Principal Engineer (Software Application Architecture)

Location: Hybrid role based at an assigned Intel site in Hillsboro, Oregon, with additional locations in Phoenix, Arizona; Folsom, California; and Santa Clara, California. The role splits time between on-site and off-site work in the United States.

Annual salary: $233,990–$383,460 USD.

Company

Software group developing software technologies that complement and enhance hardware solutions across diverse product and software ecosystem domains.

What you will do

• Own the end-to-end technical architecture for a telemetry platform spanning field and validation data collection, data lakes, and insights delivery.
• Drive crash analytics and reliability modeling to accelerate root-cause analysis, de-duplicate failures, and reduce product escapes at scale.
• Scale ingestion and analysis across millions of endpoints and thousands of data points while supporting platform onboarding, flighting, and data collection.
• Partner with product architecture, validation, quality, customer-enabling teams, OEMs, Microsoft, and telemetry providers to turn telemetry into business actions.
• Define engineering standards, coding practices, tooling, validation processes, metrics, and predictive models for platform, ingredient, and OEM quality.
• Lead scalable and secure in-field and application telemetry solutions and formulate technical strategies for delivering products to market.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field with 12+ years of experience; or a Master's degree with 8+ years; or a PhD with 6+ years.
• 7+ years building field telemetry and data collection systems at scale across millions of endpoints and thousands of data points.
• Deep knowledge of Intel client platform architecture and Windows and Linux OS internals, including BSOD, live kernel dumps, machine checks, and event logs.
• Proven software architecture experience focused on scalability, security, and resiliency in high-volume ingestion, storage, and analysis pipelines.
• Hands-on experience with data lake and analytics stacks including Snowflake, Databricks, and cloud services.
• Experience defining coding standards, development tooling, and validation processes.
• Applied analytics or machine learning experience with failure classification, bucketing, de-duplication, anomaly detection, and predictive quality trending.
• Demonstrated success driving technical direction and execution for large-scale software programs, influencing cross-functional teams, and communicating complex strategies to technical and business audiences.
• Experience presenting at industry conferences and participating in standards committees.

Culture & Benefits

• Hybrid work model combining on-site work at an assigned site with off-site work.
• Health, retirement, and vacation benefits.
• Competitive pay and stock bonuses.
• Position of Trust requiring consent to and successful completion of an extended background investigation, subject to applicable law.