Reliability Engineer

Intel; Boxborough (MA); On-site; USD 122,000 - 232,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plans

Vacation

Job summary

Intel is seeking an experienced Reliability Engineer to define and own pod-level reliability specifications for a large-scale AI hardware data center. You will drive RAS-focused design targets across compute, memory, storage, network, and power subsystems.

You will lead FMEA, root-cause analysis, and telemetry-driven improvements, partnering with facilities on N+1 redundancy and disaster recovery. This on-site role at multiple US locations emphasizes data-driven reliability across silicon and

Qualifications

• Minimum: BS/MS/PhD in EE/ME Reliability or related; 4–6 yrs experience.
• Experience authoring and owning reliability specs and requirement flow-down.
• Strong RAS, FMEA, statistical reliability (Weibull, FIT) skills.
• Experience with large-scale fleet telemetry and thermal/power redundancy.

Responsibilities

• Define and maintain pod-level reliability/availability specs and targets (MTBF, AFR, RAS) for compute, memory, storage, network, power, and cooling subsystems.
• Translate system/SLA requirements into pod and subsystem level reliability specs; flow requirements down to silicon, platform, and facilities teams.
• Lead FMEA, root-cause analysis, and pod fleet failure-data analytics to drive corrective actions and spec updates.
• Architect RAS features (ECC, memory mirroring, predictive failure, telemetry) and graceful degradation/redundancy against pod-level specs.
• Partner with facilities on pod power/cooling redundancy (N+1, 2N), thermal margins, and disaster-recovery readiness.
• Establish HALT/HASS, burn-in, qualification processes; track field returns and KPIs against pod spec.

Skills

RAS

FMEA

Statistical reliability

Fleet telemetry

Thermal/power redundancy

Python

SQL

Education

BS/MS/PhD in EE/ME Reliability or related

Job description

Job Details

Job Description: Join us to help build the next generation of AI hardware solutions. You will be part of a highly skilled, agile team developing cutting-edge hardware for the AI domain, where we push the boundaries of what silicon can do for emerging AI workloads. With a startup-like culture, we move quickly and give engineers the opportunity to drive significant technical and business impact.

We are continuously developing modern and effective working methods, including hands-on adoption of AI tools throughout the chip development flow.

Mission

Define and own the pod-level reliability specifications that ensure the availability, resilience, and serviceability of a large-scale data center across hardware, thermal, and operational dimensions.

Responsibilities

• Define and maintain pod-level reliability/availability specs and targets (MTBF, AFR, RAS) for compute, memory, storage, network, power, and cooling subsystems.


• Translate system/SLA requirements into pod and subsystem level reliability specs; flow requirements down to silicon, platform, and facilities teams.


• Lead FMEA, root-cause analysis, and pod fleet failure-data analytics to drive corrective actions and spec updates.


• Architect RAS features (ECC, memory mirroring, predictive failure, telemetry) and graceful degradation/redundancy against pod-level specs.


• Partner with facilities on pod power/cooling redundancy (N+1, 2N), thermal margins, and disaster-recovery readiness.


• Establish HALT/HASS, burn-in, qualification processes; track field returns and KPIs against pod spec.

Qualifications

Minimum Qualifications

• BS/MS/PhD in EE/ME Reliability or related; and/or at least 4-6 yrs experience.


• Experience authoring and owning reliability specs and requirement flow-down.


• Strong RAS, FMEA, statistical reliability (Weibull, FIT) skills.


• Experience with large-scale fleet telemetry and thermal/power redundancy.

Preferred Qualifications

• AI cluster operations, data analytics (Python/SQL).

Job Type

Experienced Hire

Shift

Shift 1 (United States of America)

Primary Location

US, Massachusetts, Beaver Brook

Additional Locations

US, California, Santa Clara

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US

$122,440.00 - 232,190.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION

Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.