — well above the 55-day median for Reliability Engineering roles.
Reliability Engineering · Reliability Engineering
|
Open roles in category
439
|
Median days open
55 d
|
Median salary
$153k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Etched | All employers we track in this specialty (439 roles · 70 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 439 |
| Open roles in the wider Process, Fab & Equipment family | 16 | 10037 · 107 employers |
| Median days open | 103 d | 55 d (+48 d vs this employer) |
| Median salary (USD postings) | — | $153k |
Skills observed across this category: reliability strategy, AI servers, HALT/HASS, Weibull analysis, FMEA, failure mechanisms
Who's hiring in this category
- Micron Technology · 79 open roles · median 134 d
- Infineon Technologies · 32 open roles · median 45 d
- Renesas Electronics · 23 open roles · median 41 d
- Analog Devices · 19 open roles · median 58 d
- STMicroelectronics · 18 open roles · median 28 d
- onsemi · 17 open roles · median 75 d
How we counted: 439 open Reliability Engineering (Reliability Engineering) roles from 70 employers tracked in the SemiconductorJobs index, counted 21 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Process, Fab & Equipment family row. Figures refresh nightly.