Senior Engineer, Axelera AI

• Bachelor’s, Master’s, or PhD in Electrical Engineering, Computer Engineering, or a related field
• 3+ years of experience in software engineering and tooling infrastructure
• Proficiency in python programming and strong understanding of language features and best practices
• Experience with python packaging tools and knowledgeable in package distribution and dependency management
• Expertise in automated testing frameworks and CI/CD systems
• Hands-on experience with low-level C programming and understanding of computer system architecture basics
• Proven ability to develop, deploy, and maintain complex tooling infrastructures in a collaborative, multidisciplinary environment
• Strong debugging, problem-solving, and optimization skills
• Excellent communication and collaboration skills, with a focus on cross-functional teamwork

Desirable

• Axelera AI is looking for an experienced Senior Engineer – Computing Architecture with a strong software engineering and tooling background to support the development of state-of-the-art AI computing systems
• In this role, you will work as a software engineer in the Architecture team and be responsible for designing, implementing, and maintaining the foundational tools and methodologies required for developing complex integrated circuits and computing architectures
• As part of the Architecture team, you will collaborate with cross-disciplinary teams, ensuring that our design environment is optimized for efficiency, accuracy, and scalability
• This is an exciting opportunity to drive the creation of best-in-class tooling solutions while contributing to breakthrough advancements in AI
• Tooling Infrastructure: Develop and optimize custom tooling frameworks and workflows to support the architecture, design, and verification of AI computing systems
• Automation: Create robust scripts and automation pipelines to streamline IC development, reduce manual effort, and improve design quality
• Design Collaboration: Work closely with architecture, hardware, and software teams to ensure tooling infrastructure aligns with project goals and design methodologies
• Performance Analysis: Optimize design flows for performance, scalability, and resource utilization, ensuring that tools and workflows meet project deadlines and quality standards
• Technical Leadership: Lead initiatives to continuously improve the design environment, adopting industry best practices and emerging technologies
• Documentation and Training: Document workflows, tools, and methodologies; provide training and support to team members