Senior Cloud Server Hardware Architect (GPU/AI)

Akamai Technologies, Inc.; Cambridge (MA); On-site; USD 121,000 - 219,000; Full time

Benefits offered by this job

Health benefits

401K savings plan

Equity awards

ESPP

Parental leave

Job summary

Akamai Technologies, Inc. is expanding its Cambridge hardware team to build next-generation cloud server platforms optimized for AI and cloud workloads.

You will lead the architecture, bring-up, validation, and release of compute and GPU servers, collaborating with OEM/ODM partners to balance performance, efficiency, and cost. Ideal candidates have 8+ years in hardware engineering, strong systems knowledge, and hands-on debugging across power, thermal, storage, and networking.

Qualifications

• 8 years of relevant hardware experience across server platforms.
• Foundation in server architecture and board-level design/debug.
• Experience with platform validation, performance, and power/thermal concerns.

Responsibilities

• Own platform development for compute and GPU servers.
• Define requirements, review schematics/layouts, guide DFM, drive platform NPI from EVT to MP.
• Lead bring-up and debug of boards and systems (power, thermal, storage, networking, manageability).
• Develop and execute validation plans; root-cause issues across HW/FW/SW.
• Collaborate with OEM/ODM, silicon, and component suppliers for optimized configurations.
• Manage component firmware/BIOS/OpenBMC features (performance/power/thermal, secure boot, telemetry).
• Qualify technologies: PCIe Gen5/Gen6 GPUs, CPUs, NICs, DPUs, NVMe drives, DRAM.
• Design and validate GPU platforms including PCIe/NVLink topologies and reliability.

Skills

Server architecture

Board-level design

Linux scripting

Vendor management

Education

Bachelor's degree in Computer Engineering

Job description

Akamai Technologies, Inc. is expanding its Cambridge hardware team to build next-generation cloud server platforms optimized for AI and cloud workloads.

You will lead the architecture, bring-up, validation, and release of compute and GPU servers, collaborating with OEM/ODM partners to balance performance, efficiency, and cost. Ideal candidates have 8+ years in hardware engineering, strong systems knowledge, and hands-on debugging across power, thermal, storage, and networking.