Senior AI Solution Architect

Intel
United States
Workplace: OnsiteFull timeUSD 170,500 - 315,490 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 2+ yearsEducation: bachelorsSkills: ["Cross-functional collaboration","Mentoring","Technical leadership","System-level debugging","Architectural decision-making"]

Design, implement, and optimize AI accelerator systems and cloud infrastructure for large-scale ML workloads. Lead platform bring-up, validation, and end-to-end debugging across AI clusters spanning hardware, firmware, and software. Build automated test, monitoring, and diagnostic tools, and coordinate with cross-functional teams and OEM vendors to ensure production readiness. Mentor junior engineers while driving technical decisions and architectural improvements for next-generation AI platforms.

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FursaFursa
Intel
Intel
1 day ago

Senior AI Solution Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Design, implement, and optimize AI accelerator systems and cloud infrastructure for large-scale ML workloads. Lead platform bring-up, validation, and end-to-end debugging across AI clusters spanning hardware, firmware, and software. Build automated test, monitoring, and diagnostic tools, and coordinate with cross-functional teams and OEM vendors to ensure production readiness. Mentor junior engineers while driving technical decisions and architectural improvements for next-generation AI platforms.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and optimize AI accelerator systems (Gaudi, GPU clusters) for production ML workloads.
  • •Debug PCIe, memory subsystem, and interconnect issues in AI clusters and validate/integrate GPUs and AI accelerator platforms.
  • •Lead platform bring-up and validation for next-generation AI hardware, including creating comprehensive test plans.
  • •Perform full-stack debugging across hardware, firmware, and software layers; collaborate with OEM vendors on BMC firmware integration.
  • •Develop automated testing frameworks and monitoring solutions, plus diagnostic tools and APIs for system health monitoring.

Pay and Benefits

Salary: USD 170,500 - 315,490 annually
Equity and Bonus:Equity
Perks:Health InsuranceRetirementPaid Leave

Key Requirements

  • •Bachelor’s (or Master’s/PhD) in Computer Science, Electrical Engineering, or related field with minimum years aligned to degree (6+ years with Bachelor’s, 4+ with Master’s, 2+ with PhD).
  • •5+ years in system engineering, platform validation, or related roles.
  • •3+ years bringing up and debugging high-performance AI clusters.
  • •3+ years resolving complex system-level issues in production AI/ML environments.
  • •3+ years in AI cluster design, validation, and production deployment.
Experience:2+ yearsAI/MLMachine learningCloud infrastructureEnterprise environmentsProduction deployment
Education:Bachelor's
Skills:Cross-functional collaborationMentoringTechnical leadershipSystem-level debuggingArchitectural decision-making
Tech Stack:AI accelerator systemsGaudiGPU clustersPCIeMemory subsystemInterconnectGPUsLinux/UnixDockerPythonShell scriptingVLLMPyTorchTensorFlowOpenMPIRedfishIPMIBMCBMC managementComputer architecture

Company Brief

Intel
Designs and manufactures semiconductor chips, processors, and related hardware for PCs, data centers, networking, and embedded applications, while providing software and services to accelerate computing across industries globally.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1968
Glassdoor
Glassdoor: 3.8
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