Senior Engineer - Computing Architecture

February 25

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Axelera AI

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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.

Artificial Intelligence • Edge Computing • Computer Vision • Machine Learning

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🔧 Hardware

🏢 Enterprise

📋 Description

• About Axelera AI • Creating the next-generation AI platform to support advancing humanity • Raised a total of $120 million in three years • A world-class team of 180+ employees • Launched Metis™ AI Platform for increased efficiency and performance • Commitment to innovation as a global industry pioneer • Seeking a Senior Engineer – Computing Architecture • Design and develop AI computing systems • Collaborate with teams to define architectural requirements and optimize performance • Contribute to detailed specifications and implementation of advanced computing architectures • Key responsibilities include Architecture Design, Performance Optimization, Technology Leadership, and more • Provide technical guidance and mentorship to junior engineers

🎯 Requirements

• Master’s or PhD in Computer Engineering, Electrical Engineering, or a related field. • 5+ years of experience in computing architecture or system design, preferably within AI, semiconductor, or computing domains. • Strong expertise in processor design, memory hierarchies, and interconnect technologies. • Proficiency in architectural modeling, simulation tools, and performance analysis frameworks. • Deep understanding of AI workloads, algorithms, and dataflow. • Proven track record of delivering complex computing architectures from concept to implementation. • Strong communication and collaboration skills, with the ability to work in a multidisciplinary and global environment. • Fluency in English. • Experience in designing AI accelerators, including neural processing units (NPUs) or graphics processing units (GPUs). • Proficient in programming languages such as C or Python. • Familiarity with high-performance computing (HPC) techniques and standards. • Knowledge of edge AI deployment scenarios and their unique architectural challenges. • Experience with hardware description languages (HDLs) such as Verilog or VHDL. • Expertise in power management and thermal design for embedded systems.

🏖️ Benefits

• Attractive compensation package • Pension plan • Extensive employee insurances • Option to get company shares • Open culture that supports creativity and continual innovation • Collaborative ownership and freedom with responsibility