Etched

2 months ago

Head of Platform Product Reliability

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 minutes agoStatus: Live

Job Summary

Lead end-to-end reliability engineering for AI server, accelerator platform, rack, and datacenter infrastructure. Own reliability strategy from design requirements through fleet deployment, including EVT/DVT/PVT gates, ALT/AST, environmental and HALT/HASS programs, root-cause investigations, and system reliability modeling (MTBF, FIT, Weibull). Partner cross-functionally and with contract manufacturers/ODM/JDMs to enforce reliability commitments, build fleet telemetry visibility, and drive product release readiness.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Director level

Key Responsibilities

•Define and own end-to-end reliability strategy for AI servers, accelerator platforms, rack systems, and datacenter infrastructure from requirements through field deployment.
•Establish reliability requirements, qualification standards, and validation methodologies across product generations.
•Institutionalize full lifecycle reliability engineering processes including qualification gates, accelerated life/stress testing, environmental testing, HALT/HASS, and stress testing (vibration/shock/transport/power/thermal/soak).
•Lead root-cause investigations and drive corrective actions across hardware, firmware, thermal, and mechanical domains.
•Build fleet reliability infrastructure (telemetry analysis, field feedback loops, monitoring frameworks) and lead reliability signoff and release readiness reviews.

Pay and Benefits

Perks:Health InsuranceDentalVisionHousing SubsidyRelocationMeal AllowanceWellness Stipend

Key Requirements

•BS, MS, or PhD in Electrical Engineering, Mechanical Engineering, Reliability Engineering, or a related technical field.
•10+ years of reliability engineering experience in hardware-centric organizations, focused on complex systems rather than component-level work.
•Experience leading reliability programs for AI accelerator/GPU-class compute systems, hyperscale/cloud server infrastructure, or networking/storage/rack-scale infrastructure.
•Deep system-level failure mechanism knowledge (thermal, power delivery, mechanical, connector/interconnect failures) and how design affects long-term field reliability.
•Hands-on experience with FMEA, Weibull analysis, HALT/HASS, qualification planning, failure analysis, and reliability statistics/modeling.

Experience:10+ yearsHardwareAI infrastructureDatacenterHyperscaleGPU compute

Skills:Technical judgmentCross-functional communicationStakeholder influenceRoot-cause analysisProgram leadership

Tech Stack:EVTDVTPVTALTASTHALTHASSFMEAWeibull modelingMTBFFIT rate analysisComponent deratingReliability growth trackingTelemetry analysis pipelinesFleet reliability monitoringWeibull lifetime modelingMTBF projections

Company Brief

Etched

Designs transformer‑specialized AI inference ASICs (product: Sohu) to accelerate large‑language‑model workloads, working with TSMC for fabrication and targeting energy‑efficient inference performance.

Industry: Hardware Devices

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Valuation: Unicorn (USD 1B+)

Funding: Series A

Headquarters: San Jose, United States

Founded: 2022

Website LinkedIn Glassdoor

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Etched

2 months ago

Head of Platform Product Reliability

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 minutes agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Director level

Key Responsibilities

•Define and own end-to-end reliability strategy for AI servers, accelerator platforms, rack systems, and datacenter infrastructure from requirements through field deployment.
•Establish reliability requirements, qualification standards, and validation methodologies across product generations.
•Institutionalize full lifecycle reliability engineering processes including qualification gates, accelerated life/stress testing, environmental testing, HALT/HASS, and stress testing (vibration/shock/transport/power/thermal/soak).
•Lead root-cause investigations and drive corrective actions across hardware, firmware, thermal, and mechanical domains.
•Build fleet reliability infrastructure (telemetry analysis, field feedback loops, monitoring frameworks) and lead reliability signoff and release readiness reviews.

Pay and Benefits

Perks:Health InsuranceDentalVisionHousing SubsidyRelocationMeal AllowanceWellness Stipend

Key Requirements

•BS, MS, or PhD in Electrical Engineering, Mechanical Engineering, Reliability Engineering, or a related technical field.
•10+ years of reliability engineering experience in hardware-centric organizations, focused on complex systems rather than component-level work.
•Experience leading reliability programs for AI accelerator/GPU-class compute systems, hyperscale/cloud server infrastructure, or networking/storage/rack-scale infrastructure.
•Deep system-level failure mechanism knowledge (thermal, power delivery, mechanical, connector/interconnect failures) and how design affects long-term field reliability.
•Hands-on experience with FMEA, Weibull analysis, HALT/HASS, qualification planning, failure analysis, and reliability statistics/modeling.

Experience:10+ yearsHardwareAI infrastructureDatacenterHyperscaleGPU compute

Skills:Technical judgmentCross-functional communicationStakeholder influenceRoot-cause analysisProgram leadership

Company Brief

Etched

Industry: Hardware Devices

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Valuation: Unicorn (USD 1B+)

Funding: Series A

Headquarters: San Jose, United States

Founded: 2022

Website LinkedIn Glassdoor