Ecosystem Integration Engineer

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Axelera AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🔧 Hardware

🏢 Enterprise

Artificial Intelligence • Hardware • Enterprise

Axelera AI is a leading provider of AI hardware acceleration technology tailored for generative AI and computer vision inference. The company offers advanced AI processing units designed to integrate seamlessly into innovations, focused on delivering high-performance, cost-effective, and energy-efficient AI solutions. Axelera AI's flagship product, the Metis AI Processing Unit, accelerates inference at the edge, making it ideal for applications like video analysis and multi-channel video analytics. The company is recognized for its deep tech innovations and is actively contributing to the advancement of AI by providing state-of-the-art AI acceleration capabilities for edge computing.

📋 Description

• Act as the primary technical point of contact for ODM partners adopting Axelera PCIe accelerator cards, M.2 modules, and AI SBCs into their systems. • Guide partners through hardware integration: compatibility, power budget, cooling, mechanical clearances, and BIOS/firmware settings. • Support partner bring-up: OS/driver installation, Voyager SDK deployment, and first-inference validation on customer platforms. • Produce and maintain integration guides, application notes, and FAQs tailored to key ODM accounts. • Provide on-site or remote support to CMs during Mass Production Introduction (MPI) phases, including first-article inspection and pilot-run reviews. • Review and validate CM production test procedures against Axelera ATE/ICT requirements; escalate deviations to the AIS engineering team. • Own in-field production defect triage: collect failure evidence, replicate issues on bench, and drive root-cause analysis in collaboration with R&D engineers. • Maintain a defect log and track corrective/preventive actions (CAPA) through to closure. • Coordinate with power component suppliers (DCDC converters, PMUs, DDR, passive components) on qualification questions and field-reported anomalies. • Perform bench characterisation of power-related issues (efficiency, regulation, transient response) and communicate findings to internal power integrity engineers. • Support BOM change evaluations for sourced alternatives, providing electrical equivalency data to the AIS team. • Contribute to the qualification of new components (power ICs, passives, memory, connectors) for Axelera in-house hardware products, leveraging proximity to the Taiwan supply chain and key component manufacturers. • Evaluate pin-compatible or functionally equivalent alternatives proposed during BOM reviews or component end-of-life transitions; provide electrical characterisation data and board-level validation results to the AIS design team. • Support design verification activities for new PCB revisions or new product introductions: perform bring-up, functional testing, and regression against previous hardware baselines. • Act as the local technical interface with design partners or EMS providers during engineering prototype builds (EVT/DVT), collecting build feedback and coordinating issue resolution with Axelera HW engineers. • Document qualification outcomes, test reports, and design deviation assessments in Axelera’s PLM/document control system.

🎯 Requirements

• 5+ years of hands-on experience in electronic hardware engineering, with a focus on embedded or system-level PCB design. • Solid understanding of digital interfaces: PCIe, USB, I2C/SPI/UART, LPDDR — at both schematic and signal-integrity level. • Proficiency with lab instruments: oscilloscope, logic analyser, power analyser, JTAG debugger. • Ability to read and annotate schematics and PCB layouts. • Proven experience integrating add-in cards or modules (PCIe, M.2, MXM, or similar) into OEM/ODM host platforms. • Familiarity with mechanical and thermal constraints: heatsink mounting, TIM selection, chassis airflow, and IEC/JEDEC temperature classifications. • Understanding of EMC/ESD considerations at board and system level. • Comfortable installing and configuring Linux (Ubuntu/Debian) from scratch, including kernel module loading and device tree basics. • Ability to follow SDK documentation, execute inference pipelines, and interpret performance results — formal ML/AI expertise is not required. • Familiarity with EMS/CM processes: BOM review, first-article inspection, IQC, production test, and failure analysis workflow. • Experience supporting a product through at least one MPI or EVT/DVT/PVT cycle.

🏖️ Benefits

• attractive compensation package • pension plan • extensive employee insurances • option to get company shares