Quality Engineer at Etched.ai

San Jose, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, AI Hardware, ManufacturingIndustries

Requirements

5+ years of experience in quality engineering, supplier quality, or manufacturing quality roles in datacenter hardware, servers, or semiconductor-related systems
Proven track record working with Tier 1 US-based contract manufacturers and/or ODMs
Familiarity with server assembly, burn-in, and system-level test workflows
Strong knowledge of quality tools and methodologies (SPC, FMEA, control plans, DOE)
Excellent cross-functional communication skills; ability to drive alignment across engineering, ops, and suppliers
Comfortable working on-site at CM factories and resolving issues in real time
Strong candidates may also have:
Background in AI ASIC or high-performance compute hardware
Experience with L11 rack-level integration and validation
Exposure to thermal/power stress testing and system reliability engineering
Prior experience ramping high-complexity systems from NPI into MP
Full medical, dental, and vision packages, with generous premium coverage
Housing subsidy of $2,000/month for those living within walking distance of the office
Daily lunch and dinner in our office
Relocation support for those moving to San Jose (Santana Row)

Responsibilities

Lead quality assurance for US-based contract manufacturers and integrators (L10 servers, L11 racks)
Establish and maintain incoming, in-process, and outgoing inspection processes to ensure compliance with Etched standards
Partner with Test Engineering to define system-level test coverage, burn-in protocols, and reliability validation
Drive failure analysis, root-cause investigations, and corrective/preventive actions (8D, CAPA)
Track, analyze, and report on quality metrics (yield, defect density, escapes, DPPM) to both engineering and operations stakeholders
Participate in ECO reviews, configuration changes, and NPI build reviews to enforce quality gates
Conduct supplier audits and ensure adherence to industry standards (ISO/AS, IPC)
Collaborate with Manufacturing Operations to scale line capability, training, and documentation
Champion continuous improvement projects across yield, throughput, and defect reduction
May be a good fit if you have 5+ years of experience in quality engineering, supplier quality, or manufacturing quality roles in datacenter hardware, servers, or semiconductor-related systems

Skills

Key technologies and capabilities for this role

Quality AssuranceInspection ProcessesFailure AnalysisRoot Cause Analysis8DCAPAQuality MetricsYield AnalysisSupplier AuditsISOIPCNPIECOBurn-in ProtocolsReliability Validation

Questions & Answers

Common questions about this position

Is this Quality Engineer role remote or onsite?

The role is onsite and based in the US, with expectations to work hands-on at contract manufacturer factories.

What experience is required for this Quality Engineer position?

Candidates need 5+ years in quality engineering, supplier quality, or manufacturing quality in datacenter hardware, servers, or semiconductor systems, proven work with Tier 1 US-based contract manufacturers or ODMs, familiarity with server assembly, burn-in, and system-level tests, strong knowledge of quality tools like SPC, FMEA, control plans, and DOE, plus excellent cross-functional communication skills.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of collaboration is involved in this Quality Engineer role?

The role collaborates closely with Manufacturing Operations, Supply Chain, and Test Engineering, bridging Etched HQ and factory teams, and involves cross-functional communication across engineering, operations, and suppliers.

What makes a strong candidate for this Quality Engineer position?

Strong candidates have a background in AI ASIC or high-performance compute hardware, experience with L11 rack-level integration and validation, and exposure to thermal/power stress testing and system reliability.

Etched.ai

Develops servers for transformer inference

About Etched.ai

The company specializes in developing powerful servers for transformer inference, utilizing transformer architecture integrated into their chips to achieve highly efficient and advanced technology. The main technologies used in the product are transformer architecture and advanced chip integration.

Cupertino, CA, USAHeadquarters

2022Year Founded

$5.4MTotal Funding

SEEDCompany Stage

HardwareIndustries

11-50Employees